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Academic → Similar Papers
AI-generatedOverview
The node fetches a list of academic papers similar to a specified paper using its identifier. It is useful for researchers or academics who want to discover related work based on a known paper. For example, given a DOI or other paper ID, the node returns similar papers, optionally including citation graph edge data, helping users explore related literature efficiently.
Use Case Examples
- Finding similar research papers to a given DOI to expand literature review.
- Discovering related academic articles based on an ArXiv or PubMed ID.
Properties
| Name | Meaning |
|---|---|
| Fields to Return | Specifies which fields to include in the results, such as title, authors, year, abstract, DOI, URL, PDF URL, date, total citations, total references, provider information, and raw provider-specific metadata. Leaving this empty returns all default fields. |
| Paper ID | The identifier of the paper to find similar papers for. Supports various ID types such as DOI, Semantic Scholar ID, ArXiv ID, PubMed ID, OpenAlex ID, or URL. This is a required field. |
| Limit | Maximum number of similar papers to return, with a minimum of 1 and maximum of 100. |
| Include Edges | Boolean flag indicating whether to include citation graph edge data (citingIds, citedByIds) in the results. |
Output
JSON
title- Title of the similar paper.authors- Authors of the similar paper.year- Publication year of the similar paper.abstract- Abstract of the similar paper.doi- DOI of the similar paper.url- URL of the similar paper.pdfURL- PDF URL of the similar paper.date- Date associated with the similar paper.totalCitations- Total number of citations the similar paper has received.totalReferences- Total number of references cited by the similar paper.provider- Provider name of the paper metadata.providerURL- Provider's URL for the paper.providerData- Raw provider-specific metadata for the paper.citingIds- IDs of papers citing the similar paper (included if 'Include Edges' is true).citedByIds- IDs of papers cited by the similar paper (included if 'Include Edges' is true).
Dependencies
- An API key credential for the PDF Vector API
Troubleshooting
- Ensure the Paper ID is correctly formatted and supported (DOI, Semantic Scholar ID, ArXiv ID, PubMed ID, OpenAlex ID, or URL).
- If the API returns errors, check the API key credential and network connectivity.
- Limit parameter must be between 1 and 100; values outside this range may cause errors.
- If 'Include Edges' is enabled, the response may be larger and slower; consider disabling if performance issues occur.
Links
- PDF Vector API Reference - Official documentation for the Academic operations of the PDF Vector API.