World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
20293
World Ranking
2555
National Ranking
146

Jürgen Branke 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 Jürgen Branke 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: 255 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Jürgen Branke 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 Jürgen Branke 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Jürgen Branke is affiliated with the University of Warwick in the United Kingdom, focusing primarily on computer science research. Their work spans various subfields including artificial intelligence, computational theory and mathematics, management science and operations research, industrial and manufacturing engineering, and control and systems engineering.

The scientist has contributed extensively to multiple topics within their research domain. Key areas of focus include:

  • Advanced Multi-Objective Optimization Algorithms
  • Machine Learning and Data Classification
  • Metaheuristic Optimization Algorithms Research
  • Simulation Techniques and Applications
  • Gaussian Processes and Bayesian Inference
  • Optimal Experimental Design Methods
  • Evolutionary Algorithms and Applications

Jürgen Branke's recent published papers cover a range of subjects relevant to machine learning, optimization, and operational research. Notable papers include:

  • "Multi-Objective Hyperparameter Optimization in Machine Learning-An Overview" (2023) published in ACM Transactions on Evolutionary Learning and Optimization
  • "Ranking and selection for pairwise comparison" (2023) published in Naval Research Logistics (NRL)
  • "Dynamic multi-period vehicle routing with touting" (2023) published in European Journal of Operational Research
  • "Bayesian Optimization" (2024) published in Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • "Multi-objective optimisation of multifaceted maintenance strategies for wind farms" (2022) published in Journal of the Operational Research Society

The venues in which Jürgen Branke frequently publishes include:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion
  • European Journal of Operational Research
  • ACM Transactions on Evolutionary Learning and Optimization
  • IEEE Transactions on Evolutionary Computation

Collaboration is a consistent feature of their research, with frequent co-authors including:

  • Sebastian Rojas Gonzalez
  • Juan Ungredda
  • Ivo Couckuyt
  • Danial Yazdani
  • Linda Wanika

Jürgen Branke's contributions focus on computational methods to enhance optimization and machine learning processes, integrating theoretical and applied research methodologies.

Best Publications

  • Evolutionary optimization in uncertain environments-a survey

    Yaochu Jin;J. Branke

  • Multiobjective Optimization: Interactive and Evolutionary Approaches

    Jürgen Branke;Kalyanmoy Deb;Kaisa Miettinen;Roman Słowiński

  • Evolutionary Optimization in Dynamic Environments

    Jurgen Branke

  • Memory enhanced evolutionary algorithms for changing optimization problems

    J. Branke

  • Evolutionary dynamic optimization: A survey of the state of the art

    Trung Thanh Nguyen;Shengxiang Yang;Juergen Branke

  • Finding Knees in Multi-objective Optimization

    Jürgen Branke;Kalyanmoy Deb;Henning Dierolf;Matthias Osswald

  • Multiswarms, exclusion, and anti-convergence in dynamic environments

    T. Blackwell;J. Branke

  • A Multi-population Approach to Dynamic Optimization Problems

    Jürgen Branke;Thomas Kaussler;Christian Smidt;Hartmut Schmeck

  • Multi-swarm Optimization in Dynamic Environments

    Tim Blackwell;Jürgen Branke

  • Automated Design of Production Scheduling Heuristics: A Review

    Jurgen Branke;Su Nguyen;Christoph W. Pickardt;Mengjie Zhang

  • Guidance in evolutionary multi-objective optimization

    J Branke;T Kaußler;H Schmeck

  • Selecting a Selection Procedure

    Jürgen Branke;Stephen E. Chick;Christian Schmidt

  • Creating Robust Solutions by Means of Evolutionary Algorithms

    Jürgen Branke

  • Reliability-Based Optimization Using Evolutionary Algorithms

    K. Deb;S. Gupta;D. Daum;J. Branke

  • Designing evolutionary algorithms for dynamic optimization problems

    Jürgen Branke;Hartmut Schmeck

  • Portfolio optimization with an envelope-based multi-objective evolutionary algorithm

    Jürgen Branke;Benedikt Scheckenbach;Michael Stein;Kalyan Deb

  • Towards a generic observer/controller architecture for Organic Computing.

    Urban Richter;Moez Mnif;Jürgen Branke;Christian Müller-Schloer

  • Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation

    I. Paenke;J. Branke;Yaochu Jin

  • Faster convergence by means of fitness estimation

    J. Branke;C. Schmidt

  • Ant Colony Optimization.

    Jürgen Branke;Michael Guntsch

  • Applications of Evolutionary Computing - EvoWorkshops 2004: EvoBio, EvoComNet, EvoHOT, EvoIASP, EvoMUSART, EvoSTOC, Coimbra, Portugal

    Günther R. Raidl;Stefano Cagnoni;Jürgen Branke;David Wolfe Corne

Frequent Co-Authors

Hartmut Schmeck
Hartmut Schmeck Karlsruhe Institute of Technology
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Yaochu Jin
Yaochu Jin Westlake University
Rolf Drechsler
Rolf Drechsler University of Bremen
Xiaodong Li
Xiaodong Li University of Virginia
Roman Słowiński
Roman Słowiński Poznań University of Technology
Kaisa Miettinen
Kaisa Miettinen University of Jyväskylä
Hussein A. Abbass
Hussein A. Abbass University of New South Wales
Salvatore Greco
Salvatore Greco University of Portsmouth

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