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Semantic Scholar API
Providing a reliable source of scholarly data for developers
Build projects that accelerate scientific progress with the Semantic Scholar API
View Core Use Cases
Driven by State-of-the-Art AI Research
We provide the RESTful Semantic Scholar API as a service to the global research community. The API is a reliable on-demand source of data about authors, papers, citations, venues, and more that allows you to link directly to the corresponding page on semanticscholar.org for more information.
Driven by state-of-the-art AI models developed by our Research team, the Semantic Scholar API powers applications that enable scientific discovery. Currently the API supports Paper and Author Lookup, Conflict of Interest detection, Conference Reviewer Match, SPECTER embeddings, and SUPP.AI annotations. We are actively developing new features based on user demand.
Paper and author lookup are available from our Literature Graph service, whose reference documentation is available here. Documentation for our Conference Peer Review service is available here.
Semantic Scholar providing infrastructure for the research ecosystem is exciting as it enables partners like Litmaps to focus on creating great experiences for end users. We found the Semantic Scholar API and bulk data, clear and straightforward to use. The documentation, examples, and easy access to the raw data allowed us to move quickly on data integration, and get back to solving problems for our users.

Axton Pitt
Co-founder and CTO, Litmaps

Eddie Smolyansky
Co-founder, Connected Papers
Since day 1 Connected Papers has been built on top of the Semantic Scholar Open Corpus and APIs, and heavily relies on them to provide paper discovery and search capabilities to our users. The APIs are well maintained, frequently updated, fast, and easy to use. The team is extremely responsive and has supported our growth every step of the way from open beta to a million users. This massive resource given to the public for free is a great driver for innovation in science and we are proud to be a part of the next layer of tools being built on top of it.
We are a startup that tracks the evolution and progress of AI research. Thanks to the Semantic Scholar API pulling in the latest references to papers from top AI conferences has been a really simple task. Otherwise, it would have taken much more time and effort.

Eduardo Antonio Espinosa Grimaldo
Founder, Stateoftheart AI
Access Our Continually Updating Corpus
195 Million
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2.2 Billion
Citations
74 Million
Authors
Core Use Cases
The “Academic Literature Graph” is a way of representing the world’s scientific publications.
Scientific papers and their authors are connected by citations of one paper by another. Our new service allows you to find and explore these relations. It is available at https://api.semanticscholar.org/graph/v1​.
Authentication
You can use the Semantic Scholar API endpoint up to 100 requests per 5 minutes to test your application idea. To access a higher rate limit, complete the form to request authentication for your project. Authenticated partners have access to higher rate limits, personalized support, and co-marketing opportunities.
Note for Current Users
Current API users may have noticed that some paper requests would error out if the paper data was too large. The new service avoids this problem by, first, allowing you to specify exactly the data you’re interested in and, second, allowing you to paginate through large result sets, such as papers with many citations.
Searching For Papers By Keyword
The /paper/search endpoint will perform a keyword search for papers using our custom-trained ranker.
http://api.semanticscholar.org/graph/v1/paper/search?query=literature+graph
This will return the top 10 matching papers, with their titles. We can request more results, and additional information with:
http://api.semanticscholar.org/graph/v1/paper/search?query=literature+graph&offset=10&limit=50&fields=title,authors
Which will return the following 50 matching papers, with both titles and authors.
Paper Lookup
We can fetch detailed and targeted information about an individual paper with the /paper endpoint.
https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b?fields=title,embedding
Will return the paper’s title and its SPECTER embedding.
https://api.semanticscholar.org/graph/v1/paper/649def34f8be52c8b66281af98ae884c09aef38b?fields=title,citations.authors
Will return the names of all authors who have cited this paper
Accessible Paper Identifiers and Examples
S2 Paper ID https://api.semanticscholar.org/v1/paper/0796f6cd7f0403a854d67d525e9b32af3b277331
DOI https://api.semanticscholar.org/v1/paper/10.1038/nrn3241
ArXiv ID https://api.semanticscholar.org/v1/paper/arXiv:1705.10311
MAG ID https://api.semanticscholar.org/v1/paper/MAG:112218234
ACL ID https://api.semanticscholar.org/v1/paper/ACL:W12-3903
PubMed ID https://api.semanticscholar.org/v1/paper/PMID:19872477
Corpus ID https://api.semanticscholar.org/v1/paper/CorpusID:37220927
Note: The graph/v1/paper endpoint replaces the existing /v1/paper endpoint, which remains in service but will be deprecated during 2022
Full Paper Documentation
Author Lookup
We can fetch detailed and targeted information about an individual paper with the /author endpoint.
https://api.semanticscholar.org/graph/v1/author/145612610?fields=papers.authors
Will return the authors of all papers written by this author.
Note: The graph/v1/author endpoint replaces the existing /v1/author endpoint, which remains in service but will be deprecated during 2022
Full Author Documentation
Traversing the Literature Graph
Using the above endpoints, it would take many API calls to find, for example, all papers cited by an author. But the new service can return this information in a single call, with:
https://api.semanticscholar.org/graph/v1/author/145612610/papers?fields=references
which will paginate through an author’s papers, returning the list of references for each one. The above link will show the title of each reference, while:
https://api.semanticscholar.org/graph/v1/author/145612610/papers?fields=references.title,references.authors
will give the title and author list of each reference. Similarly,
https://api.semanticscholar.org/graph/v1/paper/dac91333674c45b4ab5f3b27c6d2aa6fae8ac229/authors?fields=name,papers.title
Will paginate through the authors of a paper, returning each author’s list of published papers 

You can also paginate through a paper’s citations and references, returning detailed information about the citing/cited papers.
https://api.semanticscholar.org/graph/v1/paper/cb13b1b6a37e4080d8c13c5f33694b5aae90abcf/citations?fields=title,authors
https://api.semanticscholar.org/graph/v1/paper/cb13b1b6a37e4080d8c13c5f33694b5aae90abcf/references?fields=title,authors
These calls will return the title and author list of all papers that cite (or are cited by) the paper with the given ID.
Full Literature Graph Documentation
Peer Reviews
We offer a service to aid conference chairs with matching conference submissions with potential reviewers.
Full Peer Review Documentation
Quick Navigation
Searching Papers By Keyword
Paper Lookup
Author Lookup
Traversing the Literature Graph
Peer Reviews
Additional Resources
In addition to the Semantic Scholar API, we provide the following datasets as free and open resources:
SUPP.AI
An AI-curated corpus of supplements, drugs, and interactions
CORD-19
A corpus of academic papers about COVID-19 and related coronavirus research
S2ORC
A general purpose corpus for NLP and text mining research over scientific papers
Contact Our Partner Team
Featured API News
Zombie research haunts academic literature long after its supposed demise
Jun 26, 2021
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Dubious papers taint specialist journals long after they have been retracted
The Economist
A New and Improved Semantic Scholar API
Aug 10, 2021
3 min read
Developers can now use our API to programmatically search our corpus of nearly 200 million papers
By Semantic Scholar
Conference Peer Review with the Semantic Scholar API
Jun 15, 2021
4 min read
We are excited to release the first version of our new service specifically for peer review as part of the Semantic Scholar API.
By Rodney Kinney, Principal Engineer
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Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.
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