Semantic Scholar Search provides citation-aware academic literature discovery by querying the Semantic Scholar API with keyword and semantic embeddings. It…
Semantic Scholar Search provides citation-aware academic literature discovery by querying the Semantic Scholar API with keyword and semantic embeddings. It supports keyword and semantic search, builds citation networks (using NetworkX) for influence and lineage analysis, computes author influence scores, identifies emerging research trends, recommends papers based on reading history, and extracts TL;DR summaries via sentence-transformers. Use it for systematic literature reviews, mapping citation relationships, finding influential authors, tracking hotspots, and receiving personalized reading recommendations. Key advantages: combines semantic embeddings with citation topology for more relevant and explainable results, accelerates literature triage with concise summaries, and enables reproducible citation-network analyses. Integrates readily into research workflows and pipelines for hypothesis generation, grant preparation, and survey writing.
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