AcaRevival Initiative

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

Read Manifesto →
MS

Malcolm Sambridge

Earth Sciences

Australian National University

No ratings yetBe the first to rate
Loading...

About Malcolm Sambridge at Australian National University (ANU)

Malcolm Sambridge is a leading geophysicist at the Australian National University specializing in Bayesian inference and seismic imaging techniques for Earth structure and earthquake studies. Their recent contributions to the field are exemplified by influential works such as "Hydrological objective functions and ensemble averaging with the Wasserstein distance", and "Emerging Directions in Geophysical Inversion".

Research Areas

Bayesian inversionseismic imagingtransdimensional samplingearthquake studiesgeophysical tomographyMarkov Chain Monte Carlotectonic processes
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 Malcolm Sambridge aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations18,608

Top 5% globally

Publications294

Highly prolific researcher

h-index61

Field leader

i10-index130

Broad impact

Lab Environment

No lab data yet for Malcolm Sambridge

+ 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.