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Actions18

Academic → Find Citations

AI-generated

Overview

The node performs academic citation searches based on a given text paragraph. It splits the paragraph into sentences and finds relevant academic papers citing those sentences from multiple academic databases such as Semantic Scholar, PubMed, ArXiv, Google Scholar, and others. This is useful for researchers, students, and academics who want to find citations related to specific text content quickly and from multiple sources.

Use Case Examples

  1. A researcher inputs a paragraph from their manuscript to find relevant citations to support their claims.
  2. A student uses the node to gather academic references for a literature review by providing a summary paragraph.
  3. An academic librarian uses the node to assist patrons in finding citations related to specific research topics.

Properties

Name Meaning
Providers Academic databases to search for citations. Results are merged across selected providers. Options include Semantic Scholar, PubMed, ArXiv, Google Scholar, OpenAlex, ERIC, Europe PMC, and Crossref.
Fields to Return Which fields to include in the citation results. Leaving empty returns all default fields. Fields include Title, Authors, Year, Abstract, DOI, URL, PDF URL, Date, Total Citations, Total References, Provider, Provider URL, and Provider Data (raw provider-specific metadata).
Paragraph Text paragraph to find citations for. The paragraph is split into sentences, and relevant papers are found for each sentence. Maximum length is 5000 characters.

Output

JSON

  • title - Title of the cited academic paper
  • authors - Authors of the cited paper
  • year - Publication year of the paper
  • abstract - Abstract text of the paper
  • doi - Digital Object Identifier for the paper
  • url - URL link to the paper
  • pdfURL - URL link to the PDF version of the paper
  • date - Date of publication or indexing
  • totalCitations - Total number of citations the paper has received
  • totalReferences - Total number of references cited by the paper
  • provider - Name of the academic database provider that returned the paper
  • providerURL - URL to the paper on the provider's website
  • providerData - Raw metadata from the provider specific to the paper

Dependencies

  • An API key credential for the PDF Vector API

Troubleshooting

  • Ensure the paragraph text does not exceed 5000 characters to avoid errors.
  • If no citations are found, verify that the selected providers support citation search and that the paragraph contains relevant academic content.
  • API errors may occur if the API key credential is invalid or expired; verify and update credentials as needed.

Links

Discussion