World's Best Scientists 2026 revealed!
Stefan Wrobel

Stefan Wrobel

D-Index & Metrics

Computer Science

D-Index
40
Citations
10142
World Ranking
9107
National Ranking
453

Stefan Wrobel 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 Stefan Wrobel 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Stefan Wrobel 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 Stefan Wrobel 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: 40 D-Index — 37th percentile

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

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

Overview

Stefan Wrobel is affiliated with the University of Bonn in Germany. Their research primarily falls within the broad domain of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Statistical and Nonlinear Physics, and Signal Processing.

The scientist's work covers a range of topics related to machine learning, graph theory, and data analysis. Key topics include Advanced Graph Neural Networks, Graph Theory and Algorithms, Machine Learning and Algorithms, Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Data Visualization and Analytics, and Topological and Geometric Data Analysis.

Frequent coauthors collaborating with Stefan Wrobel include Tamás Horváth, Maram Akila, Florian Seiffarth, Alexander Kister, and Tim Wirtz. These partnerships reflect ongoing contributions to research communities centered around machine learning and computational theory.

Publications by Stefan Wrobel have appeared in various venues, with multiple works published in arXiv (Cornell University). Other notable publication venues where their work is found include Machine Learning, at - Automatisierungstechnik, SSRN Electronic Journal, and the European Journal of Agronomy.

Examples of recent papers authored or co-authored by Stefan Wrobel are as follows:

  • "A theoretical model for pattern discovery in visual analytics," 2020, Visual Informatics
  • "A generalized Weisfeiler-Lehman graph kernel," 2022, Machine Learning
  • "Research priorities to leverage smart digital technologies for sustainable crop production," 2024, European Journal of Agronomy
  • "Visual Analytics for Human-Centered Machine Learning," 2022, IEEE Computer Graphics and Applications
  • "Implementation and evaluation of an additional GPT-4-based reviewer in PRISMA-based medical systematic literature reviews," 2024, International Journal of Medical Informatics

Best Publications

  • On Graph Kernels: Hardness Results and Efficient Alternatives

    Thomas Gärtner;Thomas Gärtner;Peter A. Flach;Stefan Wrobel

  • An Algorithm for Multi-relational Discovery of Subgroups

    Stefan Wrobel

  • Active Hidden Markov Models for Information Extraction

    Tobias Scheffer;Christian Decomain;Stefan Wrobel

  • Geovisual analytics for spatial decision support: Setting the research agenda

    G. Andrienko;N. Andrienko;P. Jankowski;D. Keim

  • Visual analytics tools for analysis of movement data

    Gennady Andrienko;Natalia Andrienko;Stefan Wrobel

  • Cyclic pattern kernels for predictive graph mining

    Tamás Horváth;Thomas Gärtner;Stefan Wrobel

  • Visual Analytics of Movement

    Gennady Andrienko;Natalia Andrienko;Peter Bak;Daniel Keim

  • A review of machine learning for the optimization of production processes

    Dorina Weichert;Patrick Link;Anke Stoll;Stefan Rüping

  • Efficient co-regularised least squares regression

    Ulf Brefeld;Thomas Gärtner;Tobias Scheffer;Stefan Wrobel

  • Movement Data Anonymity through Generalization

    Anna Monreale;Gennady Andrienko;Natalia Andrienko;Fosca Giannotti

  • A conceptual framework and taxonomy of techniques for analyzing movement

    G. Andrienko;N. Andrienko;P. Bak;D. Keim

  • Comparative Evaluation of Approaches to Propositionalization

    Mark-A. Krogel;Simon Rawles;Filip Železný;Filip Železný;Peter A. Flach

  • Transformation-based learning using multirelational aggregation

    Mark-A. Krogel;Stefan Wrobel

  • Inductive Logic Programming for Knowledge Discovery in Databases

    Stefan Wrobel

  • From movement tracks through events to places: Extracting and characterizing significant places from mobility data

    Gennady Andrienko;Natalia Andrienko;Christophe Hurter;Salvatore Rinzivillo

  • Proceedings of the 22nd international conference on Machine learning

    Saso Dzeroski;Luc De Raedt;Stefan Wrobel

  • Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications

    Katharina Morik;Stefan Wrobel;Jörg-Uwe Kietz;Werner Emde

  • Frequent subgraph mining in outerplanar graphs

    Tamás Horváth;Jan Ramon;Stefan Wrobel

  • Tight optimistic estimates for fast subgroup discovery

    Henrik Grosskreutz;Stefan Rüping;Stefan Wrobel

  • Concept Formation and Knowledge Revision

    Stefan Wrobel

  • Movement data anonymity through generalization

    Gennady Andrienko;Natalia Andrienko;Fosca Giannotti;Anna Monreale

Frequent Co-Authors

Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Daniel A. Keim
Daniel A. Keim University of Konstanz
Christian Bauckhage
Christian Bauckhage University of Bonn
Tobias Scheffer
Tobias Scheffer University of Potsdam
Nada Lavrač
Nada Lavrač Jozef Stefan Institute
Luc De Raedt
Luc De Raedt KU Leuven
Jan Ramon
Jan Ramon French Institute for Research in Computer Science and Automation - INRIA
Michel Verleysen
Michel Verleysen Université Catholique de Louvain
Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München

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