AcaRevival Initiative

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

Read Manifesto →
JJ

Johanna Jacobi

Agricultural Sciences

ETH Zurich

No ratings yetBe the first to rate
Loading...

About Johanna Jacobi at ETH Zurich (ETH)

Johanna Jacobi is a researcher at ETH Zurich focusing on sustainable agriculture, rural development, and justice in food value chains. Their recent contributions to the field are exemplified by influential works such as "Ecological quality as a coffee quality enhancer. A review", and "Reflexive use of methods: a framework for navigating different types of knowledge and power in transformative research".

Research Areas

sustainable agriculturevalue chain justiceland use policyrural developmentorganic farmingagroecologyfood systemsenvironmental sustainability
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 Johanna Jacobi aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations1,458

Emerging researcher

Publications137

Selective publication record

h-index20

Developing track record

i10-index32

Growing portfolio

Lab Environment

No lab data yet for Johanna Jacobi

+ 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.