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Actions18

Academic → Paper Graph

AI-generated

Overview

The node interacts with the Academic resource to retrieve a paper graph for a specified academic paper. It allows users to input a paper identifier (such as DOI, Semantic Scholar ID, ArXiv ID, PubMed ID, OpenAlex ID, or URL) and fetch related citation and reference data. This is useful for researchers or academics who want to explore the citation network of a paper, including citing papers and referenced papers, with options to limit and paginate the results.

Use Case Examples

  1. A researcher inputs a DOI to get a graph of papers citing and referenced by the target paper, helping to understand its academic impact and related works.
  2. An academic librarian uses the node to fetch citation data for a paper to assist in literature review and bibliometric analysis.

Properties

Name Meaning
Fields to Return Specifies which fields to include in the results, such as title, authors, year, abstract, DOI, URLs, citation counts, provider information, and raw provider-specific metadata. Leaving this empty returns all default fields.

Output

JSON

  • json - The JSON output contains the paper graph data including citing papers and referenced papers according to the specified limits and offsets.

Dependencies

  • Requires an API key credential for the PDF Vector API to authenticate requests.

Troubleshooting

  • Common issues include invalid or unsupported paper identifiers, which may cause errors in fetching data. Ensure the paper ID is correctly formatted and supported (DOI, Semantic Scholar ID, ArXiv ID, PubMed ID, OpenAlex ID, or URL).
  • Pagination parameters (citationsOffset, referencesOffset) must be non-negative integers; invalid values may cause errors.
  • API rate limits or credential issues may result in authentication errors; verify the API key is valid and has sufficient permissions.

Links

  • PDF Vector API Reference - Official documentation for the PDF Vector API, including Academic operations and parameters.

Discussion