AcaRevival Initiative

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

Read Manifesto →
VS

Valerio Scagnoli

Physics

ETH Zurich

No ratings yetBe the first to rate
Loading...

About Valerio Scagnoli at ETH Zurich (ETH)

Valerio Scagnoli is a physicist at ETH Zurich specializing in advanced condensed matter systems, particularly magnetic and multiferroic materials. Representative publications include "2025 roadmap on 3D nanomagnetism", and "Plasmon‐Enhanced Optical Control of Magnetism at the Nanoscale via the Inverse Faraday Effect", which reflect their ongoing engagement with the field.

Research Areas

condensed matter physicsmagnetic materialsmultiferroicsperovskitesartificial spin icex-ray scatteringnanoscale imagingtransport properties
Stop Acting Like a Student.

Most PhDs fail because they never learn the hidden rules of the lab. The top 15% do.

sponsored · disclosure

Curated by the RateMySupervisor community for research productivity. · As an Amazon Associate we earn from qualifying purchases.

Academic Impact Matrix

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

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

Research Output

Total Citations3,660

Emerging researcher

Publications189

Active researcher

h-index33

Established scholar

i10-index76

Growing portfolio

Lab Environment

No lab data yet for Valerio Scagnoli

+ 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.