Semantic Scholar

• Search papersSearch Semantic Scholar's 200-million-paper corpus by relevance and filter the results by year, publication date, venue, field of study, publication type, citation count, or open-access availability. This is the everyday search: it ranks by how well a paper matches the words you typed. Paging stops at 1,000 results; use 'Fetch papers in bulk' to pull an entire filtered set.
• Fetch papers in bulkPull an entire filtered set of papers, 1,000 at a time. Unlike relevance search this ranks nothing; it returns everything that matches, in the order you sort by, with a continuation token to fetch the next batch. The text query is optional and understands boolean operators: '+' for AND, '|' for OR, '-' to exclude, quotes for a phrase, '*' for a prefix and '~N' for fuzziness. Give it at least a query or one filter.
• Find paper by titleFind the one paper whose title is closest to a phrase. Use it to turn a citation, a reading-list line or a half-remembered title into a real paper record. When nothing matches you get 'matched: false' rather than an error, so a reference-checking workflow can branch on it.
• Suggest paper titlesSuggest paper titles for a partial query: the type-ahead behind Semantic Scholar's own search box. Each suggestion is an ID, a title and an 'authors, year' line, which is enough to show someone a list and then look up whichever one they pick.
• Get paperGet everything Semantic Scholar knows about one paper: abstract, authors, venue, citation counts, the open-access PDF link, a ready-made BibTeX entry, and the AI-written one-sentence TLDR. Takes a Semantic Scholar URL or ID, a DOI, an arXiv ID, or a PubMed ID.
• Get many papersLook up as many as 500 papers in a single request: the right way to enrich a reading list, a bibliography, or a column of DOIs from a spreadsheet. IDs that don't resolve come back listed under 'not_found' instead of leaving gaps in the results.
• Get a paper's authorsList the authors of a paper with their full profiles: affiliation, homepage, how many papers they have published, how often they are cited and their h-index. More than the names you get from the paper record itself.
• Get papers citing this oneList the papers that cite a given paper, newest work included, along with why they cite it: the sentences the citation appears in, what it was cited for (background, method, or result), and whether Semantic Scholar judged it an influential citation. Use it to track who is building on a piece of work.
• Get a paper's referencesList the papers a given paper cites (its bibliography, resolved to real paper records), with the sentences each one was cited in and what it was cited for. Use it to walk backwards through the literature from a paper you already have.
• Search authorsFind author profiles by name. Names are not unique and one researcher can have more than one profile, so the paper and citation counts that come back are how you tell which profile is the one you want before looking up their work.
• Get authorGet one author's profile: name, affiliations, homepage, how many papers they have published, how often they are cited, and their h-index.
• Get many authorsLook up as many as 500 author profiles in a single request: for a lab roster, a programme committee, or the author list of a paper you already fetched. IDs that don't resolve come back listed under 'not_found'.
• Get an author's papersList everything an author has published, optionally narrowed to a publication-date window. Use it to build a publication list, or to watch a researcher for new work.
• Recommend papers like this oneGiven one paper, recommend related ones. Pick the recent pool to see what has come out lately across every field, or the computer science pool to search all of CS regardless of date.
• Recommend papers from a reading listRecommend papers from examples: a list of papers to find more like, and optionally a list to steer away from. Feed it the papers a team has saved and it becomes a running literature feed.
• List dataset releasesList every published snapshot of the Semantic Scholar corpus. A release is a full weekly dump of the whole graph, named by its date; the newest one is what 'latest' refers to in the other dataset actions.
• List datasets in a releaseList the datasets in one corpus snapshot (papers, abstracts, authors, citations, embeddings, TLDRs, the S2ORC full text), each with the record count and file size it holds, plus the release's licence terms. Use it to see what the bulk corpus contains and how big a download it would be.

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