World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
12255
World Ranking
9513
National Ranking
230

Anne Auger 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 Anne Auger 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Anne Auger 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 Anne Auger 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Anne Auger is affiliated with École Polytechnique in France and has contributed extensively to the fields of Computer Science and Engineering. Their research spans several subfields, including Artificial Intelligence, Computational Theory and Mathematics, Control and Systems Engineering, Statistics, Probability and Uncertainty, and Civil and Structural Engineering.

Their main research topics include Probabilistic and Robust Engineering Design, Advanced Multi-Objective Optimization Algorithms, Control Systems and Identification, Metaheuristic Optimization Algorithms Research, Neural Networks and Applications, Advanced Adaptive Filtering Techniques, and Stochastic Processes and Financial Applications.

Anne Auger has published papers in various venues, with frequent contributions to:

  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Stochastic Processes and their Applications
  • ACM SIGEVOlution

Selected recent publications include:

  • "An ODE method to prove the geometric convergence of adaptive stochastic algorithms", 2021, Stochastic Processes and their Applications
  • "A SIGEVO impact award for a paper arising from the COCO platform", 2021, ACM SIGEVOlution
  • "Scaling-invariant functions versus positively homogeneous functions", 2021, arXiv (Cornell University)
  • "Benchmarking", 2021, Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • "Preface to the Special Issue on Theory of Genetic and Evolutionary Computation", 2021, Algorithmica

Collaborations with other researchers characterize Anne Auger's work. Frequent co-authors include Nikolaus Hansen, Armand Gissler, Dimo Brockhoff, Alexandre Chotard, and Youhei Akimoto.

Best Publications

  • Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

    P. N. Suganthan;N. Hansen;J. J. Liang;K. Deb

  • A restart CMA evolution strategy with increasing population size

    A. Auger;N. Hansen

  • Markov chain analysis of cumulative step-size adaptation on a linear constrained problem

    Alexandre Chotard;Anne Auger;Nikolaus Hansen

  • Real-Parameter Black-Box Optimization Benchmarking 2009: Experimental Setup

    Nikolaus Hansen;Anne Auger;Raymond Ros

  • Real-Parameter Black-Box Optimization Benchmarking 2009: Noiseless Functions Definitions

    Nikolaus Hansen;Raymond Ros;Anne Auger

  • Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009

    Nikolaus Hansen;Anne Auger;Raymond Ros;Steffen Finck

  • COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

    Nikolaus Hansen;Anne Auger;Olaf Mersmann;Tea Tusar

  • Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point

    Anne Auger;Johannes Bader;Dimo Brockhoff;Eckart Zitzler

  • Theory of Randomized Search Heuristics: Foundations and Recent Developments

    Anne Auger;Benjamin Doerr

  • Performance evaluation of an advanced local search evolutionary algorithm

    A. Auger;N. Hansen

  • Evolution Strategies

    Unknown

  • Information-geometric optimization algorithms: a unifying picture via invariance principles

    Yann Ollivier;Ludovic Arnold;Anne Auger;Nikolaus Hansen

  • Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications

    Anne Auger;Johannes Bader;Dimo Brockhoff;Eckart Zitzler

  • COCO: a platform for comparing continuous optimizers in a black-box setting

    Nikolaus Hansen;Anne Auger;Raymond Ros;Olaf Mersmann

  • Convergence results for the (1, λ)-SA-ES using the theory of ϕ-irreducible Markov chains

    Anne Auger

  • Impacts of invariance in search: When CMA-ES and PSO face ill-conditioned and non-separable problems

    Nikolaus Hansen;Raymond Ros;Nikolas Mauny;Marc Schoenauer

  • Well placement optimization with the covariance matrix adaptation evolution strategy and meta-models

    Zyed Bouzarkouna;Zyed Bouzarkouna;Didier Yu Ding;Anne Auger

  • R-leaping: Accelerating the stochastic simulation algorithm by reaction leaps

    Anne Auger;Philippe Chatelain;Petros Koumoutsakos

  • Principled Design of Continuous Stochastic Search: From Theory to Practice

    Nikolaus Hansen;Anne Auger

  • Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms

    Anne Auger;Olivier Teytaud

  • Theory of Randomized Search Heuristics

    Anne Auger;Carsten Witt

  • Experimental Comparisons of Derivative Free Optimization Algorithms

    A. Auger;N. Hansen;J. M. Perez Zerpa;R. Ros

Frequent Co-Authors

Nikolaus Hansen
Nikolaus Hansen École Polytechnique
Dimo Brockhoff
Dimo Brockhoff French Institute for Research in Computer Science and Automation - INRIA
Marc Schoenauer
Marc Schoenauer French Institute for Research in Computer Science and Automation - INRIA
Olivier Teytaud
Olivier Teytaud Facebook (United States)
Eckart Zitzler
Eckart Zitzler Lucerne University of Applied Sciences and Arts
Carsten Witt
Carsten Witt Technical University of Denmark
Conor Ryan
Conor Ryan University of Limerick
Benjamin Doerr
Benjamin Doerr École Polytechnique
Petros Koumoutsakos
Petros Koumoutsakos Harvard University

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