AcaRevival Initiative

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

Read Manifesto →
AF

Alessio Figalli

Mathematics

ETH Zurich

No ratings yetBe the first to rate
Loading...

About Alessio Figalli at ETH Zurich (ETH)

Alessio Figalli is a researcher at ETH Zurich, where they contribute to the Mathematics Department. They specialize in Nonlinear Partial Differential Equations, Geometric Analysis, and Curvature Flows, with ongoing contributions to these areas. Their academic career is distinguished by over 5,550 citations, demonstrating their leading role in the global research community. With a formidable H-index of 44, Alessio Figalli continues to drive innovation in their area of expertise.

Research Areas

Nonlinear Partial Differential EquationsGeometric AnalysisCurvature FlowsOptimal TransportFree Boundary ProblemsMathematical ModelingCalculus of Variations

Academic Impact Matrix

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

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

Research Output

Total Citations5,550

Emerging researcher

Publications303

Highly prolific researcher

h-index44

Established scholar

i10-index106

Broad impact

Lab Environment

No lab data yet for Alessio Figalli

+ 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.