World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7428
World Ranking
9671
National Ranking
4093

Mathematics

D-Index
39
Citations
7238
World Ranking
2170
National Ranking
916

Research.com Recognitions

  • 2016 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Sanjay Mehrotra is affiliated with Northwestern University in the United States. Their research primarily spans the field of Medicine with a focus on Management Science and Operations Research, Public Health, Environmental and Occupational Health, Control and Systems Engineering, Transplantation, and Surgery.

Their research topics include Risk and Portfolio Optimization, Optimization and Mathematical Programming, Renal Transplantation Outcomes and Treatments, Organ Donation and Transplantation, Organ Transplantation Techniques and Outcomes, Liver Disease and Transplantation, and Liver Disease Diagnosis and Treatment.

Sanjay Mehrotra has contributed to several publications, including recent papers such as:

  • A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19, 2020, Naval Research Logistics (NRL)
  • Frameworks and Results in Distributionally Robust Optimization, 2022, Open Journal of Mathematical Optimization
  • Distributionally robust optimization with decision dependent ambiguity sets, 2020, Optimization Letters
  • Predicting Kidney Discard Using Machine Learning, 2021, Transplantation
  • Patient Preferences for Waiting Time and Kidney Quality, 2022, Clinical Journal of the American Society of Nephrology

The most frequent co-authors in their research include:

  • John J. Friedewald
  • Daniela P. Ladner
  • Karolina Schantz
  • Lihui Zhao
  • Masoud Barah

Common publication venues for their work include:

  • arXiv (Cornell University)
  • Naval Research Logistics (NRL)
  • Clinical Journal of the American Society of Nephrology
  • American Journal of Transplantation
  • SIAM Journal on Optimization

Regarding recognition, Sanjay Mehrotra was awarded the title of Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2016.

Best Publications

  • On the Implementation of a Primal-Dual Interior Point Method

    Sanjay Mehrotra

  • A branch-and-cut method for 0-1 mixed convex programming

    Robert A. Stubbs;Sanjay Mehrotra

  • Distributionally Robust Optimization: A Review

    Hamed Rahimian;Sanjay Mehrotra

  • Robust Distribution Network Reconfiguration

    Changhyeok Lee;Cong Liu;Sanjay Mehrotra;Zhaohong Bie

  • A Two-Stage Stochastic Integer Programming Approach to Integrated Staffing and Scheduling with Application to Nurse Management

    Kibaek Kim;Sanjay Mehrotra

  • Frameworks and Results in Distributionally Robust Optimization

    Unknown

  • Finding an interior point in the optimal face of linear programs

    Sanjay Mehrotra;Yinyu Ye

  • Solving symmetric indefinite systems in an interior-point method for linear programming

    Robert Fourer;Sanjay Mehrotra

  • On finding a vertex solution using interior point methods

    Sanjay Mehrotra

  • PCx: an interior-point code for linear programming

    Joseph Czyzyk;Sanjay Mehrotra;Michael Wagner;Stephen J. Wright

  • Modeling transmission line constraints in two-stage robust unit commitment problem

    Changhyeok Lee;Cong Liu;Sanjay Mehrotra;Mohammad Shahidehpour

  • Sample average approximation of stochastic dominance constrained programs

    Jian Hu;Tito Homem-de-Mello;Sanjay Mehrotra

  • Quadratic convergence in a primal-dual method

    Sanjay Mehrotra

  • A Cutting-Surface Method for Uncertain Linear Programs with Polyhedral Stochastic Dominance Constraints

    Tito Homem-de-Mello;Sanjay Mehrotra

  • PCx user guide

    J. Czyzyk;S. Mehrotra;S.J. Wright

  • A cutting surface algorithm for semi-infinite convex programming with an application to moment robust optimization

    Sanjay Mehrotra;Dávid Papp;Dávid Papp

  • Distributionally robust optimization with decision dependent ambiguity sets

    Fengqiao Luo;Sanjay Mehrotra

  • An algorithm for convex quadratic programming that requires O ( n 3.5 L ) arithmetic operations

    S. Mehrotra;J. Sun

  • Robust and Stochastically Weighted Multiobjective Optimization Models and Reformulations

    Jian Hu;Sanjay Mehrotra

  • A general parametric analysis approach and its implication to sensitivity analysis in interior point methods

    Renato D. C. Monteiro;Sanjay Mehrotra

  • A Model for Supply-Chain Decisions for Resource Sharing with an Application to Ventilator Allocation to Combat COVID-19

    Sanjay Mehrotra;Hamed Rahimian;Masoud Barah;Fengqiao Luo

Frequent Co-Authors

Mark S. Daskin
Mark S. Daskin University of Michigan–Ann Arbor
Michael Abecassis
Michael Abecassis University of Arizona
Eleftherios T. Papoutsakis
Eleftherios T. Papoutsakis University of Delaware
Bruce Kaplan
Bruce Kaplan University of Colorado Anschutz Medical Campus
Donald M. Lloyd-Jones
Donald M. Lloyd-Jones Northwestern University
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Donald Goldfarb
Donald Goldfarb Columbia University
Debra A. DaRosa
Debra A. DaRosa Northwestern University
Vassily Hatzimanikatis
Vassily Hatzimanikatis École Polytechnique Fédérale de Lausanne
Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology

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