AcaRevival Initiative

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

Read Manifesto →
MO

Michael U. Ocheje

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Michael U. Ocheje at Massachusetts Institute of Technology (MIT)

Michael U. Ocheje is a researcher based at Massachusetts Institute of Technology. They specialize in Organic Electronics and Photovoltaics, Conducting polymers and applications, and Advanced Sensor and Energy Harvesting Materials, with ongoing contributions to these areas. Their academic career is distinguished by over 1,100 citations, demonstrating their leading role in the global research community. With a formidable H-index of 17, Michael U. Ocheje continues to drive innovation in their area of expertise.

Research Areas

Organic Electronics and PhotovoltaicsConducting polymers and applicationsAdvanced Sensor and Energy Harvesting MaterialsPolymer crystallization and propertiesSynthesis and properties of polymers

Academic Impact Matrix

Research output metrics for Michael U. Ocheje aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations2,200

Emerging researcher

Publications72

Selective publication record

h-index17

Developing track record

i10-index22

Early-stage portfolio

Lab Environment

No lab data yet for Michael U. Ocheje

+ 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.