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Semantic Scholar

Connects academic research data to your workflows, automating literature reviews and mapping citation networks in real time.

Try Semantic Scholar in Ceven

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Why use Ceven?

  1. AI native Semantic Scholar integration

    • Describe the outcome and Ceven picks the right Semantic Scholar calls, fills the parameters, and checks the result.
    • Structured, agent friendly tool schemas so each call runs reliably instead of by guesswork.
    • Rich coverage for reading, writing, and querying your Semantic Scholar data, across all 21 of its actions.

  2. Managed auth

    • Built in OAuth with automatic token refresh and rotation.
    • One place to manage, scope, and revoke Semantic Scholar access.
    • Per user and per environment credentials instead of shared keys.

  3. Agent optimized design

    • Actions are tuned from real success and error rates so reliability climbs over time.
    • Full execution logs so you always know what ran in Semantic Scholar, when, and on whose behalf.
    • The agent pauses and asks when Semantic Scholar is unclear instead of plowing ahead.

  4. Enterprise grade security

    • Fine grained access so you control which agents and people can reach Semantic Scholar.
    • Least privilege by default, read scopes first and only the writes a workflow needs.
    • A full audit trail of every Semantic Scholar action to support review and sign off.

Supported tools

Every action Ceven's agents can run on Semantic Scholar, and when to use it.

Get author details
Pull the name and unique ID for a specific researcher.
List author papers
Pull all papers authored by a specific researcher using their author ID.
Get paper details
Retrieve the title and ID for a specific academic paper.
List paper authors
Pull the full list of contributors for a specific paper ID.
List paper citations
Pull every paper that has cited a specific paper to measure impact.
List paper references
Pull the bibliography of a specific paper to trace its sources.
Batch get authors
Pull detailed information for multiple authors in one request.
Batch get papers
Pull metadata for a list of multiple papers in one request.
Bulk paper search
Retrieve basic paper data in bulk using boolean logic without relevance ranking.
Relevance paper search
Search for papers based on a query with AI relevance ranking.
Title paper search
Find a single paper by searching for the closest title match.
Search authors
Find researchers by name or other identifying information.
Suggest query completions
Get autocomplete suggestions for a partial paper query.
Search text snippets
Find 500 word excerpts from titles, abstracts, and bodies that match a query.
Details about an author
Examples: <ul> <li><code>https://api.semanticscholar.org/graph/v1/author/1741101</code></li> <ul> <li>returns the author's authorid and name.</li> </ul> <li><code>https://api.semanticscholar.org/graph/v1/author/1741101?fields=url,papers</co
Details about an author s papers
Retrieves a list of papers 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 re
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
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 is useful when you need detailed information about the contributors to a particular academic publication. i
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 with
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 understand
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 us
Get details for multiple papers at once
The semanticscholar paper batch endpoint allows users to retrieve data for multiple academic papers in a single api call. this endpoint is particularly useful when you need to fetch information for a batch of papers efficiently, reducing th
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 filte
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
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=constru
Search for authors by name
The authorsearch endpoint allows users to search for authors within the semantic scholar database. it provides a way to find academic authors based on their names or other identifying information. this endpoint is particularly useful when y
Suggest paper query completions
To support interactive query completion, return minimal information about papers matching a partial query example: <code>https://api.semanticscholar.org/graph/v1/paper/autocomplete?query=semanti</code>
Text snippet search
Return the text snippets that most closely match the query. text snippets are excerpts of approximately 500 words, drawn from a paper's title, abstract, and body text, but excluding figure captions and the bibliography. it will return the h

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Frequently asked questions

Ceven uses the batch endpoints of Semantic Scholar to avoid making hundreds of individual requests. When you ask for a comprehensive review, the agent first performs a relevance search to find the core set of papers. It then uses the batch get papers action to pull metadata for the top results in groups. This allows the agent to build a large dataset of abstracts and authors without hitting API limits too quickly. The agent then processes these in parallel to extract themes, which means you get a synthesized report of hundreds of papers in a fraction of the time it takes to read them manually.
No. Semantic Scholar provides metadata, abstracts, and in some cases links to the full text, but it does not host every full PDF. Ceven can pull the open access links provided by the API. If a paper is behind a paywall, the agent will retrieve the abstract and the citation data but cannot bypass publisher logins. This is a limitation of the underlying data source. The agent will clearly mark which papers have available full text and which ones only provide an abstract, allowing you to use your own institutional access to find the full document.
Relevance search uses AI to rank papers based on how well they match the intent of your query, which is best for discovery. Bulk search is designed for high volume retrieval where the ranking does not matter, such as when you are pulling every paper that mentions a specific keyword. Ceven chooses the method based on your prompt. If you ask for the best papers on a topic, it uses relevance. If you ask for a list of every paper mentioning a specific gene, it switches to bulk search to ensure no relevant records are missed.
The agent uses a recursive lookup process. It starts with a seed author and pulls their list of papers. For each paper, it retrieves the full list of co authors. By repeating this process across a set of papers, Ceven builds a co authorship graph. This allows the agent to identify key collaborators and the central figures in a specific research niche. You can ask the agent to find the most influential person in a field, and it will calculate this by analyzing the density of these connections and the number of citations associated with each author.
Yes. Semantic Scholar enforces strict rate limits on its API, and these limits vary depending on whether you are using a public key or a partner key. For most users, the API limits the number of requests per second and per day. If a workflow is too aggressive, the API will return a 429 error. Ceven handles this by implementing an automatic retry logic with exponential backoff. This means the agent will pause and wait before trying the request again, ensuring the workflow completes without crashing, though very large requests may take longer to process.
Ceven can simulate real time tracking by running scheduled workflows. Since Semantic Scholar does not provide a push notification for every new paper, the agent can be set to run a search query every morning. It compares the results against a list of papers it has already seen and notifies you only of the new additions. This is ideal for staying current on a specific topic. You can define the search terms and the frequency, and the agent will deliver a daily digest of new literature directly to your email or Slack channel.
The text snippet search pulls excerpts of about 500 words from the title, abstract, and body text. These are highly accurate for finding specific mentions of terms or phrases. However, because these are snippets and not full documents, they may lack the full context of the argument being made. Ceven uses these snippets to quickly qualify if a paper is worth a deeper look. The agent will present the snippet as a preview, and if the content looks relevant, it can then attempt to pull the full abstract or the open access PDF for a complete analysis.
While there is no direct university filter in the basic search, Ceven achieves this by searching for authors known to be affiliated with that institution. The agent first pulls a list of authors associated with the university and then retrieves all papers linked to those author IDs. This multi step process allows you to effectively filter the global library of papers by institution. You can ask the agent to find all recent work on quantum computing coming out of Stanford, and it will execute this author based filtering automatically.

Alternatives to Semantic Scholar

Other tools that solve a similar problem. Ceven supports these too, so you can switch or run more than one at once.

Google Scholar logoGoogle ScholarWeb of Science logoWeb of ScienceScopus logoScopusPubMed logoPubMed

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