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IJFcitations.tex
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IJFcitations.tex
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\documentclass[11pt,a4paper]{elsarticle} %review=doublespace preprint=single 5p=2 column
%%% Begin My package additions %%%%%%%%%%%%%%%%%%%
\usepackage[hyphens]{url}
\journal{International Journal of Forecasting} % Sets Journal name
\usepackage{lineno} % add
\providecommand{\tightlist}{%
\setlength{\itemsep}{0pt}\setlength{\parskip}{0pt}}
\bibliographystyle{elsarticle-harv}
\biboptions{sort&compress} % For natbib
\usepackage{graphicx}
\usepackage{booktabs} % book-quality tables
%%%%%%%%%%%%%%%% end my additions to header
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\else
\usepackage[unicode=true]{hyperref}
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\hypersetup{breaklinks=true,
bookmarks=true,
pdfauthor={},
pdftitle={International Journal of Forecasting 1985-2018: A retrospective based on bibliometric and knowledge diffusion analysis},
colorlinks=false,
urlcolor=blue,
linkcolor=magenta,
pdfborder={0 0 0}}
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% Pandoc toggle for numbering sections (defaults to be off)
% Pandoc header
%% FONT and LAYOUT
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%% CAPTIONS
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{labelfont={bf},textfont={it},labelsep=colon}
\captionsetup[figure]{style=italic,format=hang,singlelinecheck=true}
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%% MATHS
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%% GRAPHICS
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\usepackage{rotate}
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\usepackage{indentfirst}
\newcommand{\tablea}
{\begin{table}[!htbp]
\centering
\caption{Information about top 20 most cited IJF papers}
\setlength{\tabcolsep}{3.5mm}{
\begin{tabular}{ccccccc}
\hline
Rank & Paper & TC & TC/Year & Country & Nau & Nin\\
\hline
1 & ZHANG et al. (1998) & 2007 & 95.57 & USA & 3 & 1\\
2 & HYNDMAN and KOEHLER (2006) & 1198 & 92.15 & Australia & 2 & 2\\
3 & CLEMEN (1989) & 1105 & 36.83 & USA & 1 & 1\\
4 & ROWE and WRIGHT (1999) & 941 & 47.05 & UK & 2 & 2\\
5 & MAKRIDAKIS and HIBON (2000) & 669 & 35.21 & France & 2 & 1\\
6 & DE GOOIJER and HYNDMAN (2006) & 612 & 47.08 & Netherlands & 2 & 2\\
7 & ARMSTRONG and COLLOPY (1992) & 573 & 21.22 & USA & 2 & 2\\
8 & HARVEY et al. (1997) & 564 & 25.64 & UK & 3 & 1\\
9 & WITT and WITT (1995) & 468 & 19.50 & UK & 2 & 2\\
10 & THOMAS (2000) & 390 & 20.53 & UK & 1 & 1\\
11 & MEADE and ISLAM (2006) & 381 & 29.31 & UK & 2 & 2\\
12 & GARDNER (2006) & 377 & 29.00 & USA & 1 & 1\\
13 & DIEBOLD and YILMAZ (2012) & 375 & 53.57 & USA & 2 & 3\\
14 & HOLT (2004) & 372 & 24.80 & USA & 1 & 1\\
15 & WERON (2014) & 345 & 69.00 & Poland & 1 & 1\\
16 & HYNDMAN et al. (2002) & 310 & 18.24 & Australia & 4 & 2\\
17 & CONEJO et al, (2005) & 282 & 20.14 & Spain & 4 & 2\\
18 & TAYLOR et al., (2006) & 265 & 20.38 & UK & 3 & 3\\
19 & BROWN (1993) & 221 & 8.50 & USA & 1 & 1\\
20 & LAWRENCE (2006) & 212 & 16.31 & Australia & 4 & 4\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tableb}
{\begin{table}[!htbp]
\centering
\caption{Information about the most local cited IJF papers}
\setlength{\tabcolsep}{7mm}{
\begin{tabular}{ccccc}
\hline
Rank & Paper & LC & TC & LC/ TC\\
\hline
1 & DE GOOIJER and HYNDMAN (2006) & 33 & 612 & 5.39\%\\
2 & WERON (2014) & 17 & 345 & 4.93\%\\
3 & GARDNER (2006) & 16 & 377 & 4.24\%\\
4 & MAKRIDAKIS and HIBON (2000) & 16 & 669 & 2.39\%\\
5 & ZHANG et al. (1998) & 12 & 2007 & 0.60\%\\
6 & CLEMEN (1989) & 11 & 1105 & 1.00\%\\
7 & CRONE et al. (2011) & 10 & 108 & 9.26\%\\
8 & TAYLOR et al. (2008) & 10 & 124 & 8.06\%\\
9 & LAWRENCE et al. (2006) & 10 & 212 & 4.72\%\\
10 & DARBELLAY and SLAMA (2000) & 10 & 207 & 4.83\%\\
11 & MAKRIDAKIS (1993) & 10 & 133 & 7.52\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablec}
{\begin{table}[!htbp]
\centering
\caption{Information about the most co-cited papers in the co-citation network}
\setlength{\tabcolsep}{0.3mm}{
\begin{tabular}{c c c c c c c c c c}
\hline
Rank & Co & Paper & Source & FY & LY & Y & best year (number) & Ave-Co & Citation\\
\hline
1 & 26 & TIMMERMANN (2006) & HEF & 2009 & 2014 & 6 & 2009(9) & 4.33 & 1247\\
2 & 24 & GIACOMINI and WHITE (2006) & Econometrica & 2007 & 2014 & 8 & 2009/2011/2013(5) & 3.00 & 1231\\
3 & 22 & MAKRIDAKIS and HIBON (2000) & IJF & 2003 & 2008 & 6 & 2006(7) & 3.67 & 1325\\
