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SCImagoJournalRankIndicators

SCImago Journal Rank Indicators 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 http.

How do I use this?

In this folder 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/SCImagoJournalRankIndicators/master/all.csv'
df = pd.read_csv(url)
  • In R:
url = 'https://raw.githubusercontent.com/Michael-E-Rose/SCImagoJournalRankIndicators/master/all.csv'
df <- read.csv(url)
  • In Stata:
insheet using "https://raw.githubusercontent.com/Michael-E-Rose/SCImagoJournalRankIndicators/master/all.csv"

Note

Journals will be listed multiple times when they belong to multiple ASJC fields. But their metrics are the same, so you can safely drop Sourceid-year duplicates.

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.