AcaRevival Initiative

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

Read Manifesto →
EM

Eytan Modiano

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Eytan Modiano at Massachusetts Institute of Technology (MIT)

Eytan Modiano is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Advanced Wireless Network Optimization, Advanced Optical Network Technologies, and Cooperative Communication and Network Coding. As a highly cited researcher, their work has accumulated over 16,137 citations, reflecting substantial influence across the academic community. Their H-index of 62 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Advanced Wireless Network OptimizationAdvanced Optical Network TechnologiesCooperative Communication and Network CodingMobile Ad Hoc NetworksAge of Information Optimization

Academic Impact Matrix

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

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

Research Output

Total Citations16,137

Top 15% in field

Publications563

Highly prolific researcher

h-index62

Field leader

i10-index229

Exceptional breadth

Lab Environment

No lab data yet for Eytan Modiano

+ 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.