4 & 20 & HANSEN et al. (2011) & Econometrica & 2012 & 2018 & 7 & 2018(7) & 2.86 & 1036\\
5 & 18 & GIANNONE et al. (2008) & JME & 2013 & 2018 & 6 & 2016(8) & 3.00 & 793\\
6 & 17 & HYNDMAN and KOEHLER (2006) & IJF & 2009 & 2014 & 6 & 2011(6) & 2.83 & 2338\\
7 & 16 & ARMSTRONG (2001) & PF: AHRP & 2001 & 2007 & 7 & 2002/2006(6) & 2.28 & 1740\\
8 & 15 & FILDES et al. (2009) & IJF & 2011 & 2017 & 7 & 2013(7) & 2.14 & 299\\
9 & 14 & HONG et al. (2016) & IJF & 2016 & 2018 & 3 & 2016(8) & 4.67 & 251\\
10 & 14 & LAWRENCE (2006) & JACC & 2007 & 2013 & 7 & 2013(6) & 2.00 & 379\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tabled}
{\begin{table}[!htbp]
\centering
\caption{Information about the top ten prolific authors in IJF}
\setlength{\tabcolsep}{2.7mm}{
\begin{tabular}{ccccccccccc}
\hline
Rank & Author & TP & Country & FY & LY & Y & 1st & 1st \% & Cor & Cor \%\\
\hline
1 & ARMSTRONG JS & 50 & USA & 1985 & 2014 & 30 & 35 & 70.00\% & 34 & 68.00\%\\
2 & FILDES R & 42 & UK & 1985 & 2017 & 33 & 31 & 73.81\% & 31 & 73.81\%\\
3 & FRANSES PH & 26 & Netherlands & 1991 & 2017 & 27 & 12 & 46.15\% & 13 & 50.00\%\\
4 & HYNDMAN RJ & 24 & Australia & 1992 & 2018 & 27 & 11 & 45.83\% & 13 & 54.17\%\\
5 & STEKLER HO & 24 & USA & 1988 & 2015 & 28 & 10 & 41.67\% & 12 & 50.00\%\\
6 & GOODWIN P & 22 & UK & 1993 & 2017 & 25 & 10 & 45.45\% & 13 & 59.09\%\\
7 & MAKRIDAKIS S & 22 & Cyprus & 1985 & 2018 & 34 & 17 & 77.27\% & 15 & 68.18\%\\
8 & CLEMENTS MP & 20 & UK & 1997 & 2018 & 22 & 18 & 90.00\% & 11 & 55.00\%\\
9 & KOEHLER AB & 19 & USA & 1985 & 2017 & 33 & 6 & 31.58\% & 10 & 52.63\%\\
10 & O'CONNOR M & 18 & Australia & 1989 & 2007 & 19 & 5 & 27.78\% & 7 & 38.89\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablee}
{\begin{table}[!htbp]
\centering
\caption{Information about the top ten most cited IJF authors}
\setlength{\tabcolsep}{4.3mm}{
\begin{tabular}{ccccccccc}
\hline
Rank & Author & TC & TP & TC/TP & LC & \% & OC & \%\\
\hline
1 & HYNDMAN RJ & 2547 & 24 & 106.13 & 121 & 4.75\% & 2426 & 95.25\%\\
2 & ZHANG G & 2075 & 1 & 2075.00 & 27 & 1.30\% & 2048 & 98.70\%\\
3 & KOEHLER AB & 1728 & 19 & 90.95 & 82 & 4.75\% & 1646 & 95.25\%\\
4 & ARMSTRONG JS & 1514 & 44 & 34.41 & 149 & 9.84\% & 1365 & 90.16\%\\
5 & MAKRIDAKIS S & 1338 & 22 & 60.82 & 178 & 13.30\% & 1160 & 86.70\%\\
6 & WRIGHT G & 1217 & 9 & 135.22 & 47 & 3.86\% & 1170 & 96.14\%\\
7 & CLEMEN RT & 1182 & 6 & 197.00 & 107 & 9.05\% & 1075 & 90.95\%\\
8 & HIBON M & 1057 & 11 & 96.09 & 140 & 13.25\% & 917 & 86.75\%\\
9 & ROWE G & 1027 & 3 & 342.33 & 20 & 1.95\% & 1007 & 98.05\%\\
10 & DE GOOIJER JG & 770 & 9 & 85.56 & 31 & 4.03\% & 739 & 95.97\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablef}
{\begin{table}
\centering
\caption{Information about the top ten prolific countries}
\setlength{\tabcolsep}{6mm}{
\begin{tabular}{cccccccc}
\hline
Rank & Country & TP & FY & LY & Y & TP/Y & \% of total\\
\hline
1 & USA & 798 & 1985 & 2018 & 34 & 23.47 & 41.18\%\\
2 & UK & 420 & 1985 & 2018 & 34 & 12.35 & 21.67\%\\
3 & Australia & 178 & 1985 & 2018 & 34 & 5.24 & 9.18\%\\
4 & Germany & 110 & 1988 & 2018 & 31 & 3.55 & 5.68\%\\
5 & Netherlands & 99 & 1988 & 2018 & 31 & 3.19 & 5.11\%\\
6 & Spain & 93 & 1986 & 2018 & 33 & 2.82 & 4.80\%\\
7 & Canada & 84 & 1985 & 2018 & 34 & 2.47 & 4.33\%\\
8 & Italy & 70 & 1987 & 2018 & 32 & 2.19 & 3.61\%\\
9 & France & 67 & 1986 & 2018 & 33 & 2.03 & 3.46\%\\
10 & Belgium & 36 & 1989 & 2018 & 30 & 1.20 & 1.86\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tableg}
{\begin{table}
\centering
\caption{Information about the top ten most cited countries}
\setlength{\tabcolsep}{4mm}{
\begin{tabular}{ccccccccc}
\hline
Rank & Country & TC & TP & TC/TP & In-TC & In\% & Out-TC & Out\%\\
\hline
1 & USA & 22875 & 798 & 28.67 & 901 & 3.94\% & 21974 & 96.06\%\\
2 & UK & 12899 & 420 & 30.71 & 646 & 5.01\% & 12253 & 94.99\%\\
3 & Australia & 6540 & 178 & 36.74 & 352 & 5.38\% & 6188 & 94.62\%\\
4 & Netherlands & 2635 & 99 & 26.62 & 150 & 5.69\% & 2485 & 94.31\%\\
5 & France & 2417 & 67 & 36.07 & 226 & 9.35\% & 2191 & 90.65\%\\
6 & Germany & 2023 & 110 & 18.39 & 164 & 8.11\% & 1859 & 91.89\%\\
7 & Spain & 1876 & 93 & 20.17 & 128 & 6.82\% & 1748 & 93.18\%\\
8 & Canada & 1850 & 84 & 22.02 & 121 & 6.54\% & 1729 & 93.46\%\\
9 & Italy & 1122 & 70 & 16.03 & 122 & 10.87\% & 1000 & 89.13\%\\
10 & turkey & 1061 & 33 & 32.15 & 57 & 5.37\% & 1004 & 94.63\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tableh}
{\begin{table}
\centering
\caption{Information about the countries in the country collaboration network}
\setlength{\tabcolsep}{7mm}{
\begin{tabular}{cccccc}
\hline
