Type a topic or paste a title and abstract. We find the RA-L papers closest in meaning, then count which institutions and countries wrote them.
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Most cited papers
Every RA-L paper ranked by citations (OpenAlex counts, snapshot ). Narrow it down by year, institution or research area.
Search by author
Every RA-L author, with their papers, research areas and co-authors.
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Most papers in RA-L
Authors ranked by RA-L papers (early access included). Click a name for their papers.
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Author
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Papers
How this was made
data, method and caveats
Papers are every research article Crossref lists for IEEE Robotics and Automation Letters (ISSN 2377-3766), from volume 1 (2016) to today, including early-access articles not yet in an issue (snapshot ). Journal front matter, editorials and errata are left out. The year is the volume year (volume 1 = 2016); early-access papers use their online date.
Abstracts, institutions, author identities and keywords come from OpenAlex, which links each author's printed affiliation to a registered institution (ROR) with its country and type. Authors with an affiliation OpenAlex could not link are matched by institution name where possible; the rest are not counted for any institution.
Counting: a paper counts once for every institution with at least one author on it, so shares add up to more than 100%. The fractional count splits each paper equally across its authors, then across each author's institutions.
Research areas use the IEEE RAS keywords that authors pick for RA-L, ICRA and IROS. All 305 keywords in the ICRA 2026 program are grouped by hand into 16 broad areas, following the themes of the IROS 2026 sessions (IROS 2026 publishes no per-paper keywords). Each of the 2,700+ ICRA 2026 papers gets the area its own keywords point to most (first keyword weighted highest). An RA-L paper then gets the area most common among the 15 ICRA 2026 papers closest to it in meaning (title and abstract). Per-paper RA-L keywords are not public, so areas are an estimate; the keywords shown under each paper are OpenAlex's.
Topic search runs entirely in your browser: your text is embedded with bge-small-en-v1.5 (downloaded once, about 33 MB) and compared with every paper's title and abstract. Nothing you type is sent anywhere. If the model can't load, the page falls back to keyword matching on titles.
arXiv and code links ( papers on arXiv, with code) were found automatically: from OpenAlex, and by matching titles against every arXiv paper in cs.RO or mentioning RA-L (near-identical title plus at least one shared author surname). Code links are GitHub or GitLab URLs in the paper's abstract or its arXiv abstract and comments.
Industry vs academia: institutions OpenAlex types as companies are industry; universities, government labs, hospitals, nonprofits and research facilities are academia.
Authors are grouped by OpenAlex author ID. Two IDs with the same name and a shared institution are treated as one person. Download the institution table (CSV).