World's Best Scientists 2026 revealed!
Benjamin Doerr

Benjamin Doerr

D-Index & Metrics

Computer Science

D-Index
58
Citations
11201
World Ranking
3688
National Ranking
66

Benjamin Doerr publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Benjamin Doerr sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 359 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Benjamin Doerr D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Benjamin Doerr sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 58 D-Index — 75th percentile

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

The last bar groups every scientist with 131 D-Index or more.

Overview

Benjamin Doerr is affiliated with École Polytechnique in France and has contributed extensively to the field of computer science, particularly in the study of evolutionary algorithms and optimization methods. Their work spans numerous subfields, with a strong focus on artificial intelligence and computational theory.

The main fields of study for Benjamin Doerr include:

  • Computer Science

Within this broad domain, their research concentrates on the following subfields:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Management Science and Operations Research

The primary topics addressed in Benjamin Doerr's research are:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications
  • Advanced Control Systems Optimization
  • Machine Learning and Algorithms
  • Data Stream Mining Techniques
  • Gene Regulatory Network Analysis

Recent papers authored or coauthored by Benjamin Doerr include the following:

  • A First Runtime Analysis of the NSGA-II on a Multimodal Problem, 2023, IEEE Transactions on Evolutionary Computation
  • Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms, 2020, IEEE Transactions on Evolutionary Computation
  • Does Comma Selection Help to Cope with Local Optima?, 2022, Algorithmica

Benjamin Doerr has collaborated frequently with several researchers, including:

  • Weijie Zheng
  • Martin S. Krejca
  • Denis Antipov
  • Maxim Buzdalov
  • Quentin Renau

The research output by Benjamin Doerr has appeared in various publication venues, emphasizing venues with repeated contributions:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • Algorithmica
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Proceedings of the AAAI Conference on Artificial Intelligence

Best Publications

  • Why rumors spread so quickly in social networks

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Theory of Randomized Search Heuristics: Foundations and Recent Developments

    Anne Auger;Benjamin Doerr

  • Multiplicative Drift Analysis

    Benjamin Doerr;Daniel Johannsen;Carola Winzen

  • Fast genetic algorithms

    Benjamin Doerr;Huu Phuoc Le;Régis Makhmara;Ta Duy Nguyen

  • Crossover can provably be useful in evolutionary computation

    Benjamin Doerr;Edda Happ;Christian Klein

  • From black-box complexity to designing new genetic algorithms

    Benjamin Doerr;Carola Doerr;Franziska Ebel

  • Optimal parameter choices via precise black-box analysis

    Benjamin Doerr;Carola Doerr;Jing Yang

  • Probabilistic Tools for the Analysis of Randomized Optimization Heuristics.

    Benjamin Doerr

  • Optimal fixed and adaptive mutation rates for the leadingones problem

    Süntje Böttcher;Benjamin Doerr;Frank Neumann

  • Optimal Static and Self-Adjusting Parameter Choices for the $$(1+(\lambda ,\lambda ))$$ Genetic Algorithm

    Benjamin Doerr;Carola Doerr

  • Social Networks Spread Rumors in Sublogarithmic Time

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Social networks spread rumors in sublogarithmic time

    Benjamin Doerr;Mahmoud Fouz;Tobias Friedrich

  • Theory of Evolutionary Computation: Recent Developments in Discrete Optimization

    Unknown

  • Adaptive Drift Analysis

    Benjamin Doerr;Leslie Ann Goldberg

  • Theory of evolutionary computation : recent developments in discrete optimization

    Benjamin Doerr;Frank Neumann

  • Stabilizing consensus with the power of two choices

    Benjamin Doerr;Leslie Ann Goldberg;Lorenz Minder;Thomas Sauerwald

  • Analyzing randomized search heuristics via stochastic domination

    Benjamin Doerr

  • Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices

    Benjamin Doerr;Carola Doerr

  • Analyzing Randomized Search Heuristics: Tools from Probability Theory.

    Benjamin Doerr

  • Quasirandom rumor spreading

    Benjamin Doerr;Tobias Friedrich;Thomas Sauerwald

  • Quasirandom Rumor Spreading: Expanders, Push vs. Pull, and Robustness

    Benjamin Doerr;Tobias Friedrich;Thomas Sauerwald

Frequent Co-Authors

Tobias Friedrich
Tobias Friedrich Hasso Plattner Institute
Frank Neumann
Frank Neumann University of Adelaide
Carsten Witt
Carsten Witt Technical University of Denmark
Joel Spencer
Joel Spencer Courant Institute of Mathematical Sciences
Dirk Sudholt
Dirk Sudholt University of Sheffield
Leslie Ann Goldberg
Leslie Ann Goldberg University of Oxford
Thomas Jansen
Thomas Jansen Aberystwyth University
Kurt Mehlhorn
Kurt Mehlhorn Max Planck Institute for Informatics
Gábor Tardos
Gábor Tardos Alfréd Rényi Institute of Mathematics
Christian Klein
Christian Klein Roche (Switzerland)

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