AcaRevival Initiative

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

Read Manifesto →
HA

Hasan Al‐Mahayni

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Hasan Al‐Mahayni at Massachusetts Institute of Technology (MIT)

Hasan Al‐Mahayni is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes CO2 Reduction Techniques and Catalysts, Ammonia Synthesis and Nitrogen Reduction, and Carbon dioxide utilization in catalysis. As an established researcher, their work has gained over 503 citations, reflecting growing recognition within the scientific community. Their H-index of 7 further reflects consistent scholarly impact.

Research Areas

CO2 Reduction Techniques and CatalystsAmmonia Synthesis and Nitrogen ReductionCarbon dioxide utilization in catalysisElectrocatalysts for Energy ConversionSulfur-Based Synthesis Techniques

Academic Impact Matrix

Research output metrics for Hasan Al‐Mahayni aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations503

Emerging researcher

Publications15

Selective publication record

h-index7

Developing track record

i10-index5

Early-stage portfolio

Lab Environment

No lab data yet for Hasan Al‐Mahayni

+ 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.