World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7424
World Ranking
8830
National Ranking
3770

Mathematics

D-Index
40
Citations
7128
World Ranking
2044
National Ranking
864

Daniel Bienstock 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 Daniel Bienstock 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: 124 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Daniel Bienstock 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 Daniel Bienstock 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: 40 D-Index — 45th percentile

45% 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

  • 2013 - Fellow of the Institute for Operations Research and the Management Sciences (INFORMS)

Overview

Daniel Bienstock is affiliated with Columbia University in the United States and is recognized for contributions in the fields of Engineering and Computer Science. Their research primarily focuses on Electrical and Electronic Engineering, Computational Theory and Mathematics, Numerical Analysis, Control and Systems Engineering, and Management Science and Operations Research.

The scientist's prominent research topics include:

  • Electric Power System Optimization
  • Advanced Optimization Algorithms Research
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management
  • Multi-Criteria Decision Making
  • Energy Load and Power Forecasting
  • Formal Methods in Verification

Bienstock has contributed to various publication venues, with frequent appearances in:

  • arXiv (Cornell University)
  • Mathematical Programming
  • Discrete Optimization
  • IEEE Transactions on Energy Markets Policy and Regulation
  • Optimization and Engineering

Recent papers authored or co-authored by Daniel Bienstock include:

  • Principled deep neural network training through linear programming, 2023, published in Discrete Optimization
  • Mathematical programming formulations for the alternating current optimal power flow problem, 2022, published in Annals of Operations Research

The scientist often collaborates with researchers such as Yury Dvorkin, Robert Mieth, Alberto Del Pia, Matías Villagra, and Andreas M. Tillmann.

Bienstock is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS), an honor awarded in 2013.

Best Publications

  • Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty ∗

    Daniel Bienstock;Michael Chertkov;Sean Harnett

  • Computational study of a family of mixed-integer quadratic programming problems

    Daniel Bienstock

  • A note on the prize collecting traveling salesman problem

    Daniel Bienstock;Michel X. Goemans;David Simchi-Levi;David Williamson

  • Monotonicity in graph searching

    D. Bienstock;Paul Seymour

  • Capacitated Network Design—Polyhedral Structure and Computation

    Daniel Bienstock;Oktay Günlük

  • Minimum cost capacity installation for multicommodity network flows

    Daniel Bienstock;Sunil Chopra;Oktay Günlük;Chih-Yang Tsai

  • Potential Function Methods for Approximately Solving Linear Programming Problems: Theory and Practice

    Daniel Bienstock

  • The $N-k$ Problem in Power Grids: New Models, Formulations, and Numerical Experiments

    Daniel Bienstock;Abhinav Verma

  • Power Grid Vulnerability to Geographically Correlated Failures - Analysis and Control Implications

    Andrey Bernstein;Daniel Bienstock;David Hay;Meric Uzunoglu

  • Computing robust basestock levels

    Daniel Bienstock;Nuri ÖZbay

  • Graph Searching, Path-Width, Tree-Width and Related Problems (A Survey).

    Daniel Bienstock

  • Strong NP-hardness of AC power flows feasibility

    Daniel Bienstock;Abhinav Verma

  • On the complexity of testing for odd holes and induced odd paths

    Dan Bienstock

  • Quickly excluding a forest

    Dan Bienstock;Neil Robertson;Paul Seymour;Robin Thomas

  • Solving LP relaxations of large-scale precedence constrained problems

    Daniel Bienstock;Mark Zuckerberg

  • Using mixed-integer programming to solve power grid blackout problems

    Daniel Bienstock;Sara Mattia

  • Computational experience with a difficult mixed-integer multicommodity flow problem

    D. Bienstock;O. Günlük

  • Optimizing Resource Acquisition Decisions by Stochastic Programming

    Daniel Bienstock;Jeremy F. Shapiro

  • Some provably hard crossing number problems

    Daniel Bienstock

  • Optimal control of cascading power grid failures

    Daniel Bienstock

  • The N-k Problem in Power Grids: New Models, Formulations and Numerical Experiments (Extended Version)

    Daniel Bienstock;Abhinav Verma

Frequent Co-Authors

Michael Chertkov
Michael Chertkov University of Arizona
Russell Bent
Russell Bent Los Alamos National Laboratory
Gil Zussman
Gil Zussman Columbia University
Stephen J. Wright
Stephen J. Wright University of Wisconsin–Madison
Michael A. Langston
Michael A. Langston University of Tennessee at Knoxville
Paul Seymour
Paul Seymour Princeton University
George L. Nemhauser
George L. Nemhauser Georgia Institute of Technology
Scott Backhaus
Scott Backhaus Los Alamos National Laboratory
Ian A. Hiskens
Ian A. Hiskens University of Michigan–Ann Arbor

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