Trending Papers in Research Fields

The website retrieves trending papers from OpenAlex based on the selected field, subfield and topic, among other properties. It then generates an LLM-based summary of the current trends based on these results.

Selection Hierarchy

• field: Broad research areas (e.g., Physical Sciences, Life Sciences)
• Subfield: More specific areas within fields (e.g., Computer Science, Biology)
• Topic: Narrow research topics within subfields (e.g., Machine Learning, Genetics)

You can select multiple options at each level. Leave fields empty to include all options at that level.

Which metric to use?

• Citation Velocity: use when you want the long-term trend (is attention rising or falling?).
• Recent Citations: use when you care about current activity or short-term momentum (raw counts in last N years).
• Relative Popularity: use when you want to know how concentrated impact is in the latest year (hotness relative to lifetime).

Keyword Analysis

When enabled, the system will analyze trending keywords in the selected field using the same metrics applied to papers. This provides insights into emerging topics and research themes.