AcaRevival Initiative

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

Read Manifesto →
MM

Max A. Metlitski

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Max A. Metlitski at Massachusetts Institute of Technology (MIT)

Max A. Metlitski is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Physics of Superconductivity and Magnetism, Topological Materials and Phenomena, and Quantum many-body systems. As a highly cited researcher, their work has accumulated over 4,486 citations, reflecting substantial influence across the academic community. Their H-index of 31 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Physics of Superconductivity and MagnetismTopological Materials and PhenomenaQuantum many-body systemsQuantum and electron transport phenomenaTheoretical and Computational Physics

Academic Impact Matrix

Research output metrics for Max A. Metlitski aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations4,486

Emerging researcher

Publications86

Selective publication record

h-index31

Established scholar

i10-index47

Growing portfolio

Lab Environment

No lab data yet for Max A. Metlitski

+ 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.