How we compute rankings
Transparent, reproducible, and refreshed weekly — powered by public scholarly data.
OpenAlex2015 → todayWeekly refresh All‑time & 24m
Ethiopia‑affiliated research growth (illustrative)
*For visual context only. Actual analytics and rankings are computed from your live database.
Methodology, in plain language
Short, verifiable statements about how ERI builds rankings and analytics.
Data source: OpenAlex
We use the open scholarly index OpenAlex as our source of truth.
Coverage: 2015 → today
The corpus spans 2015 to the present and is refreshed weekly.
Scope: Ethiopia‑affiliated
We include papers with ≥1 author who lists an Ethiopian institutional affiliation.
Unique counts
Papers, authors, institutions are counted once each—no duplicates.
Citations
Citations are the current OpenAlex ‘cited‑by’ totals summed within each view/window.
Author credit
An author’s totals only include papers where they list an ET affiliation.
Institution shown for authors
We display the author’s most common (or latest) Ethiopian institution.
Time windows
We support All‑time and a rolling Last 24 months (24m) perspective.
Foreign collaborators
Non‑ET and unknown‑country affiliations are included for collaboration stats.
Curation & caveats
Affiliation metadata can be messy; we apply curated fixes when necessary.
Transparent math Reproducible views Weekly refresh Public data (OpenAlex)
What do the charts on ERI reflect?
All‑time vs 24m
All‑time shows the complete record since 2015. The 24‑month view highlights recent momentum by limiting counts to the last two years.
Raw vs Fractional credit
Where relevant, team outputs can be displayed as raw totals or shared fractionally to fairly represent large collaborations.
Collaboration lens
We surface local (ET‑ET) and international (ET‑non‑ET) collaboration signals using co‑authorship affiliations.