AcaRevival Initiative

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

Read Manifesto →
TK

Takashi Kurumaji

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Takashi Kurumaji at Massachusetts Institute of Technology (MIT)

Takashi Kurumaji is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Multiferroics and related materials, Advanced Condensed Matter Physics, and Magnetic and transport properties of perovskites and related materials. As a highly cited researcher, their work has accumulated over 2,107 citations, reflecting substantial influence across the academic community. Their H-index of 21 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Multiferroics and related materialsAdvanced Condensed Matter PhysicsMagnetic and transport properties of perovskites and related materialsMagnetic properties of thin filmsFerroelectric and Piezoelectric Materials

Academic Impact Matrix

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

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

Research Output

Total Citations2,107

Emerging researcher

Publications80

Selective publication record

h-index21

Developing track record

i10-index27

Early-stage portfolio

Lab Environment

No lab data yet for Takashi Kurumaji

+ Contribute First Review
  • Supervisionawaiting data
  • Responsivenessawaiting data
  • Fundingawaiting data
  • Communicationawaiting data
  • Work-Life Balanceawaiting data

Top Publications

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.