AcaRevival Initiative

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

Read Manifesto →
EM

Eric D. Miller

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Eric D. Miller at Massachusetts Institute of Technology (MIT)

Eric D. Miller is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Astrophysical Phenomena and Observations, Astronomy and Astrophysical Research, and Galaxies: Formation. As a highly cited researcher, their work has accumulated over 5,563 citations, reflecting substantial influence across the academic community. Their H-index of 34 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Astrophysical Phenomena and ObservationsAstronomy and Astrophysical ResearchGalaxies: FormationEvolutionPhenomenaParticle Detector Development and PerformanceGamma-ray bursts and supernovae

Academic Impact Matrix

Research output metrics for Eric D. Miller aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations16,689

Top 15% in field

Publications987

Highly prolific researcher

h-index34

Established scholar

i10-index75

Growing portfolio

Lab Environment

No lab data yet for Eric D. Miller

+ 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.