AcaRevival Initiative

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

Read Manifesto →
PA

Polina Anikeeva

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Polina Anikeeva at Massachusetts Institute of Technology (MIT)

Polina Anikeeva holds an academic position at Massachusetts Institute of Technology. Their scholarly work centers on Neuroscience and Neural Engineering, Photoreceptor and optogenetics research, and Neural dynamics and brain function. With over 12,698 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 51 underscores the consistent quality and influence of their published research.

Research Areas

Neuroscience and Neural EngineeringPhotoreceptor and optogenetics researchNeural dynamics and brain functionQuantum Dots Synthesis And PropertiesEEG and Brain-Computer Interfaces

Academic Impact Matrix

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

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

Research Output

Total Citations12,698

Above average

Publications152

Active researcher

h-index51

Field leader

i10-index84

Broad impact

Lab Environment

No lab data yet for Polina Anikeeva

+ 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.