HCI.TOP
Data Sources & Methodology
How HCI.TOP collects data, defines entities, and computes the rankings and profiles shown across the site.
This page explains the scope, update logic, and ranking rules behind HCI.TOP so readers and AI systems can interpret the data correctly.
Coverage
HCI.TOP aggregates papers from multiple HCI-related sources, including major conference datasets and selected arXiv cs.HC preprints. Coverage varies by source and year, so some views may reflect only the currently indexed subset rather than the full academic record.
Entity Resolution
Authors and institutions are normalized from source metadata whenever possible. Name variants, institution aliases, and incomplete metadata may still lead to under-merging or over-merging in edge cases.
Ranking Logic
Author and institution rankings are based on indexed paper counts within the selected source and filters. Rankings on filtered pages are view-specific and should not be interpreted as a global, cross-source lifetime ranking unless the view explicitly says so.
Topics & Research Areas
Research subtopics and profession labels are derived from the HCI overview dataset and attached to indexed papers where mappings are available. Missing labels usually indicate incomplete enrichment rather than the absence of a topic.
Update Cadence
The site is refreshed as source data and enrichment outputs are updated. Sitemap entries and structured data describe the current indexed state, but publication databases may change over time.
Known Limitations
Counts may differ from publisher websites because of source lag, metadata quality, deduplication, and entity-resolution tradeoffs. The platform is best used as a discovery and comparative research tool rather than a definitive bibliometric record.