# Semantic Scholar

Semantic Scholar is an AI-powered academic search engine that helps researchers discover and understand scientific literature

- **Category:** artificial intelligence
- **Auth:** API_KEY
- **Tools:** 14
- **Triggers:** 0
- **Slug:** `SEMANTICSCHOLAR`
- **Version:** 20260211_00

## Tools

### Details about an author

**Slug:** `SEMANTICSCHOLAR_DETAILS_ABOUT_AN_AUTHOR`

Retrieve detailed information about an author from Semantic Scholar, including name, affiliations, publication statistics (paperCount, citationCount, h-index), external IDs (ORCID, DBLP), and optionally papers. By default returns authorId and name only. Use 'fields' parameter for additional data: name, url, affiliations, homepage, externalIds, paperCount, citationCount, hIndex, papers (supports nested fields like papers.title, papers.year). Limit: 10 MB per request.

### Details about an author s papers

**Slug:** `SEMANTICSCHOLAR_DETAILS_ABOUT_AN_AUTHOR_S_PAPERS`

Retrieves a list of papers authored or co-authored by a specific researcher identified by their unique Semantic Scholar author ID. This endpoint is particularly useful for conducting literature reviews, analyzing an author's body of work, or tracking a researcher's publications over time. It provides a comprehensive view of an author's contributions to their field of study, including all papers where the author is listed as an author regardless of their authorship position. The response may be paginated for authors with a large number of publications, and additional API calls might be necessary to retrieve the complete list of papers. Use the offset and limit parameters to control pagination.

### Details about a paper

**Slug:** `SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER`

Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b</code></li> <ul> <li>Returns a paper with its paperId and title. </li> </ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b?fields=url,year,authors</code></li> <ul> <li>Returns the paper's paperId, url, year, and list of authors. </li> <li>Each author has authorId and name.</li> </ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b?fields=citations.authors</code></li> <ul> <li>Returns the paper's paperId and list of citations. </li> <li>Each citation has its paperId plus its list of authors.</li> <li>Each author has their 2 always included fields of authorId and name.</li> </ul> <br> Limitations: <ul> <li>Can only return up to 10 MB of data at a time.</li> </ul> </ul>

### Details about a paper s authors

**Slug:** `SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER_S_AUTHORS`

Retrieves the list of authors for a specific paper identified by its unique paper_id in the Semantic Scholar database. This endpoint returns detailed author information including authorId and name (returned by default), and optionally: url, affiliations, homepage, paperCount, citationCount, hIndex, and papers (with subfields). Use the 'fields' parameter to request additional author fields beyond the defaults. The response is paginated and includes offset/limit parameters for retrieving large author lists. This tool is ideal for exploring paper collaborations, identifying author affiliations, or building author networks. It accepts various paper ID formats including Semantic Scholar IDs, DOI, ARXIV, PMID, and others.

### Details about a paper s citations

**Slug:** `SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER_S_CITATIONS`

Retrieves a list of citations for a specific academic paper using its unique Semantic Scholar paper ID. This endpoint is useful for researchers and developers who want to explore the impact and connections of a particular academic work within the broader scientific literature. It provides information about other papers that have cited the specified paper, allowing users to trace the influence of research and discover related works. The endpoint should be used when analyzing the reception and impact of a specific paper, building citation networks, or conducting bibliometric studies. It does not provide the full text of citing papers or detailed information about the citations beyond basic metadata.

### Details about a paper s references

**Slug:** `SEMANTICSCHOLAR_DETAILS_ABOUT_A_PAPER_S_REFERENCES`

Retrieves the list of references cited by a specific paper in the Semantic Scholar database. This endpoint allows users to explore the scholarly context of a publication by accessing its bibliography. It's particularly useful for understanding the foundation of a paper's research, tracing the development of ideas, or conducting literature reviews. The tool returns details about the cited papers, which may include their titles, authors, publication dates, and Semantic Scholar IDs. It should be used when analyzing a paper's sources or investigating the connections between different academic works. Note that this endpoint only provides outgoing references (papers cited by the specified paper) and not incoming citations (papers that cite the specified paper).

### Get details for multiple authors at once

**Slug:** `SEMANTICSCHOLAR_GET_DETAILS_FOR_MULTIPLE_AUTHORS_AT_ONCE`

Retrieves detailed information for multiple authors from Semantic Scholar in a single API call. This endpoint allows users to efficiently fetch data for a batch of authors by providing their unique Semantic Scholar IDs. It's particularly useful for applications that need to gather information on multiple authors simultaneously, reducing the number of individual API calls required. The endpoint accepts a list of author IDs and returns comprehensive details for each author, which may include their publications, citations, and other relevant academic information. While the exact response structure is not specified in the given schema, users can expect rich metadata about the requested authors.

