AcaRevival Initiative

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

Read Manifesto →
MG

Martin M. Goner

Environmental Systems Science

ETH Zurich

No ratings yetBe the first to rate
Loading...

About Martin M. Goner at ETH Zurich (ETH)

Martin M. Goßner is a professor at ETH Zurich specializing in forest ecology, biodiversity dynamics, and insect-ecosystem interactions. Goner has established a strong presence in the field. Their research directions are illustrated by key works including "Insect decline in forests depends on species’ traits and may be mitigated by management", and "Linking structure and species richness to support forest biodiversity monitoring at large scales".

Research Areas

forest ecologybiodiversityinsect ecologyvegetation dynamicsecosystem functioninglandscape connectivitysoil ecoacousticstrophic interactions
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 Martin M. Goner aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations14,743

Top 15% in field

Publications387

Highly prolific researcher

h-index58

Field leader

i10-index207

Exceptional breadth

Lab Environment

No lab data yet for Martin M. Goner

+ 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.