AcaRevival Initiative

Experienced academic misconduct or bullying? We're building a real weapon against it.

Read Manifesto →
VC

Vincent Conitzer

Computer Science

Carnegie Mellon University

No ratings yetBe the first to rate
Loading...

About Vincent Conitzer at Carnegie Mellon University (CMU)

Vincent Conitzer is a researcher at Carnegie Mellon University, where they contribute to the Computer Science Department. They specialize in Auction Theory, Game Theory, and Voting Systems, with ongoing contributions to these areas. Their academic career is distinguished by over 10,067 citations, demonstrating their leading role in the global research community. With a formidable H-index of 52, Vincent Conitzer continues to drive innovation in their area of expertise.

Research Areas

Auction TheoryGame TheoryVoting SystemsAutomated ReasoningMulti-Agent SystemsAlgorithmic Game TheorySocial ChoiceMechanism Design
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

Research output metrics for Vincent Conitzer aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations10,067

Above average

Publications393

Highly prolific researcher

h-index52

Field leader

i10-index169

Exceptional breadth

Lab Environment

No lab data yet for Vincent Conitzer

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Reviews (0)

No reviews yet for this supervisor.

Be the first to share your experience!

Is your PI driving you crazy?

Featured Article

The Sunday Night Dread: Surviving a Micromanaging PhD Supervisor

Real advice from PhD students on recognizing and navigating difficult supervisor relationships

Your experience matters. After reading the guide, share your review to help other PhD students.

Frequently Asked Questions

Not sure how to interpret mixed signals? A structured decision guide can help you think through high-risk supervision choices more clearly. Download the free guide.