Rank & Country & Link & CM & Number & N/L\\
\hline
1 & USA & 217 & UK & 44 & 20.28\%\\
2 & UK & 201 & USA & 44 & 21.89\%\\
3 & Australia & 116 & US & 42 & 36.21\%\\
4 & Netherlands & 69 & USA/Belgium & 8 & 11.59\%\\
5 & Germany & 61 & USA & 14 & 22.95\%\\
6 & Italy & 57 & UK & 21 & 36.84\%\\
7 & Canada & 54 & USA & 19 & 35.19\%\\
8 & France & 49 & UK & 15 & 30.61\%\\
9 & Spain & 39 & UK & 13 & 33.33\%\\
10 & Belgium & 34 & Netherlands/UK & 8 & 23.53\%\\
11 & Denmark & 32 & Netherlands & 7 & 21.88\%\\
12 & Turkey & 30 & UK & 12 & 40.00\%\\
13 & Switzerland & 20 & USA & 4 & 20.00\%\\
14 & Brazil & 19 & UK & 6 & 31.58\%\\
15 & China & 19 & USA & 9 & 47.37\%\\
16 & Sweden & 15 & Netherlands & 4 & 26.67\%\\
17 & Taiwan & 14 & USA & 5 & 35.71\%\\
18 & Norway & 12 & Italy & 4 & 33.33\%\\
19 & Greece & 11 & UK & 6 & 54.55\%\\
20 & New Zealand & 11 & USA & 6 & 54.55\%\\
21 & South Korea & 11 & USA & 8 & 72.73\%\\
22 & Austria & 10 & Germany & 5 & 50.00\%\\
23 & Japan & 10 & USA/Japan & 3 & 30.00\%\\
24 & Portugal & 8 & Spain/USA & 3 & 37.50\%\\
25 & Finland & 7 & Sweden/UK/USA & 2 & 28.57\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablei}
{\begin{table}[!htbp]
\centering
\caption{Information about the top ten most prolific subject areas}
\setlength{\tabcolsep}{1.1mm}{
\begin{tabular}{c c c c|c c c c}
\hline
\multicolumn{4}{c|}{29464 citing papers of IJF} & \multicolumn{4}{c}{16419 citing papers of JF}\\
\hline
Rank & Subject area & NP1 & Percent1 & Rank & Subject area & NP2 & Percent2\\
\hline
1 & Computer Science & 7586 & 25.75\% & 1 & \makecell[c]{Economics, Econometrics \\ and Finance} & 5184 & 31.57\%\\
2 & \makecell[c]{Economics, Econometrics \\ and Finance} & 7487 & 25.41\% & 2 & \makecell[c]{Business, Management \\ and Accounting} & 4891 & 29.79\%\\
3 & \makecell[c]{Business, Management \\ and Accounting} & 7449 & 25.28\% & 3 & Mathematics & 3946 & 24.03\%\\
4 & Engineering & 5888 & 19.98\% & 4 & Computer Science & 3791 & 23.09\%\\
5 & Mathematics & 5482 & 18.61\% & 5 & Decision Sciences & 2971 & 18.09\%\\
6 & Social Sciences & 4277 & 14.52\% & 6 & Engineering & 2305 & 14.04\%\\
7 & Decision Sciences & 3665 & 12.44\% & 7 & Social Sciences & 2179 & 13.27\%\\
8 & Energy & 2222 & 7.54\% & 8 & Environmental Science & 1109 & 6.75\%\\
9 & Environmental Science & 2070 & 7.03\% & 9 & Energy & 641 & 3.90\%\\
10 & Earth and Planetary Sciences & 969 & 3.29\% & 10 & Earth and Planetary Sciences & 588 & 3.58\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablej}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Computer Science }
\setlength{\tabcolsep}{0.5mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Forecasting & 1814 & 1464 & 80.71\%\\
2 & Expert Systems with Applications & 1279 & 553 & 43.24\%\\
3 & Neurocomputing & 686 & 259 & 37.76\%\\
4 & European Journal of Operational Research & 647 & 462 & 71.41\%\\
5 & Lecture Notes in Computer Science & 609 & 444 & 72.91\%\\
6 & Applied Soft Computing & 446 & 160 & 35.87\%\\
7 & Decision Support Systems & 345 & 149 & 43.19\%\\
8 & Computational Statistics and Data Analysis & 341 & 214 & 62.76\%\\
9 & Neuro Computing and Application & 286 & 99 & 34.62\%\\
10 & Proceedings of The International Joint Conference on Neural Networks & 260 & 173 & 66.54\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablek}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Economics, Econometrics and Finance}
\setlength{\tabcolsep}{4.5mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of business and economic statistics & 1535 & 638 & 41.56\%\\
2 & Journal of Economics & 1227 & 497 & 40.51\%\\
3 & Journal of Applied Economics & 908 & 350 & 38.55\%\\
4 & Applied Economics & 891 & 459 & 51.52\%\\
5 & Energy Economics & 890 & 454 & 51.01\%\\
6 & Economic Modeling & 836 & 346 & 41.39\%\\
7 & Empirical Economics & 656 & 311 & 47.41\%\\
8 & Oxford Bulletin of Economics and Statistics & 436 & 184 & 42.20\%\\
9 & International Journal of Production Economics & 423 & 403 & 95.27\%\\
10 & Journal of Empirical Finance & 336 & 121 & 36.01\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablel}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Business, Management and Accounting}
\setlength{\tabcolsep}{3mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Forecasting & 1891 & 1547 & 81.81\%\\
2 & Tourism Management & 981 & 219 & 22.32\%\\
3 & Tourism Economics & 921 & 275 & 29.86\%\\
4 & International Journal of Production Economics & 785 & 421 & 53.63\%\\
5 & Journal of Travel Research & 721 & 162 & 22.47\%\\
