World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
9654
World Ranking
1457
National Ranking
26

Engineering and Technology

D-Index
45
Citations
9744
World Ranking
5388
National Ranking
84

Daniel Kuhn 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 Kuhn 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: 126 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Daniel Kuhn 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 Kuhn 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: 45 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Daniel Kuhn is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans the fields of Decision Sciences and Engineering, with a strong emphasis on Management Science and Operations Research, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, and Statistics and Probability.

The scientist's primary research topics include:

  • Risk and Portfolio Optimization
  • Probabilistic and Robust Engineering Design
  • Electric Power System Optimization
  • Auction Theory and Applications
  • Point processes and geometric inequalities
  • Water resources management and optimization
  • Energy, Environment, and Transportation Policies

Daniel Kuhn's recent publications include:

  • "Energy and reserve dispatch with distributionally robust joint chance constraints," 2021, published in Operations Research Letters
  • "Technical Note-Data-Driven Chance Constrained Programs over Wasserstein Balls," 2022, published in Operations Research
  • "Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization," 2021, published in Mathematics of Operations Research
  • "Robust multidimensional pricing: separation without regret," 2021, published in Mathematical Programming
  • "On linear optimization over Wasserstein balls," 2021, published in Mathematical Programming

Their coauthors frequently include Bahar Taşkesen, Wolfram Wiesemann, Soroosh Shafieezadeh-Abadeh, Çağıl Koçyiğit, and Tobias Sutter.

Daniel Kuhn's work has appeared in a range of publication venues, with multiple papers published in:

  • arXiv (Cornell University)
  • Zeitschrift für Württembergische Landesgeschichte
  • Operations Research
  • Mathematical Programming
  • SSRN Electronic Journal

In addition to articles, the scientist has also contributed to book publications, including at least one book titled "Binnenkonflikte unabhängiger Stellen der Verwaltung im Regulierungs- und Kartellrecht," published by DUNCKER UND HUMBLOT eBooks in 2022.

Best Publications

  • Data-Driven Distributionally Robust Optimization Using the Wasserstein Metric: Performance Guarantees and Tractable Reformulations

    Peyman Mohajerin Esfahani;Daniel Kuhn

  • Distributionally Robust Convex Optimization

    Wolfram Wiesemann;Daniel Kuhn;Melvyn Sim

  • Distributionally robust joint chance constraints with second-order moment information

    Steve Zymler;Daniel Kuhn;Berç Rustem

  • Robust Markov Decision Processes

    Wolfram Wiesemann;Daniel Kuhn;Berç Rustem

  • Primal and dual linear decision rules in stochastic and robust optimization

    Daniel Kuhn;Wolfram Wiesemann;Angelos Georghiou

  • Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning

    Daniel Kuhn;Peyman Mohajerin Esfahani;Viet Anh Nguyen;Soroosh Shafieezadeh-Abadeh

  • Embedding large subgraphs into dense graphs

    Daniela Kühn;Deryk Osthus

  • Distributionally robust logistic regression

    Soroosh Shafieezadeh-Abadeh;Peyman Mohajerin Esfahani;Daniel Kuhn

  • Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls

    Grani Adiwena Hanasusanto;Daniel Kuhn

  • Generalized decision rule approximations for stochastic programming via liftings

    Angelos Georghiou;Wolfram Wiesemann;Daniel Kuhn

  • K-Adaptability in Two-Stage Robust Binary Programming

    Grani Adiwena Hanasusanto;Daniel Kuhn;Wolfram Wiesemann

  • A distributionally robust perspective on uncertainty quantification and chance constrained programming

    Grani A. Hanasusanto;Vladimir Roitch;Daniel Kuhn;Wolfram Wiesemann

  • Distributionally Robust Control of Constrained Stochastic Systems

    Bart P. G. Van Parys;Daniel Kuhn;Paul J. Goulart;Manfred Morari

  • Distributionally robust multi-item newsvendor problems with multimodal demand distributions

    Grani A. Hanasusanto;Daniel Kuhn;Stein W. Wallace;Steve Zymler

  • Worst-Case Value at Risk of Nonlinear Portfolios

    Steve Zymler;Daniel Kuhn;Berç Rustem

  • Ambiguous Joint Chance Constraints Under Mean and Dispersion Information

    Grani Adiwena Hanasusanto;Vladimir Roitch;Daniel Kuhn;Wolfram Wiesemann

  • Regularization via Mass Transportation

    Soroosh Shafieezadeh-Abadeh;Daniel Kuhn;Peyman Mohajerin Esfahani

  • From data to decisions: Distributionally robust optimization is optimal

    Bart P. G. Van Parys;Peyman Mohajerin Esfahani;Daniel Kuhn

  • Maximizing the net present value of a project under uncertainty

    Wolfram Wiesemann;Daniel Kuhn;Berç Rustem

  • Data-driven inverse optimization with imperfect information

    Peyman Mohajerin Esfahani;Soroosh Shafieezadeh-Abadeh;Grani Adiwena Hanasusanto;Daniel Kuhn

Frequent Co-Authors

Berç Rustem
Berç Rustem Imperial College London
Paul J. Goulart
Paul J. Goulart University of Oxford
Wayne Luk
Wayne Luk Imperial College London
John Lygeros
John Lygeros ETH Zurich
Afzal S. Siddiqui
Afzal S. Siddiqui Stockholm University
Manfred Morari
Manfred Morari University of Pennsylvania
David G. Luenberger
David G. Luenberger Stanford University
Pierre Pinson
Pierre Pinson Technical University of Denmark
Stein W. Wallace
Stein W. Wallace Norwegian School of Economics
Peter Pietzuch
Peter Pietzuch Imperial College London

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