academic-research

To find highly cited papers and trace citation history, search by keyword using Semantic Scholar and ArXiv, then sort by citation count or velocity to identify seminal works and map provenance.

Yes, you can export BibTeX files directly from search results by applying the BibTeX format option to your keyword query, retrieving structured metadata including authors, year, venue, and URLs for academic references.

Citation velocity measures citations per year to indicate a paper's impact momentum. Filtering search results by velocity helps identify rapidly influential seminal works rather than just historically highly cited papers.

To filter scholarly papers for open access PDFs, apply the open-access filtering option during your keyword search, returning structured results that include direct pdf_url links alongside abstracts and citation metrics.

No, searching for papers does not require complex dependencies. The skill relies solely on the standard Python requests library to query Semantic Scholar and ArXiv APIs for abstracts, citations, and BibTeX exports.

The best way to discover papers citing a specific target work is using provenance tracing features, which query Semantic Scholar to map the evolution of ideas and retrieve structured citation data for the target paper.