6 & Journal of the Operational Research Society & 709 & 387 & 54.58\%\\
7 & Technological Forecasting and Social Change & 612 & 431 & 70.42\%\\
8 & Annals of Tourism Research & 591 & 116 & 19.63\%\\
9 & Organizational Behavior and Human Decision Processes & 412 & 193 & 46.84\%\\
10 & Omega & 378 & 208 & 55.03\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablem}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Business, Management and Accounting}
\setlength{\tabcolsep}{3mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Forecasting & 3391 & 1887 & 55.65\%\\
2 & Technological Forecasting and Social Change & 411 & 172 & 41.85\%\\
3 & International Journal of Production Economics & 408 & 113 & 27.70\%\\
4 & Journal of the Operational Research Society & 351 & 146 & 41.60\%\\
5 & Tourism Management & 327 & 70 & 21.41\%\\
6 & Organizational Behavior and Human Decision Processes & 316 & 68 & 21.52\%\\
7 & Tourism Economics & 309 & 51 & 16.50\%\\
8 & Omega & 299 & 80 & 26.76\%\\
9 & Journal of Behavioral Decision Making & 225 & 69 & 30.67\%\\
10 & Annals of Tourism Research & 213 & 48 & 22.54\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablen}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Economics, Econometrics and Finance}
\setlength{\tabcolsep}{5mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Business and Economic Statistics & 1319 & 549 & 41.62\%\\
2 & Journal of Econometrics & 1104 & 408 & 36.96\%\\
3 & Journal of Applied Econometrics & 755 & 232 & 30.73\%\\
4 & Economic Modelling & 615 & 250 & 40.65\%\\
5 & Energy Economics & 509 & 193 & 37.92\%\\
6 & Empirical Economics & 502 & 230 & 45.82\%\\
7 & Applied Economics & 466 & 236 & 50.64\%\\
8 & Oxford Bulletin of Economics and Statistics & 369 & 142 & 38.48\%\\
9 & Econometric Reviews & 285 & 100 & 35.09\%\\
10 & Journal of Empirical Finance & 267 & 93 & 34.83\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tableo}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Mathematics}
\setlength{\tabcolsep}{4mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Business and Economic Statistics & 978 & 563 & 57.57\%\\
2 & Empirical Economics & 405 & 231 & 57.04\%\\
3 & Journal of Econometrics & 385 & 201 & 52.21\%\\
4 & European Journal of Operational Research & 327 & 248 & 75.84\%\\
5 & Computational Statistics and Data Analysis & 301 & 154 & 51.16\%\\
6 & Journal of the American Statistical Association & 286 & 143 & 50.00\%\\
7 & Oxford Bulletin of Economics and Statistics & 255 & 144 & 56.47\%\\
8 & Journal of Applied Statistics & 251 & 176 & 70.12\%\\
9 & Journal of Time Series Analysis & 205 & 109 & 53.17\%\\
10 & Studies in Nonlinear Dynamics and Econometrics & 179 & 98 & 54.75\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablep}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Engineering}
\setlength{\tabcolsep}{2.2mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Expert Systems with Applications & 797 & 543 & 68.13\%\\
2 & Energies & 693 & 319 & 46.03\%\\
3 & Energy & 609 & 262 & 43.02\%\\
4 & Applied Energy & 595 & 209 & 35.13\%\\
5 & IEEE Transactions on Power Systems & 553 & 196 & 35.44\%\\
6 & International Journal of Production Economics & 513 & 403 & 78.56\%\\
7 & International Journal of Electrical Power and Energy Systems & 287 & 98 & 34.15\%\\
8 & Transportation Research Part C: Emerging Technologies & 233 & 63 & 27.04\%\\
9 & Mathematical Problems in Engineering & 203 & 106 & 52.22\%\\
10 & Electric Power Systems Research & 193 & 57 & 29.53\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tableq}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Mathematics}
\setlength{\tabcolsep}{4.6mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Forecasting & 2317 & 1464 & 63.19\%\\
2 & Journal of Business and Economic Statistics & 1290 & 638 & 49.46\%\\
3 & European Journal of Operational Research & 1002 & 757 & 75.55\%\\
4 & Empirical Economics & 608 & 311 & 51.15\%\\
5 & Lecture Notes in Computer Science & 525 & 444 & 84.57\%\\
6 & Journal of Econometrics & 463 & 205 & 44.28\%\\
7 & Computational Statistics and Data Analysis & 407 & 214 & 52.58\%\\
8 & Energies & 394 & 319 & 80.96\%\\
9 & Oxford Bulletin of Economics and Statistics & 363 & 184 & 50.69\%\\
10 & Journal of the American Statistical Association & 358 & 196 & 54.75\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tabler}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Social Sciences}
\setlength{\tabcolsep}{0.8mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Tourism Management & 1016 & 214 & 21.06\%\\
