AcaRevival Initiative

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

Read Manifesto →
HY

Horngtzer Yau

Mathematics

Harvard University

No ratings yetBe the first to rate
Loading...

About Horngtzer Yau at Harvard University (Harvard)

Based at the Mathematics Department of Harvard University, Horngtzer Yau is an active contributor to academic research. Their scholarly work centers on Random Matrices, Spectral Theory, and Mathematical Physics. With over 9,163 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 54 underscores the consistent quality and influence of their published research.

Research Areas

Random MatricesSpectral TheoryMathematical PhysicsStochastic ProcessesStatistical MechanicsEigenvalue RigidityUniversality
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 Horngtzer Yau aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations9,163

Above average

Publications196

Active researcher

h-index54

Field leader

i10-index100

Broad impact

Lab Environment

No lab data yet for Horngtzer Yau

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

Top Publications

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.