AcaRevival Initiative

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

Read Manifesto →
AK

Amit Kaushal

Stanford University

No ratings yetBe the first to rate
Loading...

About Amit Kaushal at Stanford University (Stanford)

Amit Kaushal is a researcher based at Stanford University. They specialize in Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI, and Machine Learning in Healthcare, with ongoing contributions to these areas. Their academic career is distinguished by over 7,521 citations, demonstrating their leading role in the global research community. With a formidable H-index of 15, Amit Kaushal continues to drive innovation in their area of expertise.

Research Areas

Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AIMachine Learning in HealthcareRenal Transplantation Outcomes and TreatmentsAdvanced Proteomics Techniques and Applications

Academic Impact Matrix

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

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

Research Output

Total Citations7,521

Emerging researcher

Publications26

Selective publication record

h-index15

Developing track record

i10-index15

Early-stage portfolio

Lab Environment

No lab data yet for Amit Kaushal

+ 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.