2 & Journal of Business and Economic Statistics & 1012 & 638 & 63.04\%\\
3 & Tourism Economics & 932 & 275 & 29.51\%\\
4 & Journal of Travel Research & 752 & 161 & 21.41\%\\
5 & Journal of Applied Econometrics & 640 & 350 & 54.69\%\\
6 & Annals of Tourism Research & 598 & 116 & 19.40\%\\
7 & Empirical Economics & 514 & 311 & 60.51\%\\
8 & Oxford Bulletin of Economics and Statistics & 309 & 184 & 59.55\%\\
9 & Journal of the Royal Statistical Society. series a: statistics in society & 183 & 93 & 50.82\%\\
10 & International Journal of Tourism Research & 177 & 27 & 15.25\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tables}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Decision Sciences}
\setlength{\tabcolsep}{4.5mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Forecasting & 2161 & 1464 & 67.75\%\\
2 & European Journal of Operational Research & 1401 & 757 & 54.03\%\\
3 & Journal of Business and Economic Statistics & 1061 & 638 & 60.13\%\\
4 & International Journal of Production Economics & 914 & 397 & 43.44\%\\
5 & Journal of the Operational Research Society & 860 & 369 & 42.91\%\\
6 & Omega & 413 & 205 & 49.64\%\\
7 & Journal of Behavioral Decision Making & 306 & 166 & 54.25\%\\
8 & Journal of the American Statistical Association & 301 & 183 & 60.80\%\\
9 & Oxford Bulletin of Economics and Statistics & 298 & 181 & 60.74\%\\
10 & Decision Support Systems & 289 & 149 & 51.56\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablet}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Energy}
\setlength{\tabcolsep}{2mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Energies & 967 & 332 & 34.33\%\\
2 & Energy Economics & 896 & 454 & 50.67\%\\
3 & Applied Energy & 886 & 209 & 23.59\%\\
4 & Renewable and Sustainable Energy Reviews & 839 & 183 & 21.81\%\\
5 & IEEE Transactions on Power Systems & 671 & 196 & 29.21\%\\
6 & Energy Conversion and Management & 474 & 92 & 19.41\%\\
7 & Renewable Energy & 374 & 83 & 22.19\%\\
8 & International Journal of Electrical Power and Energy Systems & 341 & 98 & 28.74\%\\
9 & Energy Policy & 336 & 128 & 38.10\%\\
10 & Energy & 311 & 71 & 22.83\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tableu}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Environmental Science}
\setlength{\tabcolsep}{6mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Energy & 472 & 286 & 60.59\%\\
2 & Applied Energy & 339 & 190 & 56.05\%\\
3 & Energy Policy & 196 & 128 & 65.31\%\\
4 & Journal of Hydrology & 147 & 72 & 48.98\%\\
5 & Sustainability & 146 & 107 & 73.29\%\\
6 & Environmental Modelling and Software & 103 & 58 & 56.31\%\\
7 & Journal of Cleaner Production & 63 & 45 & 71.43\%\\
8 & Water Resources Research & 57 & 33 & 57.89\%\\
9 & Journal of Hydrologic Engineering & 53 & 30 & 56.60\%\\
10 & Water Resources Management & 50 & 29 & 58.00\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablev}
{\begin{table}[!htbp]
\centering
\caption{Information about the IJF journal citation network in Earth and Planetary Sciences}
\setlength{\tabcolsep}{3.3mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Weather and Forecasting & 119 & 49 & 41.18\%\\
2 & Monthly Weather Review & 76 & 32 & 42.11\%\\
3 & Meteorological Applications & 65 & 22 & 33.85\%\\
4 & Quarterly Journal of the Royal Meteorological Society & 52 & 25 & 48.08\%\\
5 & Journal of Climate & 48 & 23 & 47.92\%\\
6 & International Journal of Climatology & 36 & 17 & 47.22\%\\
7 & Climate Dynamics & 35 & 14 & 40.00\%\\
8 & Bulletin of the American Meteorological Society & 34 & 12 & 35.29\%\\
9 & Hydrology and Earth System Sciences & 27 & 14 & 51.85\%\\
10 & Geographical Analysis & 26 & 25 & 96.15\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablew}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Computer Science}
\setlength{\tabcolsep}{5.1mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Expert Systems with Applications & 381 & 169 & 44.36\%\\
2 & Neurocomputing & 266 & 90 & 33.83\%\\
3 & European Journal of Operational Research & 208 & 136 & 65.38\%\\
4 & Computational Statistics and Data Analysis & 186 & 154 & 82.80\%\\
5 & Lecture Notes in Computer Science & 183 & 133 & 72.68\%\\
6 & Applied Soft Computing Journal & 169 & 58 & 34.32\%\\
7 & Computers and Operations Research & 161 & 51 & 31.68\%\\
8 & Decision Support Systems & 148 & 59 & 39.86\%\\
9 & Knowledge-based Systems & 111 & 50 & 45.05\%\\
10 & Computational Economics & 109 & 83 & 76.15\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablex}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Decision Science}
