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Cicadus

AI Literature Review & Citation Mapping for Researchers

Cicadus transforms how academics engage with scholarly articles, offering a comprehensive platform for understanding complex research landscapes. Key features include: • Citation mapping for visualizing research networks • Classification of citation intent (background, method, critique) • Identification of literature gaps • Semantic search beyond keywords • Interactive visualization of citation relationships This platform helps researchers quickly grasp the logical architecture behind academic work. By starting with a research question or paper upload, Cicadus automates the intensive process of literature review. It uncovers core papers and analyzes their citations, making explicit why studies reference each other. Cicadus moves beyond traditional keyword searches, prioritizing meaning and relevance to retrieve literature based on its actual contribution. It treats research as a structured network of ideas, enabling users to explore how concepts evolve through interactive visualizations and annotated documents. This allows for the discovery of nuanced insights that typically demand weeks of manual analysis. Designed for PhD scholars, graduate students, and researchers, Cicadus is ideal for anyone seeking to accelerate systematic reviews, identify evidence gaps, and achieve a deeper, insight-first understanding of their field.
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