AcaRevival Initiative

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

Read Manifesto →
PW

Pete Warden

Stanford University

No ratings yetBe the first to rate
Loading...

About Pete Warden at Stanford University (Stanford)

Pete Warden is an academic professional affiliated with Stanford University. Their primary research focus includes Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, and IoT and Edge/Fog Computing. As a highly cited researcher, their work has accumulated over 15,997 citations, reflecting substantial influence across the academic community. Their H-index of 10 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Advanced Neural Network ApplicationsParallel Computing and Optimization TechniquesIoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsTopic Modeling

Academic Impact Matrix

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

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

Research Output

Total Citations15,997

Top 15% in field

Publications31

Selective publication record

h-index10

Developing track record

i10-index10

Early-stage portfolio

Lab Environment

No lab data yet for Pete Warden

+ 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.