\setlength{\tabcolsep}{4.5mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Business and Economic Statistics & 759 & 563 & 74.18\%\\
2 & European Journal of Operational Research & 510 & 248 & 48.63\%\\
3 & Journal of the Operational Research Society & 284 & 146 & 51.41\%\\
4 & International Journal of Production Economics & 262 & 113 & 43.13\%\\
5 & Journal of Applied Statistics & 240 & 176 & 73.33\%\\
6 & Journal of the American Statistical Association & 238 & 140 & 58.82\%\\
7 & Oxford Bulletin of Economics and Statistics & 209 & 144 & 68.90\%\\
8 & Omega & 189 & 80 & 42.33\%\\
9 & Journal of Time Series Analysis & 157 & 107 & 68.15\%\\
10 & Decision Support Systems & 150 & 59 & 39.33\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tabley}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Engineering}
\setlength{\tabcolsep}{2mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Expert Systems with Applications & 210 & 168 & 80.00\%\\
2 & International Journal of Production Economics & 153 & 115 & 75.16\%\\
3 & Energy & 85 & 61 & 71.76\%\\
4 & IEEE Transactions on Power Systems & 56 & 37 & 66.07\%\\
5 & International Journal of Production Research & 46 & 26 & 56.52\%\\
6 & Applied Energy & 45 & 28 & 62.22\%\\
7 & Information Sciences & 37 & 26 & 70.27\%\\
8 & Risk Analysis & 28 & 23 & 82.14\%\\
9 & International Journal of Electrical Power and Energy Systems & 27 & 9 & 33.33\%\\
10 & Quality and Reliability Engineering International & 23 & 20 & 86.96\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablez}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Social Sciences}
\setlength{\tabcolsep}{4.3mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Business and Economic Statistics & 907 & 549 & 60.53\%\\
2 & Journal of Applied Econometrics & 482 & 232 & 48.13\%\\
3 & Empirical Economics & 403 & 230 & 57.07\%\\
4 & Tourism Management & 261 & 70 & 26.82\%\\
5 & Oxford Bulletin of Economics and Statistics & 259 & 142 & 54.83\%\\
6 & Tourism Economics & 216 & 51 & 23.61\%\\
7 & Annals of Tourism Research & 183 & 48 & 26.23\%\\
8 & Journal of Travel Research & 159 & 35 & 22.01\%\\
9 & Studies in Nonlinear Dynamics and econometrics & 158 & 98 & 62.03\%\\
10 & Review of Economics and Statistics & 128 & 69 & 53.91\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablezz}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Environmental Science}
\setlength{\tabcolsep}{2.8mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Journal of Hydrology & 189 & 56 & 29.63\%\\
2 & Water Resources Research & 175 & 53 & 30.29\%\\
3 & Hydrological Processes & 122 & 30 & 24.59\%\\
4 & Environmental Modelling and Software & 118 & 50 & 42.37\%\\
5 & Energy & 89 & 71 & 79.78\%\\
6 & Hydrology and Earth System Sciences & 60 & 19 & 31.67\%\\
7 & Stochastic Environmental Research and Risk Assessment & 57 & 20 & 35.09\%\\
8 & Energy Policy & 52 & 40 & 76.92\%\\
9 & Journal of Hydrologic Engineering & 44 & 16 & 36.36\%\\
10 & Hydrological Sciences Journal & 43 & 10 & 23.26\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablezzz}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Energy}
\setlength{\tabcolsep}{5.1mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & Energy Economics & 324 & 193 & 59.57\%\\
2 & IEEE Transactions on Power Systems & 99 & 37 & 37.37\%\\
3 & Energies & 87 & 30 & 34.48\%\\
4 & Energy Policy & 75 & 40 & 53.33\%\\
5 & Applied Energy & 65 & 28 & 43.08\%\\
6 & Energy & 63 & 19 & 30.16\%\\
7 & Renewable and Sustainable Energy Reviews & 63 & 19 & 30.16\%\\
8 & Energy Journal & 46 & 14 & 30.43\%\\
9 & Sustainability & 42 & 32 & 76.19\%\\
10 & Wind Energy & 39 & 15 & 38.46\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablezzzz}
{\begin{table}[!htbp]
\centering
\caption{Information about the JF journal citation network in Earth and Planetary Sciences}
\setlength{\tabcolsep}{3.4mm}{
\begin{tabular}{ccccc}
\hline
Rank & Journal & Links & Links with IJF & \%\\
\hline
1 & International Journal of Climatology & 198 & 37 & 18.69\%\\
2 & Journal of Climate & 177 & 27 & 15.25\%\\
3 & Climate Dynamics & 142 & 22 & 15.49\%\\
4 & Quarterly Journal of the Royal Meteorological Society & 118 & 15 & 12.71\%\\
5 & Geophysical Research Letters & 70 & 11 & 15.71\%\\
6 & Theoretical and Applied Climatology & 49 & 14 & 28.57\%\\
7 & Climatic Change & 37 & 26 & 70.27\%\\
8 & Journal of Geophysical Research Atmospheres & 28 & 11 & 39.29\%\\
9 & Journal of Applied Meteorology and Climatology & 27 & 8 & 29.63\%\\
10 & Monthly Weather Review & 27 & 7 & 25.93\%\\
\hline
\end{tabular}}
