World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7050
World Ranking
11100
National Ranking
556

Günter Rudolph 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 Günter Rudolph 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 175 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Günter Rudolph 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 Günter Rudolph sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 36 D-Index — 23rd percentile

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

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

Overview

Günter Rudolph is affiliated with TU Dortmund University in Germany and conducts research primarily at the intersection of computer science, medicine, and biochemistry, genetics, and molecular biology. Their work spans multiple fields, notably computational theory and mathematics, artificial intelligence, molecular biology, genetics, and computer vision and pattern recognition.

Their research focuses on several key topics, including advanced multi-objective optimization algorithms, metaheuristic optimization algorithms research, music technology and sound studies, music and audio processing, corneal surgery and disorders, advanced control systems optimization, and scheduling and optimization algorithms.

Recent published papers by Günter Rudolph include:

  • Diagnosis of Inherited Retinal Diseases, 2021, Klinische Monatsblätter für Augenheilkunde
  • Gene Therapy for Inherited Retinal Disorders: Update on Clinical Trials, 2021, Klinische Monatsblätter für Augenheilkunde
  • Vitamin B12 in Leber hereditary optic neuropathy mutation carriers: a prospective cohort study, 2022, Orphanet Journal of Rare Diseases
  • Evolutionary composition of music with learned melody evaluation, 2022, Publikationen an der Universität Bielefeld (Universität Bielefeld)
  • Benchmark-Driven Configuration of a Parallel Model-Based Optimization Algorithm, 2022, IEEE Transactions on Evolutionary Computation

Günter Rudolph frequently publishes in venues such as Klinische Monatsblätter für Augenheilkunde, arXiv (Cornell University), Publikationen an der Universität Bielefeld (Universität Bielefeld), Orphanet Journal of Rare Diseases, and Molecular Genetics & Genomic Medicine.

The scientist has contributed to book publications with Springer Science+Business Media, including two editions of Parallel Problem Solving from Nature - PPSN XVII published in 2022.

Frequent collaborators include Anna V. Kononova, Claudia Priglinger, Siegfried Priglinger, Igor Vatolkin, and Benjamin Doerr, each having coauthored multiple publications with Günter Rudolph.

Best Publications

  • Exploratory landscape analysis

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Mike Preuss

  • Convergence properties of some multi-objective evolutionary algorithms

    G. Rudolph;A. Agapie

  • Parallel Problem Solving from Nature – PPSN X

    Günter Rudolph;Thomas Jansen;Nicola Beume;Simon Lucas

  • Finite Markov chain results in evolutionary computation: a tour d'horizon

    Günter Rudolph

  • Contemporary Evolution Strategies

    Hans-Paul Schwefel;Günter Rudolph

  • A Spatial Predator-Prey Approach to Multi-objective Optimization: A Preliminary Study

    Marco Laumanns;Günter Rudolph;Hans-Paul Schwefel

  • Convergence of evolutionary algorithms in general search spaces

    G. Rudolph

  • On a multi-objective evolutionary algorithm and its convergence to the Pareto set

    G. Rudolph

  • Proceedings of the Genetic and Evolutionary Computation Conference

    William B. Langdon;Erick Cantú-Paz;Keith E. Mathias;Rajkumar Roy

  • Parallel Problem Solving from Nature - PPSN XI

    Robert Schaefer;Carlos Cotta;Joanna Kołodziej;Günter Rudolph

  • Local convergence rates of simple evolutionary algorithms with Cauchy mutations

    G. Rudolph

  • An Evolutionary Algorithm for Integer Programming

    Günter Rudolph

  • Self-adaptive mutations may lead to premature convergence

    G. Rudolph

  • Capabilities of EMOA to detect and preserve equivalent pareto subsets

    Günter Rudolph;Boris Naujoks;Mike Preuss

  • How mutation and selection solve long-path problems in polynomial expected time

    Günter Rudolph

  • Theory of evolutionary algorithms: a bird's eye view

    A. E. Eiben;G. Rudolph

  • Parallel Approaches for Multiobjective Optimization

    El-Ghazali Talbi;Sanaz Mostaghim;Tatsuya Okabe;Hisao Ishibuchi

  • Pareto set and EMOA behavior for simple multimodal multiobjective functions

    Mike Preuss;Boris Naujoks;Günter Rudolph

  • Faster s-metric calculation by considering dominated hypervolume as klee's measure problem.

    Nicola Beume;Günter Rudolph

  • Evolutionary Search under Partially Ordered Fitness Sets

    Günter Rudolph

  • GECCO 2002: Proceedings of the genetic and evolutionary computation conference

    W.B. Langdon;E. Cant{ 'u}-Paz;K. Mathias;R. Roy

  • Parallel problem solving from nature - PPSN X : 10th international conference, Dortmund, Germany, September 13-17, 2008 : proceedings

    Günter Rudolph;Thomas Jansen;Simon M Lucas;Carlo Poloni

Frequent Co-Authors

Mike Preuss
Mike Preuss Leiden University
Heike Trautmann
Heike Trautmann University of Münster
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Kathrin Klamroth
Kathrin Klamroth University of Wuppertal
Thomas Jansen
Thomas Jansen Aberystwyth University
Xin Yao
Xin Yao Lingnan University
Marco Laumanns
Marco Laumanns ZF Friedrichshafen (Germany)
Simon M. Lucas
Simon M. Lucas Queen Mary University of London
Joshua Knowles
Joshua Knowles University of Manchester
Christian Igel
Christian Igel University of Copenhagen

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