AcaRevival Initiative

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

Read Manifesto →
DS

David B. Shmoys

Operations Research and Information Engineering

Cornell University

No ratings yetBe the first to rate
Loading...

About David B. Shmoys at Cornell University (Cornell)

Based at the Operations Research and Information Engineering Department of Cornell University, David B. Shmoys is an active contributor to academic research. Their scholarly work centers on optimization algorithms, scheduling problems, and approximation algorithms. With over 16,274 citations to their name, their contributions have had a measurable and lasting impact on the field. An H-index of 61 underscores the consistent quality and influence of their published research.

Research Areas

optimization algorithmsscheduling problemsapproximation algorithmscombinatorial optimizationonline algorithmsinventory managementnetwork flowsgraph algorithms

Academic Impact Matrix

Research output metrics for David B. Shmoys aggregated from public academic databases. Student lab experience data is pending.

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

Research Output

Total Citations16,274

Top 15% in field

Publications248

Highly prolific researcher

h-index61

Field leader

i10-index126

Broad impact

Lab Environment

No lab data yet for David B. Shmoys

+ 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.