World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
12895
World Ranking
2953
National Ranking
135

Kristian Kersting 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 Kristian Kersting 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: 415 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Kristian Kersting 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 Kristian Kersting 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: 62 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Overview

Kristian Kersting is affiliated with the Technical University of Darmstadt in Germany, where they concentrate their research efforts in the field of Computer Science, contributing extensively across various subfields and topics.

Their work spans several subfields of study, including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems, and Economics and Econometrics.

The principal topics Kristian Kersting engages with include:

  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling
  • Adversarial Robustness in Machine Learning
  • Bayesian Modeling and Causal Inference
  • Machine Learning and Data Classification
  • Natural Language Processing Techniques
  • Privacy-Preserving Technologies in Data

Kersting has produced numerous publications with notable venues where their research frequently appears. These venues include arXiv (Cornell University), Frontiers in Artificial Intelligence, Nature Machine Intelligence, Proceedings of the International AAAI Conference on Web and Social Media, and the Journal of Artificial Intelligence Research.

Some recent publications are:

  • Trained models, code, result data, and Optuna study data from "Hybrid quantum or purely classical? Assessing the utility of quantum feature embeddings" (2024, arXiv (Cornell University))
  • Large pre-trained language models contain human-like biases of what is right and wrong to do (2022, Nature Machine Intelligence)
  • DeepDB (2020, Proceedings of the VLDB Endowment)
  • Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash (2022, 2022 ACM Conference on Fairness, Accountability, and Transparency)
  • Anisotropic hyperelastic constitutive models for finite deformations combining material theory and data-driven approaches with application to cubic lattice metamaterials (2020, Computational Mechanics)

Their frequent co-authors include Devendra Singh Dhami, Patrick Schramowski, Wolfgang Stammer, F. Friedrich, and Matej Zečević, reflecting sustained collaboration over many publications.

Kersting has also contributed to academic literature published by Springer Science+Business Media, authoring the book "Machine Learning and Knowledge Discovery in Databases" in 2021, with at least two editions or volumes recorded.

Best Publications

  • Probabilistic inductive logic programming

    Luc De Raedt;Kristian Kersting

  • Most likely heteroscedastic Gaussian process regression

    Kristian Kersting;Christian Plagemann;Patrick Pfaff;Wolfram Burgard

  • TUDataset: A collection of benchmark datasets for learning with graphs.

    Christopher Morris;Nils M. Kriege;Franka Bause;Kristian Kersting

  • Interpreting Bayesian Logic Programs

    Kristian Kersting;Luc De Raedt;Stefan Kramer

  • Statistical Relational Artificial Intelligence: Logic, Probability, and Computation

    Luc De Raedt;Kristian Kersting;Sriraam Natarajan

  • Propagation kernels: efficient graph kernels from propagated information

    Marion Neumann;Roman Garnett;Christian Bauckhage;Kristian Kersting

  • Bayesian Logic Programs

    Kristian Kersting;Luc De Raedt

  • Lifted probabilistic inference with counting formulas

    Brian Milch;Luke S. Zettlemoyer;Kristian Kersting;Michael Haimes

  • Probabilistic logic learning

    Luc De Raedt;Kristian Kersting

  • Bayesian Logic Programming: Theory and Tool

    Kristian Kersting;Luc De Raedt

  • DeepDB: learn from data, not from queries!

    Benjamin Hilprecht;Andreas Schmidt;Moritz Kulessa;Alejandro Molina

  • Predicting player churn in the wild

    Fabian Hadiji;Rafet Sifa;Anders Drachen;Christian Thurau

  • Towards Combining Inductive Logic Programming with Bayesian Networks

    Kristian Kersting;Luc De Raedt

  • Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis

    Christoph Römer;Mirwaes Wahabzada;Agim Ballvora;Francisco Pinto

  • Explanatory Interactive Machine Learning

    Stefano Teso;Kristian Kersting

  • Gradient-based boosting for statistical relational learning: The relational dependency network case

    Sriraam Natarajan;Tushar Khot;Kristian Kersting;Bernd Gutmann

  • Making deep neural networks right for the right scientific reasons by interacting with their explanations

    Patrick Schramowski;Wolfgang Stammer;Stefano Teso;Anna Brugger

  • Counting belief propagation

    Kristian Kersting;Babak Ahmadi;Sriraam Natarajan

  • Bellman goes relational

    Kristian Kersting;Martijn Van Otterlo;Luc De Raedt

  • Metro maps of plant disease dynamics--automated mining of differences using hyperspectral images.

    Mirwaes Wahabzada;Anne-Katrin Mahlein;Christian Bauckhage;Ulrike Steiner

  • Making deep neural networks right for the right scientific reasons by interacting with their explanations

    Patrick Schramowski;Wolfgang Stammer;Stefano Teso;Anna Brugger

Frequent Co-Authors

Christian Bauckhage
Christian Bauckhage University of Bonn
Luc De Raedt
Luc De Raedt KU Leuven
Jude W. Shavlik
Jude W. Shavlik University of Wisconsin–Madison
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Petra Mutzel
Petra Mutzel University of Bonn
Ulrike Steiner
Ulrike Steiner University of Bonn
Scott Sanner
Scott Sanner University of Toronto
Uwe Rascher
Uwe Rascher Forschungszentrum Jülich
Erich-Christian Oerke
Erich-Christian Oerke University of Bonn

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