AcaRevival Initiative

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

Read Manifesto →
MB

Michael S. Bernstein

Stanford University

No ratings yetBe the first to rate
Loading...

About Michael S. Bernstein at Stanford University (Stanford)

Michael S. Bernstein is a researcher based at Stanford University. They specialize in Mobile Crowdsensing and Crowdsourcing, Open Source Software Innovations, and Personal Information Management and User Behavior, with ongoing contributions to these areas. Their academic career is distinguished by over 58,293 citations, demonstrating their leading role in the global research community. With a formidable H-index of 62, Michael S. Bernstein continues to drive innovation in their area of expertise.

Research Areas

Mobile Crowdsensing and CrowdsourcingOpen Source Software InnovationsPersonal Information Management and User BehaviorMultimodal Machine Learning ApplicationsComplex Network Analysis Techniques

Academic Impact Matrix

Research output metrics for Michael S. Bernstein aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations58,293

Top 5% globally

Publications258

Highly prolific researcher

h-index62

Field leader

i10-index148

Broad impact

Lab Environment

No lab data yet for Michael S. Bernstein

+ 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.