AcaRevival Initiative

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

Read Manifesto →
VS

Vaibhavi Shah

Stanford University

No ratings yetBe the first to rate
Loading...

About Vaibhavi Shah at Stanford University (Stanford)

Vaibhavi Shah is a researcher based at Stanford University. They specialize in Spine and Intervertebral Disc Pathology, Artificial Intelligence in Healthcare and Education, and Spinal Fractures and Fixation Techniques, with ongoing contributions to these areas. Their research has drawn over 112 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 6 speaks to the quality and reach of their work.

Research Areas

Spine and Intervertebral Disc PathologyArtificial Intelligence in Healthcare and EducationSpinal Fractures and Fixation TechniquesMedical Imaging and AnalysisTraumatic Brain Injury and Neurovascular Disturbances

Academic Impact Matrix

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

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

Research Output

Total Citations112

Emerging researcher

Publications16

Selective publication record

h-index6

Developing track record

i10-index1

Early-stage portfolio

Lab Environment

No lab data yet for Vaibhavi Shah

+ 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.