AcaRevival Initiative

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

Read Manifesto →
MX

Michele Xiloyannis

Robotics and Rehabilitation Engineering

ETH Zurich

No ratings yetBe the first to rate
Loading...

About Michele Xiloyannis at ETH Zurich (ETH)

Michele Xiloyannis is an academic professional affiliated with the Robotics and Rehabilitation Engineering Department at ETH Zurich. Their primary research focus includes rehabilitation robotics, soft exosuits, and electromyography. As a highly cited researcher, their work has accumulated over 2,039 citations, reflecting substantial influence across the academic community. Their H-index of 27 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

rehabilitation roboticssoft exosuitselectromyographystroke recoveryprostheticshuman-robot interactionmovement analysisassistive technology

Academic Impact Matrix

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

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

Research Output

Total Citations2,039

Emerging researcher

Publications75

Selective publication record

h-index27

Developing track record

i10-index48

Growing portfolio

Lab Environment

No lab data yet for Michele Xiloyannis

+ 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.