https://github.com/michael-e-rose/scimagojournalrankindicators
Scimago Impact Factors for all Scopus journals since 1999
https://github.com/michael-e-rose/scimagojournalrankindicators
journal journals measure measures scimago-impact-factors
Last synced: 11 months ago
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Scimago Impact Factors for all Scopus journals since 1999
- Host: GitHub
- URL: https://github.com/michael-e-rose/scimagojournalrankindicators
- Owner: Michael-E-Rose
- License: mit
- Created: 2018-06-04T13:38:46.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2024-02-18T12:04:55.000Z (over 2 years ago)
- Last Synced: 2025-06-05T12:08:01.174Z (about 1 year ago)
- Topics: journal, journals, measure, measures, scimago-impact-factors
- Language: Python
- Homepage:
- Size: 459 MB
- Stars: 18
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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):
```python
import pandas as pd
url = 'https://raw.githubusercontent.com/Michael-E-Rose/SCImagoJournalRankIndicators/master/all.csv'
df = pd.read_csv(url)
```
* In *R*:
```R
url = 'https://raw.githubusercontent.com/Michael-E-Rose/SCImagoJournalRankIndicators/master/all.csv'
df <- read.csv(url)
```
* In *Stata*:
```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.