AcaRevival Initiative

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

Read Manifesto →
VS

V. V. Sinev

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About V. V. Sinev at Massachusetts Institute of Technology (MIT)

V. V. Sinev is a researcher based at Massachusetts Institute of Technology. They specialize in Neutrino Physics Research, Particle physics theoretical and experimental studies, and Astrophysics and Cosmic Phenomena, with ongoing contributions to these areas. Their academic career is distinguished by over 1,582 citations, demonstrating their leading role in the global research community. With a formidable H-index of 16, V. V. Sinev continues to drive innovation in their area of expertise.

Research Areas

Neutrino Physics ResearchParticle physics theoretical and experimental studiesAstrophysics and Cosmic PhenomenaDark Matter and Cosmic PhenomenaParticle accelerators and beam dynamics

Academic Impact Matrix

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

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

Research Output

Total Citations1,582

Emerging researcher

Publications37

Selective publication record

h-index16

Developing track record

i10-index25

Early-stage portfolio

Lab Environment

No lab data yet for V. V. Sinev

+ 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.