Literature review automation. Turn messy result pages into consistent records: canonical title, abstract snippet, venue, year, identifiers, and outbound links. Group by topic and rank by recency, citations, or venue tier to produce brief-ready reading lists.
Citation network analysis. Build graphs per domain, institution, or lab; compute centrality, community clusters, and bridging papers. Surface “sleeping beauties,” rising topics, and under-cited but highly connected works that merit expert review.
Trend monitoring. Watchlists track authors, labs, and topics. Emit weekly diffs—new papers, citation deltas, profile changes—and route them to Slack/Email/BI. For R&D, overlay funding, patent mentions, and collaboration patterns to guide outreach and recruiting.
- KPIs: parser pass rate, dedupe precision/recall against gold sets, median latency, cost per 1k valid items.
- Outputs: JSON/CSV/Parquet, plus human-readable briefs with top papers, key authors, and network thumbnails.