AcaRevival Initiative

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

Read Manifesto →
AS

Alexander Smith

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Alexander Smith at Massachusetts Institute of Technology (MIT)

Alexander Smith is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Medical Malpractice and Liability Issues, Algebraic Geometry and Number Theory, and Disaster Response and Management. As an established researcher, their work has gained over 179 citations, reflecting growing recognition within the scientific community. Their H-index of 4 further reflects consistent scholarly impact.

Research Areas

Medical Malpractice and Liability IssuesAlgebraic Geometry and Number TheoryDisaster Response and ManagementHomotopy and Cohomology in Algebraic TopologyAnalytic Number Theory Research

Academic Impact Matrix

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

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

Research Output

Total Citations179

Emerging researcher

Publications38

Selective publication record

h-index4

Developing track record

i10-index2

Early-stage portfolio

Lab Environment

No lab data yet for Alexander Smith

+ 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.