AcaRevival Initiative

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

Read Manifesto →
KL

Kent Larson

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Kent Larson at Massachusetts Institute of Technology (MIT)

Kent Larson is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Human Mobility and Location-Based Analysis, Transportation and Mobility Innovations, and Urban Transport and Accessibility. As a highly cited researcher, their work has accumulated over 3,725 citations, reflecting substantial influence across the academic community. Their H-index of 22 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Human Mobility and Location-Based AnalysisTransportation and Mobility InnovationsUrban Transport and AccessibilityContext-Aware Activity Recognition SystemsTransportation Planning and Optimization

Academic Impact Matrix

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

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

Research Output

Total Citations3,725

Emerging researcher

Publications146

Selective publication record

h-index22

Developing track record

i10-index42

Growing portfolio

Lab Environment

No lab data yet for Kent Larson

+ 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.