Phantom collaborators—topically similar authors distant in the coauthor graph—become actual coauthors 16-33 times more often than baselines, with a 68-fold similarity gradient.
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SotA Lens introduces a network-augmented workflow that turns seed searches into citation graphs with community detection to support exploratory state-of-the-art reviews.
CiteRadar is a new open-source pipeline that enriches Google Scholar citations using five external data sources and produces ranked tables plus an offline interactive geographic map from a single command.
Reddit analysis finds MAHA users show strong cross-theme belief bundling and network coherence unlike anti-MAHA users, with pandemic-era shifts from anti-fluoride/mask to anti-vaccine to broader anti-science engagement.
A multi-agent framework uses natural language to generate and execute Python code for dynamic bibliometric analysis including networks, clustering, and automated reports.
citing papers explorer
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Beyond coauthorship: semantic structure and phantom collaborators in transportation research, 1967--2025
Phantom collaborators—topically similar authors distant in the coauthor graph—become actual coauthors 16-33 times more often than baselines, with a 68-fold similarity gradient.
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SotA Lens: A Network-Augmented Methodology and Tool for Exploratory State-of-the-Art Reviews
SotA Lens introduces a network-augmented workflow that turns seed searches into citation graphs with community detection to support exploratory state-of-the-art reviews.
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CiteRadar: A Citation Intelligence Platform for Researcher Profiling and Geographic Visualization
CiteRadar is a new open-source pipeline that enriches Google Scholar citations using five external data sources and produces ranked tables plus an offline interactive geographic map from a single command.
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The Structure and Dynamics of the Online MAHA-sphere
Reddit analysis finds MAHA users show strong cross-theme belief bundling and network coherence unlike anti-MAHA users, with pandemic-era shifts from anti-fluoride/mask to anti-vaccine to broader anti-science engagement.
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AI-Augmented Bibliometric Framework: A Paradigm Shift with Agentic AI for Dynamic, Snippet-Based Research Analysis
A multi-agent framework uses natural language to generate and execute Python code for dynamic bibliometric analysis including networks, clustering, and automated reports.