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D-Index & Metrics

Mathematics

D-Index
53
Citations
37484
World Ranking
865
National Ranking
415

Overview

Sheldon M. Ross is affiliated with the University of Southern California in the United States. Their research spans multiple fields including Mathematics, Computer Science, and Decision Sciences, with a focus on several subfields such as Management Science and Operations Research, Statistics and Probability, Artificial Intelligence, Economics and Econometrics, and Mathematical Physics.

The scientist's work covers a range of main topics including Advanced Bandit Algorithms Research, Bayesian Methods and Mixture Models, Stochastic Processes and Statistical Mechanics, Probability and Statistical Research, Optimization and Search Problems, Auction Theory and Applications, and Statistical Methods and Bayesian Inference.

Recent papers authored or co-authored by Sheldon M. Ross include:

  • "Team's seasonal win probabilities," 2021, published in Probability in the Engineering and Informational Sciences
  • "Technical Note-A Stochastic Assignment Problem with Unknown Eligibility Probabilities," 2020, published in Operations Research

Frequent co-authors associated with Sheldon M. Ross include:

  • Erol A. Peköz
  • Zhengyu Zhang
  • Michael N. Katehakis
  • Zhengu Zhang
  • Wesley Cowan

Publishing venues where Sheldon M. Ross frequently contributes include:

  • Probability in the Engineering and Informational Sciences
  • Operations Research Letters
  • arXiv (Cornell University)
  • Annals of Operations Research
  • Advances in Applied Probability

Among published books, Sheldon M. Ross is credited with a title published by Cambridge University Press:

  • A Second Course in Probability, 2023

This book has accumulated citations reflecting its academic reach.

Best Publications

  • Stochastic Processes

    Sheldon M. Ross

  • Introduction to probability models

    Sheldon M. Ross

  • Applied Probability Models with Optimization Applications

    Sheldon M. Ross

  • A First Course in Probability

    Sheldon M. Ross

  • Introduction to Stochastic Dynamic Programming

    Sheldon M. Ross

  • Introduction to Probability and Statistics for Engineers and Scientists

    Sheldon M. Ross

  • A Course in Simulation

    Sheldon M. Ross

  • Introduction to Probability Models.

    A. Csenki;S. M. Ross

  • An Optimal Algorithm for Monte Carlo Estimation

    Paul Dagum;Richard Karp;Michael Luby;Sheldon Ross

  • On the Consecutive-k-of-n:F System

    Cyrus Derman;Gerald J. Lieberman;Sheldon M. Ross

  • Introducción a la estadística

    Sheldon M. Ross

  • An elementary introduction to mathematical finance

    Sheldon M. Ross

  • A random graph

    Sheldon M. Ross

  • Quality Control under Markovian Deterioration

    Sheldon M. Ross

  • A Sequential Stochastic Assignment Problem

    Gerald J Lieberman;Sheldon M Ross;Cyrus Derman

  • Probability Models for Computer Science

    Sheldon M. Ross

  • Multivalued State Component Systems

    Sheldon M. Ross

  • Approximations in Finite Capacity Multi-Server Queues with Poisson Arrivals

    Shirley A Nozaki;Sheldon M Ross

  • Introductory Statistics

    Sheldon M. Ross

  • Introduction to Probability Models (4th ed.).

    Roger Carlson;Sheldon M. Ross

  • A First Course in Probability

    Marius Iosifescu;Sheldon Ross

Frequent Co-Authors

Richard M. Karp
Richard M. Karp University of California, Berkeley
J. George Shanthikumar
J. George Shanthikumar Purdue University West Lafayette
Michael Luby
Michael Luby BitRipple
Chi-Hyuck Jun
Chi-Hyuck Jun Pohang University of Science and Technology
Gideon Weiss
Gideon Weiss University of Haifa
Shmuel S. Oren
Shmuel S. Oren University of California, Berkeley
Michael Pinedo
Michael Pinedo New York University
Noga Alon
Noga Alon Tel Aviv University
Steven A. Lippman
Steven A. Lippman University of California, Los Angeles
Xiuli Chao
Xiuli Chao University of Michigan–Ann Arbor

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