\end{table}}
\newcommand{\tablezzzzz}
{\begin{table}[!htbp]
\centering
\caption{Information about the papers with the strongest power in the burst detection}
\setlength{\tabcolsep}{1.5mm}{
\begin{tabular}{cccc}
\hline
References & Strength & Begin & End\\
\hline
MAKRIDAKIS S, 2000, International Journal of Forecasting, V16, P451-476 & 10.3456 & 2003 & 2008\\
TIMMERMANN A, 2006, Book & 9.4891 & 2009 & 2014\\
ARMSTRONG JS, 2001, Book & 7.7619 & 2002 & 2007\\
GIACOMINI R, 2006, Econometrica, V74, P1545-1578 & 7.4779 & 2008 & 2014\\
HYNDMAN RJ, 2006, International Journal of Forecasting, V22, P679-688 & 6.1442 & 2009 & 2014\\
HANSEN PR, 2011, Econometrica, V79, P291-311 & 6.1267 & 2016 & 2018\\
CLARK TE, 2007, Journal of Econometrics, V138, P291-311 & 6.0076 & 2013 & 2015\\
GIANNONE D, 2008, Journal of Monetary Economics, V55, P665-676 & 5.9896 & 2013 & 2016\\
HONG T, 2016, International Journal of Forecasting, V32, P896-913 & 5.7396 & 2016 & 2018\\
HYNDMAN RJ, 2002, International Journal of Forecasting, V18, V18, P439-454 & 5.7064 & 2006 & 2008\\
\hline
\end{tabular}}
\end{table}}
\begin{document}
\begin{frontmatter}
\title{International Journal of Forecasting 1985-2018: A retrospective based on
bibliometric and knowledge diffusion analysis}
\author[nau]{Dejian Yu}
\ead{yudejian62@126.com}
\author[monash]{Rob J Hyndman}
\ead{Rob.Hyndman@monash.edu}
\author[zufe]{Shunshun Shi\corref{c1}}
\ead{shishunshun1993@126.com}
\cortext[c1]{Corresponding Author}
\address[nau]{Business School, Nanjing Audit University, Nanjing 211815, China}
\address[monash]{Department of Econometrics \& Business Statistics, Clayton, VIC 3800,
Australia}
\address[zufe]{Information School, Zhejiang University of Finance and Economics,
Hangzhou 310016, China}
\begin{abstract}
As one of the leading journals in the forecasting field, International
Journal of Forecasting (IJF) has continually contributed to the field
over 30 years. In this study, a retrospective analysis is conducted to
evaluate the merits of IJF from 1985 to 2018 based on the raw data
harvested from Scopus. The retrospective analysis consists of two parts.
One is a bibliometric analysis of IJF based on a science mapping
technique which focuses on the level of paper, author and country. The
citation network, co-citation network, co-author network and country
collaboration network are mapped based on IJF's publications. Multiple
relationships between different scientific entities can be explored from
these networks. The other is a knowledge diffusion analysis based on the
forecasting papers and their citing papers. The discipline distribution
of citing papers can be obtained with the citation relationship between
forecasting papers and their citing papers. A deeper investigation about
the knowledge diffusion outside of the forecasting journals is conducted
for better elaborating the performance of IJF in knowledge diffusion
outside the forecasting field. These two kinds of analyses directly
depict a landscape about the development track of IJF based on the
endorsements it obtained and the knowledge it spread abroad.
\end{abstract}
\begin{keyword} Forecasting research, Bibliometrics, Science mapping, Knowledge
diffusion\end{keyword}
\end{frontmatter}
\newpage
\section{Introduction}\label{introduction}
\setlength{\parindent}{2em}International journal of forecasting (IJF),
one of the leading journals in the forecasting field, was issued by
International Institute of Forecasters (IIF) in 1985, and then continued
to contribute the forecasting field up to now. According to its website,
the main purpose of the journal is to ``make forecasting useful and
relevant for decision and policy makers'', and all kinds of forecasting
methods are welcomed by the journal for better bridging the gap between
theory and practice. Many of the IJF papers involved the topics in the
fields of business, economics, and management (BEM) for promoting the
forecasting research in these fields. An existing overview about the
forecasting journals which consist of IJF and Journal of Forecasting
(JF) was conducted based on citation analysis and expert opinion, and an
important part of the overview was elaborated under a background of BEM
applications (Fildes 2006). The overview was and remains a valuable
conclusion about the evaluation of the IJF and JF through examining how
they have met their initial objectives successfully, and the content of
the overview is informative. However, the bibliometric techniques which
are used by the overview are sort of simple and not effective enough.
