AcaRevival Initiative

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

Read Manifesto →
RP

Rafael Palacios

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About Rafael Palacios at Massachusetts Institute of Technology (MIT)

Rafael Palacios is an academic professional affiliated with Massachusetts Institute of Technology. Their primary research focus includes Handwritten Text Recognition Techniques, Image Processing and 3D Reconstruction, and Vehicle License Plate Recognition. As a highly cited researcher, their work has accumulated over 1,007 citations, reflecting substantial influence across the academic community. Their H-index of 13 further reflects the breadth and sustained impact of their scholarly contributions.

Research Areas

Handwritten Text Recognition TechniquesImage Processing and 3D ReconstructionVehicle License Plate RecognitionAir Traffic Management and OptimizationNetwork Security and Intrusion Detection

Academic Impact Matrix

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

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

Research Output

Total Citations1,007

Emerging researcher

Publications65

Selective publication record

h-index13

Developing track record

i10-index20

Early-stage portfolio

Lab Environment

No lab data yet for Rafael Palacios

+ 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.