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.
Researcher profile
Rhea Patel
Studies trust signals and structured peer feedback in online science.
Trust snapshot
Quick read
Trust 61 - TrustedVerification L2Unclaimed author
7works
0followers
3topics
4close collaborators
Actions
Decide how to stay connected
Identity and collaboration
How to connect with this researcher
Claiming links this public author record to a researcher profile and unlocks direct collaboration workflows.
Log in to claimDirect collaboration
Open a focused conversation when the fit is right
Claim this author entity first to unlock direct invitations.
Research graph
See the researcher in context
Inspect adjacent work, topics, institutions and collaborators without jumping out to a separate graph page.
work: 5author: 5
Drag to move the map, use wheel or controls to zoom.Selected author: Rhea Patel
authorsignal 104 adjacent
Rhea Patel
PhD Candidate
Published work
7 published item(s)
Conference Paper2024USENIX Security
Moderation Ledger Design for Research Platforms
We propose ledger-based moderation records that improve accountability, appeals and policy learning in research products.
24 citations9 reviewsNo code linkedOpen access
Preprint2026arXiv
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.
18 citations6 reviewsCode availableOpen access
Workshop Paper2025NeurIPS Datasets and Benchmarks Workshop
Calibrated Review Rubrics for AI Science Communities
We evaluate rubric design for structured reviews, moderation queues and reviewer calibration in technical communities.
17 citations10 reviewsNo code linkedOpen access
Journal Article2023Social Studies of Science
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.
14 citations8 reviewsNo code linkedRestricted access
Workshop Paper2024ICML AI for Science Workshop
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.
12 citations11 reviewsNo code linkedOpen access
Preprint2026arXiv
Topic-Aware Opportunity Matching for Research Careers
We use graph signals and topical expertise to connect researchers with fellowships, residencies and collaboration openings.
9 citations2 reviewsNo code linkedOpen access