What Semantic Scholar shows — and doesn't
Semantic Scholar exposes a lot of structured paper-level signal: highly-influential-citations, TLDR summaries, citation context. What it deliberately doesn't expose is journal-level prestige — there's no quartile, no FT50 marker, no CORE rank.
For literature reviewers and grant writers who need to balance "most-influential" against "most-prestigious-venue", that's a missing axis. The extension adds it without changing how the site looks otherwise.
How the Semantic Scholar integration works
On semanticscholar.org result pages, every entry exposes a paper-level identifier (S2 paper ID) and, for most papers, the underlying DOI or arXiv ID. The extension picks up whichever is available and queries our API.
When the venue resolves to a journal, you get an SJR / ABDC / FT50 badge. When it resolves to a CS conference, you get the CORE rank. When it's an unranked preprint, the badge area stays empty.
Which rankings show up
- SJR quartile — for journal articles, across disciplines.
- ABDC and FT50 — for business and management venues.
- CORE A* / A / B / C — for CS conference papers, which Semantic Scholar indexes heavily.
- OpenAlex citation impact — percentile-banded fallback for everything else.
Pairs naturally with Semantic Scholar's own signals
Semantic Scholar already shows you which papers in a result list are highly cited; the extension adds which journals those papers appeared in are highly ranked. The two signals are complementary — a highly-influential paper in a Q1 journal is a different artifact than a highly-influential preprint or an unranked-venue paper.
Works elsewhere too
The same data shows on Google Scholar, PubMed and arXiv.