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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
81
Citations
39770
World Ranking
133
National Ranking
76

Engineering and Technology

D-Index
78
Citations
36781
World Ranking
586
National Ranking
201

Alexander Shapiro 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 Alexander Shapiro 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: 82 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: 240 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Alexander Shapiro 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 Alexander Shapiro 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: 137 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: 81 D-Index — 96th percentile

96% 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

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2021 - INFORMS John von Neumann Theory Prize
  • 2020 - Member of the National Academy of Engineering For contributions to the theory, computation, and application of stochastic programming.
  • 2018 - Dantzig Prize, by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS)
  • 2013 - Khachiyan Prize of the INFORMS Optimization Society

Overview

Alexander Shapiro is a researcher affiliated with the Georgia Institute of Technology in the United States. Their work primarily focuses on decision sciences and engineering, with a specialization in management science and operations research, control and systems engineering, computational theory and mathematics, statistics and probability, and economics and econometrics.

The main topics they address in their research include:

  • Risk and Portfolio Optimization
  • Fuzzy Systems and Optimization
  • Sparse and Compressive Sensing Techniques
  • Optimization and Variational Analysis
  • Optimization and Mathematical Programming
  • Water resources management and optimization
  • Economic theories and models

Alexander Shapiro has published research in various academic venues, frequently contributing to:

  • arXiv (Cornell University)
  • Operations Research
  • Operations Research Letters
  • SIAM Journal on Optimization
  • European Journal of Operational Research

Recent notable publications include:

  • "Tutorial on risk neutral, distributionally robust and risk averse multistage stochastic programming," 2020, European Journal of Operational Research
  • "Bayesian Distributionally Robust Optimization," 2023, SIAM Journal on Optimization
  • "Duality and sensitivity analysis of multistage linear stochastic programs," 2022, European Journal of Operational Research
  • "Technical Note-Time Inconsistency of Optimal Policies of Distributionally Robust Inventory Models," 2020, Operations Research
  • "Mathematical Foundations of Distributionally Robust Multistage Optimization," 2021, SIAM Journal on Optimization

Frequent co-authors in Shapiro's work include Andrzej Ruszczyński, Enlu Zhou, Yi Cheng, Alois Pichler, and Vincent Guigues.

Alexander Shapiro has published a book titled Lectures on Stochastic Programming: Modeling and Theory, Third Edition with the Society for Industrial and Applied Mathematics in 2021.

Awards received by Alexander Shapiro include:

  • Member of the National Academy of Engineering (2020), recognized for contributions to the theory, computation, and application of stochastic programming
  • Dantzig Prize by the Society for Industrial and Applied Mathematics (SIAM) and the Mathematical Optimization Society (MOS) in 2018
  • Khachiyan Prize of the INFORMS Optimization Society in 2013

Best Publications

  • Lectures on Stochastic Programming: Modeling and Theory

    Alexander Shapiro;Darinka Dentcheva;Andrzej P. Ruszczyński

  • Perturbation Analysis of Optimization Problems

    J Frédéric Bonnans;Alexander Shapiro

  • Robust Stochastic Approximation Approach to Stochastic Programming

    A. Nemirovski;A. Juditsky;G. Lan;A. Shapiro

  • The Sample Average Approximation Method for Stochastic Discrete Optimization

    Anton J. Kleywegt;Alexander Shapiro;Tito Homem-de-Mello

  • Stochastic Approximation approach to Stochastic Programming

    Anatoli Juditsky;Guanghui Lan;Arkadii S. Nemirovski;Alexander Shapiro

  • A stochastic programming approach for supply chain network design under uncertainty

    Tjendera Santoso;Shabbir Ahmed;Marc Goetschalckx;Alexander Shapiro

  • Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices

    Suleyman Basak;Alexander Shapiro

  • Convex Approximations of Chance Constrained Programs

    Arkadi Nemirovski;Alexander Shapiro

  • Monte Carlo Sampling Methods

    Alexander Shapiro

  • On the multivariate asymptotic distribution of sequential Chi-square statistics.

    James H. Steiger;Alexander Shapiro;Michael W. Browne

  • Sample Average Approximation Method for Chance Constrained Programming: Theory and Applications

    Bernardo K. Pagnoncelli;Shabbir Ahmed;Alexander Shapiro

  • Optimization of Convex Risk Functions

    Andrzej Ruszczyński;Alexander Shapiro

  • The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study

    Bram Verweij;Shabbir Ahmed;Anton J. Kleywegt;George Nemhauser

  • Analysis of stochastic dual dynamic programming method

    Alexander Shapiro

  • Stochastic Programming Models

    Andrzej Ruszczyński;Alexander Shapiro

  • On Complexity of Stochastic Programming Problems

    Alexander Shapiro;Arkadi Nemirovski

  • Lectures on Stochastic Programming: Modeling and Theory, Second Edition

    Alexander Shapiro;Darinka Dentcheva;Andrzej Ruszczynski

  • The empirical behavior of sampling methods for stochastic programming

    Jeff T. Linderoth;Alexander Shapiro;Stephen J. Wright

  • On the Rate of Convergence of Optimal Solutions of Monte Carlo Approximations of Stochastic Programs

    Alexander Shapiro;Tito Homem-de-Mello

  • A simulation-based approach to two-stage stochastic programming with recourse

    Alexander Shapiro;Tito Homem-de-Mello

  • Production, Manufacturing and Logistics A stochastic programming approach for supply chain network design under uncertainty

    Tjendera Santoso;Shabbir Ahmed;Marc Goetschalckx;Alexander Shapiro

Frequent Co-Authors

Andrzej Ruszczyński
Andrzej Ruszczyński Rutgers, The State University of New Jersey
Shabbir Ahmed
Shabbir Ahmed Georgia Institute of Technology
Michael W. Browne
Michael W. Browne The Ohio State University
Suleyman Basak
Suleyman Basak London Business School
Arkadi Nemirovski
Arkadi Nemirovski Georgia Institute of Technology
Stan Uryasev
Stan Uryasev Stony Brook University
Jos M. F. ten Berge
Jos M. F. ten Berge University of Groningen
Roberto Cominetti
Roberto Cominetti Adolfo Ibáñez University
Guanghui Lan
Guanghui Lan Georgia Institute of Technology
Michael Beenstock
Michael Beenstock Hebrew University of Jerusalem

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