### Get details for multiple papers at once

**Slug:** `SEMANTICSCHOLAR_GET_DETAILS_FOR_MULTIPLE_PAPERS_AT_ONCE`

Retrieve detailed information for multiple academic papers in a single API call using the Semantic Scholar paper batch endpoint. This endpoint efficiently fetches data for up to 500 papers at once, significantly reducing the number of individual API requests needed. Key features: - Accepts multiple paper ID formats (Semantic Scholar ID, CorpusId, DOI, ArXiv, PMID, etc.) - Customizable field selection to retrieve only needed data - Papers not found return null in the corresponding array position - Results maintain the same order as input IDs - Supports nested field queries (e.g., authors.name, citations.title) Use this endpoint when you have a list of known paper IDs and want to retrieve their details simultaneously, rather than making individual requests for each paper.

### Paper bulk search

**Slug:** `SEMANTICSCHOLAR_PAPER_BULK_SEARCH`

Behaves similarly to <code>/paper/search</code>, but is intended for bulk retrieval of basic paper data without search relevance: <ul> <li>Text query is optional and supports boolean logic for document matching.</li> <li>Papers can be filtered using various criteria.</li> <li>Up to 1,000 papers will be returned in each call.</li> <li>If there are more matching papers, a continuation "token" will be present.</li> <li>The query can be repeated with the token param added to efficiently continue fetching matching papers.</li> </ul> <br> Returns a structure with an estimated total matches, batch of matching papers, and a continuation token if more results are available. <br> Limitations: <ul> <li>Nested paper data, such as citations, references, etc, is not available via this method.</li> <li>Up to 10,000,000 papers can be fetched via this method. For larger needs, please use the <a href="datasets/">Datasets API</a> to retrieve full copies of the corpus.</li> </ul>

### Paper relevance search

**Slug:** `SEMANTICSCHOLAR_PAPER_RELEVANCE_SEARCH`

The SearchPapers endpoint allows users to search for academic papers within the Semantic Scholar database. It provides a powerful way to discover relevant scientific literature based on user-defined search criteria. This endpoint should be used when researchers, students, or developers need to find papers related to specific topics, authors, or time periods. The search functionality supports various query parameters to refine and customize the search results, making it suitable for both broad exploratory searches and targeted inquiries. However, users should be aware that the search is limited to papers indexed by Semantic Scholar, and very recent publications might not be immediately available. The endpoint returns a list of papers matching the search criteria, along with selected metadata fields, facilitating efficient literature review and analysis.

### Paper title search

**Slug:** `SEMANTICSCHOLAR_PAPER_TITLE_SEARCH`

Behaves similarly to <code>/paper/search</code>, but is intended for retrieval of a single paper based on closest title match to given query. Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/search/match?query=Construction of the Literature Graph in Semantic Scholar</code></li> <ul> <li>Returns a single paper that is the closest title match.</li> <li>Each paper has its paperId, title, and matchScore as well as any other requested fields.</li> </ul> <li><code>https://api.semanticscholar.org/graph/v1/paper/search/match?query=totalGarbageNonsense</code></li> <ul> <li>Returns with a 404 error and a "Title match not found" message.</li> </ul> </ul> <br> Limitations: <ul> <li>Will only return the single highest match result.</li> </ul> </ul>

### Search for authors by name

**Slug:** `SEMANTICSCHOLAR_SEARCH_FOR_AUTHORS_BY_NAME`

Search for academic authors in the Semantic Scholar database by name. This action searches for authors using plain-text name queries. The search is case-insensitive and supports partial name matches (e.g., "Smith" will match "John Smith", "Adam Smith", etc.). Use cases: - Find authors by their name to get their author ID - Discover authors in a specific research area by searching common names - Retrieve author metadata including publications, affiliations, citation counts, and h-index - Build author directories or research networks The response includes pagination metadata (total, offset, next) to help retrieve large result sets. Use the 'fields' parameter to customize which author attributes are returned, and use 'offset' and 'limit' for pagination through result sets larger than 1000 authors. Note: Results are paginated with a maximum of 1000 results per request. Use the 'next' field in the response to determine the offset for the next page.

### Suggest paper query completions

**Slug:** `SEMANTICSCHOLAR_SUGGEST_PAPER_QUERY_COMPLETIONS`

Get autocomplete suggestions for paper queries. Returns a list of papers matching the partial query string, useful for interactive search experiences. Each suggestion includes the paper ID, title, and authors with publication year. Example: For query "machine learning", returns papers like "Machine learning - a probabilistic perspective" by Murphy, 2012.

### Text snippet search

**Slug:** `SEMANTICSCHOLAR_TEXT_SNIPPET_SEARCH`

Search for text snippets (~500 words) within academic papers that match your natural language query. Returns relevant excerpts from papers' titles, abstracts, and body text, ranked by relevance score. Each result includes: snippet text, location in paper, citation references, and paper metadata (title, authors, corpus ID). Supports filtering by authors, publication date, venue, field of study, citation count, and specific paper IDs. Results sorted by relevance (highest score first). Use limit=10 (default, max 1000) to control result count.
