Scimago Impact Factors for all Journals in all fields since 1999
What is this?
To ease the use of measures of Journal Quality in my research, I have compiled a panel dataset using the yearly Scimago Journal Impact Factors. These data originate from https://www.scimagojr.com/journalrank.php and date back to 1999. In June 2018 I made the data public so that everyone can use them freely and conveniently via internet.
How do I use this?
In folder compiled/ you find the file you are looking for: A long list of Journals with their yearly SJR (Scimago Journal Rank), the h-index and avgerage citations. All of them are measured using articles from the previous three years. The file is a simple csv file.
Usage in your scripts is easy:
- In python (using pandas):
import pandas as pd url = 'https://raw.githubusercontent.com/Michael-E-Rose/ScimagoJournalImpactFactors/master/compiled/Scimago_JIFs.csv' df = pd.read_csv(url)
- In R:
url = 'https://raw.githubusercontent.com/Michael-E-Rose/ScimagoJournalImpactFactors/master/compiled/Scimago_JIFs.csv' df <- read.csv(url)
- In Stata:
insheet using "https://raw.githubusercontent.com/Michael-E-Rose/ScimagoJournalImpactFactors/master/compiled/Scimago_JIFs.csv"
What's the benefit?
- Central and continuously updated online storage for seamless inclusion in local scripts.
- Longitudinal collection of the quality measures according to their three different methods.