AcaRevival Initiative

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

Read Manifesto →
SC

Soonwon Choi

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Soonwon Choi at Massachusetts Institute of Technology (MIT)

Soonwon Choi is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Quantum many-body systems, Quantum Computing Algorithms and Architecture, and Quantum Information and Cryptography. As a highly cited researcher, their work has accumulated over 12,072 citations, reflecting substantial influence across the academic community. Their H-index of 39 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Quantum many-body systemsQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyCold Atom Physics and Bose-Einstein CondensatesQuantum and electron transport phenomena

Academic Impact Matrix

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

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

Research Output

Total Citations12,072

Above average

Publications169

Active researcher

h-index39

Established scholar

i10-index57

Growing portfolio

Lab Environment

No lab data yet for Soonwon Choi

+ 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.