AcaRevival Initiative

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

Read Manifesto →
KM

Kenji Marshall

Stanford University

No ratings yetBe the first to rate
Loading...

About Kenji Marshall at Stanford University (Stanford)

Kenji Marshall is an academic professional affiliated with Stanford University. Their primary research focus includes Neural dynamics and brain function, Advanced Memory and Neural Computing, and Neural Networks and Reservoir Computing. As an established researcher, their work has gained over 205 citations, reflecting growing recognition within the scientific community. Their H-index of 5 further reflects consistent scholarly impact.

Research Areas

Neural dynamics and brain functionAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingFunctional Brain Connectivity StudiesAdvanced MRI Techniques and Applications

Academic Impact Matrix

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

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

Research Output

Total Citations410

Emerging researcher

Publications18

Selective publication record

h-index5

Developing track record

i10-index5

Early-stage portfolio

Lab Environment

No lab data yet for Kenji Marshall

+ 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.