AcaRevival Initiative

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

Read Manifesto →
RJ

Rahul Jayaraman

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Rahul Jayaraman at Massachusetts Institute of Technology (MIT)

Rahul Jayaraman is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Stellar, planetary, and and galactic studies. As a highly cited researcher, their work has accumulated over 1,316 citations, reflecting substantial influence across the academic community. Their H-index of 13 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Stellarplanetaryand galactic studiesAstronomy and Astrophysical ResearchAstrophysics and Star Formation StudiesGamma-ray bursts and supernovaeAstronomical Observations and Instrumentation

Academic Impact Matrix

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

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

Research Output

Total Citations1,316

Emerging researcher

Publications75

Selective publication record

h-index13

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

No lab data yet for Rahul Jayaraman

+ 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.