AcaRevival Initiative

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

Read Manifesto →
HP

Héctor Penagos

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Héctor Penagos at Massachusetts Institute of Technology (MIT)

Héctor Penagos is a researcher based at Massachusetts Institute of Technology. They specialize in Memory and Neural Mechanisms, Neural dynamics and brain function, and Sleep and Wakefulness Research, with ongoing contributions to these areas. Their research has drawn over 740 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 9 speaks to the quality and reach of their work.

Research Areas

Memory and Neural MechanismsNeural dynamics and brain functionSleep and Wakefulness ResearchEEG and Brain-Computer InterfacesNeuroscience and Neuropharmacology Research

Academic Impact Matrix

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

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

Research Output

Total Citations740

Emerging researcher

Publications16

Selective publication record

h-index9

Developing track record

i10-index9

Early-stage portfolio

Lab Environment

No lab data yet for Héctor Penagos

+ 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.