AcaRevival Initiative

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

Read Manifesto →
DW

Daniel Winklehner

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Daniel Winklehner at Massachusetts Institute of Technology (MIT)

Daniel Winklehner is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Particle accelerators and beam dynamics, Particle Accelerators and Free-Electron Lasers, and Neutrino Physics Research. As an established researcher, their work has gained over 799 citations, reflecting growing recognition within the scientific community. Their H-index of 13 further reflects consistent scholarly impact.

Research Areas

Particle accelerators and beam dynamicsParticle Accelerators and Free-Electron LasersNeutrino Physics ResearchMagnetic confinement fusion researchAstrophysics and Cosmic Phenomena

Academic Impact Matrix

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

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

Research Output

Total Citations1,598

Emerging researcher

Publications184

Active researcher

h-index13

Developing track record

i10-index21

Early-stage portfolio

Lab Environment

No lab data yet for Daniel Winklehner

+ 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.