View source: R/semantic_scholar.R
search_papers | R Documentation |
This function retrieves Semantic Scholar https://www.semanticscholar.org data for a keyword search.
search_papers(keyword, offset = 0, limit = 100, fields = NULL)
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limit |
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The following case-sensitive paper fields are recognized:
paperId : S2 generated research paper ID (Always included).
externalIds : Other catalog IDs for this paper, if known. Supports ArXiv, MAG, ACL, PubMed, Medline, PubMedCentral, DBLP, DOI.
title : Research paper title (Included if no fields are specified).
url : URL on the Semantic Scholar website.
abstract : Extracted abstract of the paper.
venue : Extracted publication venue for this paper.
year : Year this paper was published as integer.
referenceCount : The number of reference for this paper.
citationCount : The number of citation for this paper.
influentialCitationCount : The number of influential citation for this paper.
isOpenAccess : https://www.openaccess.nl/en/what-is-open-access
fieldsOfStudy : A list of high-level academic categories.
authors : Author(s) for this paper (Up to 500 will be returned).
authorId : Always included
name : Always included
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 https://www.semanticscholar.org/product/api#Partner-Form to request authentication for your project. 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.
list representing paper objects
Liuyong Ding
## Not run:
res <- search_papers(keyword = "bibliometrics",fields = c("title","abstract","authors"))
## End(Not run)
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