get_top_cited_works
Identify the most-cited scholarly works in any research area, automatically filtering for highly influential papers. Combine with journal or conference filters to find top papers in specific venues.
Instructions
Find the most highly cited works in a research area or matching specific criteria. Identifies influential and seminal papers. Automatically filters for papers with significant citations. Combine with source_name or source_issn to find the most-cited papers in a specific top journal/conference.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | No | Search query to filter works (optional). For exact phrase matching (e.g., 'privacy paradox' as a specific concept), set exact_phrase to true. | |
| topic | No | Filter by research topic. For exact phrase matching (e.g., 'privacy paradox' as a specific concept), set exact_phrase to true. | |
| to_year | No | Consider works up to this year | |
| per_page | No | Number of top works to return (default: 10, use 20 for broader coverage, max: 200) | |
| from_year | No | Consider works from this year onwards | |
| source_issn | No | Restrict to a specific journal/conference by ISSN (most precise) | |
| source_name | No | Restrict to a specific journal or conference by name (e.g., "Nature", "NeurIPS", "ICML") | |
| exact_phrase | No | Set to true for exact phrase matching. Without this, search terms are matched independently. Use this when searching for a specific concept or multi-word term (e.g., 'privacy paradox', 'supply chain resilience'). | |
| search_field | No | Restrict search to a specific field: 'title' (paper titles only), 'abstract' (abstracts only), or 'fulltext' (full text only). By default, searches across all fields. Cannot be combined with exact_phrase. | |
| min_citations | No | Minimum citation count threshold (default: 50). Use higher values (e.g., 200) for only the most influential papers. | |
| institution_group | No | Named institution group: harvard_stanford_mit, ivy_league, top_us, insead_london, top_global_business, top_china | |
| author_institution | No | Filter by author institution. Use | for OR. E.g., "Harvard University|MIT" |