AcaRevival Initiative

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

Read Manifesto →
MR

Muhammad Musaddique Ali Rafique

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Muhammad Musaddique Ali Rafique at Massachusetts Institute of Technology (MIT)

Muhammad Musaddique Ali Rafique holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on Metallic Glasses and Amorphous Alloys, Additive Manufacturing and 3D Printing Technologies, and Additive Manufacturing Materials and Processes. With over 354 citations accumulated, their work continues to earn recognition across academic communities. Their H-index of 8 highlights a growing trajectory of research influence.

Research Areas

Metallic Glasses and Amorphous AlloysAdditive Manufacturing and 3D Printing TechnologiesAdditive Manufacturing Materials and ProcessesGlass properties and applicationsPlanetary Science and Exploration

Academic Impact Matrix

Research output metrics for Muhammad Musaddique Ali Rafique aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations354

Emerging researcher

Publications95

Selective publication record

h-index8

Developing track record

i10-index8

Early-stage portfolio

Lab Environment

No lab data yet for Muhammad Musaddique Ali Rafique

+ 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.