World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4913
World Ranking
11335
National Ranking
567

Heike Trautmann 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 Heike Trautmann 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Heike Trautmann 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 Heike Trautmann 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: 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

Heike Trautmann is affiliated with the University of Münster in Germany and works primarily in the field of Computer Science. Their research spans several specialized subfields including Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Computer Networks and Communications, and Control and Systems Engineering.

The scientist's research interests are reflected in a variety of topics prominently covered in their work. These include:

  • Advanced Multi-Objective Optimization Algorithms
  • Metaheuristic Optimization Algorithms Research
  • Machine Learning and Data Classification
  • Hate Speech and Cyberbullying Detection
  • Vehicle Routing Optimization Methods
  • Constraint Satisfaction and Optimization
  • Scheduling and Timetabling Solutions

Heike Trautmann has contributed to multiple research articles published in academic journals and conferences. Notable recent papers include:

  • "Demystifying Social Bots: On the Intelligence of Automated Social Media Actors" (2020, Social Media + Society)
  • "What is it about humanity that we can't give away to intelligent machines? A European perspective" (2021, International Journal of Information Management)
  • "Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization" (2021, Computers & Operations Research)
  • "Pflacco: Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems in Python" (2023, Evolutionary Computation)
  • "Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem" (2021, Social Science Computer Review)

Collaborations are a key component of Trautmann's research output. Frequent coauthors include Pascal Kerschke, Moritz Vinzent Seiler, Christian Grimme, Raphael Patrick Prager, and Jakob Bossek. These collaborations highlight interconnected research efforts within optimization and evolutionary computation domains.

The venues where Trautmann's work is published are diverse, with a concentration in evolutionary computation and related fields. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • Evolutionary Computation
  • IEEE Transactions on Evolutionary Computation
  • Proceedings of the Genetic and Evolutionary Computation Conference Companion

In addition to journal and conference papers, Heike Trautmann has contributed to book publications. These include works published by Springer Science+Business Media, featuring titles such as "Parallel Problem Solving from Nature - PPSN XVI" published in 2020. Trautmann also has editorial or authorial contributions in the volume "Hate Speech" published by Aktivismus- und Propagandaforschung in 2022.

Best Publications

  • Automated Algorithm Selection: Survey and Perspectives

    Pascal Kerschke;Holger H. Hoos;Frank Neumann;Heike Trautmann

  • Exploratory landscape analysis

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Mike Preuss

  • Resampling methods for meta-model validation with recommendations for evolutionary computation

    B. Bischl;O. Mersmann;H. Trautmann;C. Weihs

  • On the properties of the R2 indicator

    Dimo Brockhoff;Tobias Wagner;Heike Trautmann

  • Algorithm selection based on exploratory landscape analysis and cost-sensitive learning

    Bernd Bischl;Olaf Mersmann;Heike Trautmann;Mike Preuß

  • Social Bots: Human-Like by Means of Human Control?

    Christian Grimme;Mike Preuss;Lena Adam;Heike Trautmann

  • Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning

    Pascal Kerschke;Heike Trautmann

  • Integration of Preferences in Hypervolume-Based Multiobjective Evolutionary Algorithms by Means of Desirability Functions

    Tobias Wagner;Heike Trautmann

  • Benchmarking evolutionary algorithms: towards exploratory landscape analysis

    Olaf Mersmann;Mike Preuss;Heike Trautmann

  • R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

    Heike Trautmann;Tobias Wagner;Dimo Brockhoff

  • Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

    Pascal Kerschke;Heike Trautmann

  • A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem

    Olaf Mersmann;Bernd Bischl;Heike Trautmann;Markus Wagner

  • 2 indicator-based multiobjective search

    Dimo Brockhoff;Tobias Wagner;Heike Trautmann

  • Detecting Funnel Structures by Means of Exploratory Landscape Analysis

    Pascal Kerschke;Mike Preuss;Simon Wessing;Heike Trautmann

  • On the distribution of the desirability index using Harrington’s desirability function

    Heike Trautmann;Claus Weihs

  • Leveraging TSP Solver Complementarity through Machine Learning

    Pascal Kerschke;Lars Kotthoff;Jakob Bossek;Holger H. Hoos

  • Demystifying Social Bots: On the Intelligence of Automated Social Media Actors:

    Dennis Assenmacher;Lena Clever;Lena Frischlich;Lena Frischlich;Thorsten Quandt

  • Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection

    Lars Kotthoff;Pascal Kerschke;Holger H Hoos;Heike Trautmann

  • Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms

    Matthias Carnein;Heike Trautmann

  • Statistical methods for convergence detection of multi-objective evolutionary algorithms

    H. Trautmann;T. Wagner;B. Naujoks;M. Preuss

  • Preference-Based Pareto-Optimization in Certain and Noisy Environments

    Heike Trautmann;Jörn Mehnen

Frequent Co-Authors

Günter Rudolph
Günter Rudolph TU Dortmund University
Mike Preuss
Mike Preuss Leiden University
Bernd Bischl
Bernd Bischl Ludwig-Maximilians-Universität München
Frank Neumann
Frank Neumann University of Adelaide
Michael Emmerich
Michael Emmerich Leiden University
Markus Wagner
Markus Wagner Monash University
Holger H. Hoos
Holger H. Hoos RWTH Aachen University
Dimo Brockhoff
Dimo Brockhoff French Institute for Research in Computer Science and Automation - INRIA
Gottfried Vossen
Gottfried Vossen University of Münster
Jörg Becker
Jörg Becker University of Münster

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