AcaRevival Initiative

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

Read Manifesto →
KP

Kristin A. Persson

Stanford University

No ratings yetBe the first to rate
Loading...

About Kristin A. Persson at Stanford University (Stanford)

Kristin A. Persson is an academic professional affiliated with Stanford University. Their primary research focus includes Machine Learning in Materials Science, Advancements in Battery Materials, and Advanced Battery Materials and Technologies. As a highly cited researcher, their work has accumulated over 61,084 citations, reflecting substantial influence across the academic community. Their H-index of 110 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Machine Learning in Materials ScienceAdvancements in Battery MaterialsAdvanced Battery Materials and TechnologiesX-ray Diffraction in CrystallographyAdvanced Battery Technologies Research

Academic Impact Matrix

Research output metrics for Kristin A. Persson aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations61,084

Top 5% globally

Publications645

Highly prolific researcher

h-index110

Nobel-level impact

i10-index296

Exceptional breadth

Lab Environment

No lab data yet for Kristin A. Persson

+ 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.