AcaRevival Initiative

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

Read Manifesto →
DM

David Marlevi

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About David Marlevi at Massachusetts Institute of Technology (MIT)

David Marlevi is a researcher based at Massachusetts Institute of Technology. They specialize in Advanced MRI Techniques and Applications, Cardiovascular Function and Risk Factors, and Cerebrovascular and Carotid Artery Diseases, with ongoing contributions to these areas. Their research has drawn over 620 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 15 speaks to the quality and reach of their work.

Research Areas

Advanced MRI Techniques and ApplicationsCardiovascular Function and Risk FactorsCerebrovascular and Carotid Artery DiseasesCardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics

Academic Impact Matrix

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

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

Research Output

Total Citations620

Emerging researcher

Publications88

Selective publication record

h-index15

Developing track record

i10-index20

Early-stage portfolio

Lab Environment

No lab data yet for David Marlevi

+ 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.