AcaRevival Initiative

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

Read Manifesto →
VB

Vladimir Bulović

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Vladimir Bulović at Massachusetts Institute of Technology (MIT)

Vladimir Bulović is a researcher based at Massachusetts Institute of Technology. They specialize in Quantum Dots Synthesis And Properties, Perovskite Materials and Applications, and Organic Electronics and Photovoltaics, with ongoing contributions to these areas. Their academic career is distinguished by over 53,011 citations, demonstrating their leading role in the global research community. With a formidable H-index of 101, Vladimir Bulović continues to drive innovation in their area of expertise.

Research Areas

Quantum Dots Synthesis And PropertiesPerovskite Materials and ApplicationsOrganic Electronics and PhotovoltaicsChalcogenide Semiconductor Thin FilmsOrganic Light-Emitting Diodes Research

Academic Impact Matrix

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

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

Research Output

Total Citations53,011

Top 5% globally

Publications426

Highly prolific researcher

h-index101

Nobel-level impact

i10-index243

Exceptional breadth

Lab Environment

No lab data yet for Vladimir Bulović

+ 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.