AcaRevival Initiative

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

Read Manifesto →
AA

Amir Abdollahi

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Amir Abdollahi at Massachusetts Institute of Technology (MIT)

Amir Abdollahi is a researcher based at Massachusetts Institute of Technology. They specialize in Numerical methods in engineering, Ultrasonics and Acoustic Wave Propagation, and Nonlocal and gradient elasticity in micro/nano structures, with ongoing contributions to these areas. Their academic career is distinguished by over 1,968 citations, demonstrating their leading role in the global research community. With a formidable H-index of 19, Amir Abdollahi continues to drive innovation in their area of expertise.

Research Areas

Numerical methods in engineeringUltrasonics and Acoustic Wave PropagationNonlocal and gradient elasticity in micro/nano structuresForce Microscopy Techniques and ApplicationsComposite Material Mechanics

Academic Impact Matrix

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

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

Research Output

Total Citations1,968

Emerging researcher

Publications41

Selective publication record

h-index19

Developing track record

i10-index24

Early-stage portfolio

Lab Environment

No lab data yet for Amir Abdollahi

+ 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.