World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
22648
World Ranking
3260
National Ranking
132

Engineering and Technology

D-Index
31
Citations
23468
World Ranking
9626
National Ranking
384

Martin L. Puterman publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Martin L. Puterman sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 109 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Martin L. Puterman D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Martin L. Puterman sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2006 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Martin L. Puterman is affiliated with the University of British Columbia in Canada. Their research spans multiple fields, primarily focusing on economics, econometrics, finance, and computer science. They have contributed to several subfields, including economics and econometrics, artificial intelligence, information systems, management science and operations research, as well as orthopedics and sports medicine.

The primary topics addressed in Puterman's work include sports analytics and performance, reinforcement learning in robotics, software engineering research, Bayesian modeling and causal inference, forecasting techniques and applications, and sports performance and training.

Puterman has published papers in several notable venues such as Operations Research, The Annals of Applied Statistics, and arXiv (Cornell University). Some of their recent papers are:

  • Points Gained in Football: Using Markov Process-Based Value Functions to Assess Team Performance, 2021, Operations Research
  • Learning Risk Preferences in Markov Decision Processes: an Application to the Fourth Down Decision in the National Football League, 2023, arXiv (Cornell University)
  • Learning risk preferences in Markov decision processes: An application to the fourth down decision in the national football league, 2024, The Annals of Applied Statistics

Frequent co-authors collaborating with Puterman include:

  • Timothy C. Y. Chan
  • Nathan Sandholtz
  • Lucas Wu
  • Craig Fernandes

Martin L. Puterman was awarded the distinction of Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2006.

Best Publications

  • Markov Decision Processes: Discrete Stochastic Dynamic Programming

    Martin L. Puterman

  • Encyclopedia of Machine Learning and Data Mining

    Unknown

  • Dynamic Multipriority Patient Scheduling for a Diagnostic Resource

    Jonathan Patrick;Martin L. Puterman;Maurice Queyranne

  • Modified Policy Iteration Algorithms for Discounted Markov Decision Problems

    Martin L. Puterman;Moon Chirl Shin

  • Chapter 8 Markov decision processes

    Martin L. Puterman

  • Maximum-Penalized-Likelihood Estimation for Independent and Markov-Dependent Mixture Models

    Brian G. Leroux;Martin L. Puterman

  • Deep Belief Networks

    Unknown

  • Mixed Poisson regression models with covariate dependent rates.

    Peiming Wang;Martin L. Puterman;Iain Cockburn;Nhu Le

  • The Censored Newsvendor and the Optimal Acquisition of Information

    Xiaomei Ding;Martin L. Puterman;Arnab Bisi

  • Reducing patient wait times and improving resource utilization at British Columbia Cancer Agency’s ambulatory care unit through simulation

    Pablo Santibáñez;Vincent S. Chow;John French;Martin L. Puterman

  • Dynamic multi-appointment patient scheduling for radiation therapy

    Antoine Sauré;Jonathan Patrick;Scott Tyldesley;Martin L. Puterman

  • Analysis of Patent Data—A Mixed-Poisson-Regression-Model Approach

    Peiming Wang;lain M. Cockburn;Martin L. Puterman

  • On the Convergence of Policy Iteration in Stationary Dynamic Programming

    Martin L. Puterman;Shelby L. Brumelle

  • Reducing Surgical Ward Congestion Through Improved Surgical Scheduling and Uncapacitated Simulation

    Vincent S. Chow;Martin L. Puterman;Neda Salehirad;Wenhai Huang

  • Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking

    Yasin Gocgun;Martin L. Puterman

  • Improving resource utilization for diagnostic services through flexible inpatient scheduling: A method for improving resource utilization

    Jonathan Patrick;Martin L. Puterman

  • A Simulation Optimization Approach to Long-Term Care Capacity Planning

    Yue Zhang;Martin L. Puterman;Matthew Nelson;Derek Atkins

  • Optimal strategies in sports

    Martin L. Puterman;Shaul P. Ladany;Robert E. Machol

  • Prophylaxis of urinary tract infection in persons with recent spinal cord injury: A prospective, randomized, double-blind, placebo-controlled study of trimethoprim-sulfamethoxazole

    Marie J. Gribble;Martin L. Puterman

  • Reducing Wait Times through Operations Research: Optimizing the Use of Surge Capacity.

    Jonathan Patrick;Martin L Puterman

  • Mixed logistic regression models

    Peiming Wang;Martin L. Puterman

  • Collinearity in generalized linear models

    Murray J. Mackinnon;Martin L. Puterman

Frequent Co-Authors

Pamela A. Ratner
Pamela A. Ratner University of British Columbia
Sheila M. Innis
Sheila M. Innis University of British Columbia
Iain M. Cockburn
Iain M. Cockburn Boston University
Lyn C. Thomas
Lyn C. Thomas University of Southampton
Christian Kollmannsberger
Christian Kollmannsberger University of British Columbia
Pierre L'Ecuyer
Pierre L'Ecuyer University of Montreal
Maurice Queyranne
Maurice Queyranne University of British Columbia
Edward A. Clark
Edward A. Clark University of Washington
Hans D. Ochs
Hans D. Ochs University of Washington
Ivo A. Olivotto
Ivo A. Olivotto University of Calgary

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students studying Mathematics in the USA, exploring related online degrees can expand career opportunities beyond traditional roles. Many graduates combine their analytical skills with business expertise by pursuing an cheapest online marketing degree, which offers an affordable way to enter the marketing field with strong data analysis capabilities.

Alternatively, ambitious professionals often consider fast-tracking their education through 1 year MBA programs in USA. These programs are designed to deliver comprehensive business knowledge in a condensed format, perfectly complementing a math background for roles in finance, consulting, or management.

For those looking to continue graduate studies while maximizing previous academic credits, many online MBA options offer flexible admissions with mba transfer credits. This flexibility can save time and tuition costs, making advanced education more accessible.

Lastly, the growing field of data science is closely linked to mathematics. Pursuing one of the best masters in data analytics programs prepares graduates for high-demand careers leveraging big data, predictive modeling, and statistical analysis.

Best Scientists Citing Martin L. Puterman

Trending Scientists

Recently Published Articles