AcaRevival Initiative

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

Read Manifesto →
CS

C. Adam Schlosser

Massachusetts Institute of Technology

No ratings yetBe the first to rate
Loading...

About C. Adam Schlosser at Massachusetts Institute of Technology (MIT)

C. Adam Schlosser is a researcher based at Massachusetts Institute of Technology. They specialize in Climate variability and models, Meteorological Phenomena and Simulations, and Climate Change Policy and Economics, with ongoing contributions to these areas. Their academic career is distinguished by over 8,341 citations, demonstrating their leading role in the global research community. With a formidable H-index of 40, C. Adam Schlosser continues to drive innovation in their area of expertise.

Research Areas

Climate variability and modelsMeteorological Phenomena and SimulationsClimate Change Policy and EconomicsAtmospheric and Environmental Gas DynamicsWater-Energy-Food Nexus Studies

Academic Impact Matrix

Research output metrics for C. Adam Schlosser aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations16,682

Top 15% in field

Publications360

Highly prolific researcher

h-index40

Established scholar

i10-index70

Growing portfolio

Lab Environment

No lab data yet for C. Adam Schlosser

+ 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.