AcaRevival Initiative

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

Read Manifesto →
RL

Retsef Levi

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Retsef Levi at Massachusetts Institute of Technology (MIT)

Retsef Levi holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on Supply Chain and Inventory Management, Optimization and Search Problems, and Advanced Queuing Theory Analysis. With over 4,273 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 37 underscores the consistent quality and influence of their published research.

Research Areas

Supply Chain and Inventory ManagementOptimization and Search ProblemsAdvanced Queuing Theory AnalysisHealthcare Operations and Scheduling OptimizationScheduling and Optimization Algorithms

Academic Impact Matrix

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

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

Research Output

Total Citations4,273

Emerging researcher

Publications169

Active researcher

h-index37

Established scholar

i10-index75

Growing portfolio

Lab Environment

No lab data yet for Retsef Levi

+ 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.