citation-management

You can generate BibTeX entries by running multi-source queries through Google Scholar and PubMed. The Skill automates citation discovery, extracts core metadata, normalizes author lists and DOIs, and outputs properly formatted BibTeX entries for your bibliography.

The best way to extract metadata for a literature review is to use a tool that queries CrossRef and scholarly databases to collect, format, and validate citations automatically, ensuring reproducible bibliographies with minimal manual effort.

Yes, you can validate DOIs and check for duplicate citations. The Skill includes quality assurance features that clean BibTeX entries, validate DOI accuracy against CrossRef metadata, and remove duplicates for seamless manuscript submission.

Yes, you need Python with the scholarly and requests packages installed. These dependencies power the automated search queries across Google Scholar and PubMed, enabling the retrieval of accurate citation details via public APIs.

Automated citation management normalizes metadata by querying CrossRef APIs to retrieve accurate citation details. It standardizes inconsistent author lists, titles, journals, years, and DOIs into a unified format before BibTeX generation.

Limitations of using public APIs for metadata extraction include dependency on API rate limits and potential query restrictions. While it automates discovery and BibTeX formatting, heavy automated queries to Google Scholar or PubMed may encounter access throttling.