AcaRevival Initiative

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

Read Manifesto →
MS

Maximilian Stölzle

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Maximilian Stölzle at Massachusetts Institute of Technology (MIT)

Maximilian Stölzle is a researcher based at Massachusetts Institute of Technology. They specialize in Soft Robotics and Applications, Micro and Nano Robotics, and Robotics and Sensor-Based Localization, with ongoing contributions to these areas. Their research has drawn over 169 citations, marking them as an increasingly recognized voice in their field. A solid H-index of 6 speaks to the quality and reach of their work.

Research Areas

Soft Robotics and ApplicationsMicro and Nano RoboticsRobotics and Sensor-Based LocalizationModular Robots and Swarm IntelligenceRobot Manipulation and Learning

Academic Impact Matrix

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

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

Research Output

Total Citations338

Emerging researcher

Publications44

Selective publication record

h-index6

Developing track record

i10-index4

Early-stage portfolio

Lab Environment

No lab data yet for Maximilian Stölzle

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Top Publications

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.