Graph Neighborhoods for Scholarly Search and Topic Expansion
We precompute neighborhoods over works, authors, communities and institutions to speed exploratory search.
Topic overview
Research Collaboration
Signals, incentives and matching for scholarly collaboration.
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9works
9authors
0experts visible
2communities
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Research Collaboration
9 works
Papers in this area
9 work(s)
Probabilistic Claim Resolution for Author Entities in Scholarly Graphs
This work formalizes a claim workflow that separates platform users, researcher profiles and author entities, improving identity resolution without degrading product usability.
Verified Expert Routing with Institutional Signals in Research Networks
This paper combines institution verification, topical expertise and trust snapshots to route methodological questions to the right specialists.
Moderation Ledger Design for Research Platforms
We propose ledger-based moderation records that improve accountability, appeals and policy learning in research products.
A Signal Layer for Science: Structured Reviews, Graph Context and Faster Research Triage
We present a graph-native product architecture for scholarly sensemaking where work pages, topic maps and researcher trust signals reduce time-to-understanding for new literature.
Calibrated Review Rubrics for AI Science Communities
We evaluate rubric design for structured reviews, moderation queues and reviewer calibration in technical communities.
Collaboration Intent Signals in Research Labs
We extract actionable collaboration intent from follows, saves, reviews and topic overlap without collapsing trust into a single opaque metric.
Trust-Aware Feed Ranking for Scholarly Collaboration Networks
We study how follow edges, review quality, graph proximity and freshness can be blended into an explainable feed optimized for high-signal research discovery.
Topic-Aware Opportunity Matching for Research Careers
We use graph signals and topical expertise to connect researchers with fellowships, residencies and collaboration openings.
People in this topic
9 active researcher(s)
Diego Santana
Applied Research Engineer
Builds collaboration tooling and graph-backed ranking loops for scholarly platforms.
Open to collaborateHanae Morita
Senior Lecturer
Works on review quality, moderation design and institutional trust systems for online science.
Open to collaborateLena Hartmann
Research Scientist, Networked Intelligence
Designs graph retrieval layers and provenance-rich interfaces for scientific search.
Open to collaborateMira Alvarez
PI, Machine Intelligence Lab
Builds graph-native systems for research evaluation and discovery.
Open to collaborateNoah Darzi
Staff Research Scientist
Studies expert routing, retrieval systems and opportunity matching in scientific networks.
Open to collaborateOwen Chen
Postdoctoral Researcher
Works on literature-scale retrieval and scientific representation learning.
Open to collaborateRhea Patel
PhD Candidate
Studies trust signals and structured peer feedback in online science.
Open to collaborateSunwoo Kim
Industry Research Scientist
Bridges dataset-centric ML with reproducibility tooling.
Heads-down modeTessa Okafor
Research Software Engineer
Links papers, repositories and datasets with reproducible provenance infrastructure.
Open to collaborate