The overview only used one bibliometric technique (i.e., citation
analysis) to analyze the data of IJF, which has left a wide space for
the performance of other bibliometric techniques. Many other overviews
are conducted for evaluating the merits of a certain journal based on
various bibliometric techniques, and a brief summary is provided as
below.
Merigó et al. (2015) conducted an overview of the Journal of Business
Research based on some basic bibliometric techniques, for example,
identifying citation structure, highly cited papers, the most prolific
authors, institutions, and countries. All of them were regarded as the
main factors that affect the performance of the journal, and measured by
the number of publications and citations. Calma and Davies (2016)
provided an overview of Academy of Management Journal using some similar
bibliometric techniques. According to the number of publications the
journal published and citations the journal received, the most prolific
author, countries, organizations, years and highly cited papers, authors
were obtained. Moreover, based on the data of journal papers and their
references, science mapping technique was used to construct the networks
of most prolific authors and most cited authors. Due to the advantage of
delineating relationships between scientific entities, science mapping
has become a frequently-used bibliometric technique for visualizing
different kinds of academic relationships. Wichaisri and Sopadang (2018)
used the data of Sustainable Development to extract the co-citation
relationship between the cited papers, and then determined four main
clusters from the co-citation relationships based on the science mapping
technique.
As stated above, many of the existing overviews have proven the
effectiveness of bibliometric techniques, especially the combination of
basic bibliometric indicators and the science mapping techniques. In our
previous work, this combination has been used in many bibliometric
studies. Our first try of the combination is the study to analyze the
development of Atanassov intuitionistic fuzzy set (Yu and Shi 2015).
Then, this research pattern was successfully applied in aggregation
operator research (Yu 2015). Moreover, an overview of Information
Science (INS) was conducted based on this research pattern to explore
the structures and trends of the INS publications (Yu et al. 2017).
Basically, the majority of the most important factors which affect the
performance of journal can be identified under this research pattern.
Further, some internal relationships between different kinds of
scientific entities can be recognized and expressed by science mapping
techniques. Highly cited paper, author, countries, and prolific author,
country are common factors that can affect the performance of the
journal. Co-citation relationship, co-author relationship, country
collaboration relationship are some common internal relationships
embedded in the journal. The status quo of journal can be elaborated by
these factors and relationships. Moreover, the development track of
journal can be delineated based on a dynamic bibliometric analysis.
However, under this research pattern, the researchis limited inside the
journal, which means the academic activities outside but related to the
journal are difficult to recognize. To settle this problem, the
knowledge diffusion analysis is a good choice.
In bibliometrics, knowledge flow can be constructed based on the citing
and cited behaviors which correspond to the knowledge integration and
knowledge diffusion (Shi et al. 2018), respectively. Knowledge
integration means the knowledge transfer from the cited papers to the
given papers, while knowledge diffusion is from the given papers to the
citing papers. In this study, the raw data of IJF is harvested from
Scopus. However, information about cited papers of IJF publications is
largely missing in Scopus. Therefore, the knowledge integration cannot
be conducted in this study, and we select the knowledge diffusion
analysis as the primary content.
Porter and Chubin (1985) first defined the proportion of citations
falling outside the category as a cross-discipline indicator to
delineate how the knowledge diffuses from the target category to the
outside categories. In Web of Science, the journals are classified based
on the predefined categories, while in Scopus, subject area is used to
replace the concept of category. Therefore, in this study, we use
subject area equaling to the concept of category in the knowledge
diffusion research. IJF and JF are two leading and authoritative
journals in the forecasting field, therefore, IJF papers and JF papers
are all included in the knowledge diffusion analysis. The raw data of
IJF papers, JF papers and their citing papers are harvested from Scopus.
The citation relationships between the IJF papers and their citing
papers are extracted to explore what subject areas are most interested
in the forecasting researches. The same work will be conducted between
JF papers and their citing papers. Then, a rough result about the
knowledge diffusion can be obtained at the level of subject area.
Moreover, top three citing subject areas are selected in a further
investigation and the journal citation relationships between IJF/JF and
their citing journals are extracted. Therefore, more detailed findings
can be obtained at the level of journal.
The remainder of this paper is organized as follows. Section 2 presents
a bibliometric analysis of IJF to identify the publication/citation
structure of IJF and the most contributing papers, authors and
countries. Section 3 offers a knowledge diffusion analysis of the
forecasting journals. Section 4 states some discussion and conclusion of
this study.
\section{Bibliometric analysis of
IJF}\label{bibliometric-analysis-of-ijf}
In this section, some frequently-used bibliometric techniques are
applied into analyzing the IJF papers. First, a basic statistics of IJF
papers is provided from the angle of output and citation. Some
interesting findings can be obtained through exploring the relationships
between the curves of annual output and annual citation. Then, paper,
author, and country are selected as the three factors influencing the
performance of the journal. The most cited, co-cited papers, the most
prolific authors, the most cited authors, the most prolific countries,
the most cited countries are all identified. Further, the citation,
co-citation relationships, the co-author relationship, and the country
collaboration relationship are depicted based on science mapping
techniques.
\subsection{Basic statistics of IJF}\label{basic-statistics-of-ijf}
Annual evolutions of papers and citations are depicted in Fig. 1, and
the detailed data is stated in the table 1. The Panel A of Fig 1
provides a view of the overall trend to analyze the dynamic of papers
and citations. Observing from the paper curve, there is a decrease of
the yearly output from 1996 to 2001, but, by the large, the yearly
output increased over time. The most prolific year is 2016 with 105
papers, and the least productive year is the initial year with 27
papers. As for the annual evolution of citations, the situation is
similar to that of paper. By the large, the number of citations