World's Best Scientists 2026 revealed!
Christian Bauckhage

Christian Bauckhage

D-Index & Metrics

Computer Science

D-Index
50
Citations
12365
World Ranking
5540
National Ranking
257

Christian Bauckhage 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 Christian Bauckhage 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: 312 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Christian Bauckhage 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 Christian Bauckhage 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Christian Bauckhage is affiliated with the University of Bonn in Germany and has a research focus primarily in computer science. Their work spans several subfields, including artificial intelligence, plant science, statistical and nonlinear physics, management science and operations research, as well as computer vision and pattern recognition.

The scientist's research topics cover a broad spectrum within computer science, with particular attention to:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Stock Market Forecasting Methods
  • Quantum Computing Algorithms and Architecture
  • Neural Networks and Applications
  • Advanced Text Analysis Techniques
  • Smart Agriculture and AI

Bauckhage has contributed publications to multiple respected venues, featuring predominantly in:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft)
  • International Journal of Data Science and Analytics
  • Proceedings of the AAAI Conference on Artificial Intelligence

Their notable recent papers include:

  • "Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems" (2021), published in IEEE Transactions on Knowledge and Data Engineering
  • "Insights into Internet Memes" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Mathematical Models of Fads Explain the Temporal Dynamics of Internet Memes" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization" (2022), published on arXiv (Cornell University)
  • "A Comparison of Methods for Player Clustering via Behavioral Telemetry" (2022), published on arXiv (Cornell University)

Frequent coauthors in Bauckhage's research work include:

  • Rafet Sifa
  • Lars Hillebrand
  • Rajkumar Ramamurthy
  • Nico Piatkowski
  • Maurice Günder

In addition to journal and conference papers, Bauckhage has contributed to book publications with Springer Science+Business Media and Springer Nature. These include:

  • Pattern Recognition (2021)
  • Quantum Computing from Hopfield Nets (projected for 2025)

The scientist's body of work reflects a consistent engagement with advanced computational methods, integrating prior knowledge into machine learning systems, analysis of internet phenomena such as memes, and applications of quantum computing concepts. Their multidisciplinary approach intersects various aspects of artificial intelligence and data science, contributing to both theoretical foundations and applied research in these fields.

Best Publications

  • Evaluation of Interest Point Detectors

    Cordelia Schmid;Roger Mohr;Christian Bauckhage

  • Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

    Laura von Rueden;Sebastian Mayer;Katharina Beckh;Bogdan Georgiev

  • The slashdot zoo: mining a social network with negative edges

    Jérôme Kunegis;Andreas Lommatzsch;Christian Bauckhage

  • Comparing and evaluating interest points

    C. Schmid;R. Mohr;C. Bauckhage

  • Informed Haar-Like Features Improve Pedestrian Detection

    Shanshan Zhang;Christian Bauckhage;Armin B. Cremers

  • Insights into Internet Memes

    Christian Bauckhage

  • Propagation kernels: efficient graph kernels from propagated information

    Marion Neumann;Roman Garnett;Christian Bauckhage;Kristian Kersting

  • Guns, swords and data: Clustering of player behavior in computer games in the wild

    Anders Drachen;Rafet Sifa;Christian Bauckhage;Christian Thurau

  • Loveparade 2010: Automatic video analysis of a crowd disaster

    Barbara Krausz;Christian Bauckhage

  • Predicting player churn in the wild

    Fabian Hadiji;Rafet Sifa;Anders Drachen;Christian Thurau

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

    Christoph Römer;Mirwaes Wahabzada;Agim Ballvora;Francisco Pinto

  • Is Reinforcement Learning (Not) for Natural Language Processing?: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization

    Unknown

  • Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions.

    Laura von Rueden;Sebastian Mayer;Rafet Sifa;Christian Bauckhage

  • I tag, you tag: translating tags for advanced user models

    Robert Wetzker;Carsten Zimmermann;Christian Bauckhage;Sahin Albayrak

  • Clustering Game Behavior Data

    Christian Bauckhage;Anders Drachen;Rafet Sifa

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

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

  • Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants

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

  • Learning Human-Like Movement Behavior for Computer Games

    Christian Thurau;Christian Bauckhage;Gerhard Sagerer

  • How players lose interest in playing a game: An empirical study based on distributions of total playing times

    Christian Bauckhage;Kristian Kersting;Rafet Sifa;Christian Thurau

  • Predicting Purchase Decisions in Mobile Free-To-Play Games

    Rafet Sifa;Fabian Hadiji;Julian Runge;Anders Drachen

  • Malware Detection on Mobile Devices Using Distributed Machine Learning

    Ashkan Sharifi Shamili;Christian Bauckhage;Tansu Alpcan

  • Game Data Mining

    Anders Drachen;Anders Drachen;Christian Thurau;Julian Togelius;Georgios N. Yannakakis;Georgios N. Yannakakis

Frequent Co-Authors

Kristian Kersting
Kristian Kersting Technical University of Darmstadt
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Anders Drachen
Anders Drachen University of Southern Denmark
Tansu Alpcan
Tansu Alpcan University of Melbourne
Stefan Wrobel
Stefan Wrobel University of Bonn
John K. Tsotsos
John K. Tsotsos York University
Armin B. Cremers
Armin B. Cremers University of Bonn
Uwe Rascher
Uwe Rascher Forschungszentrum Jülich
Florian Metze
Florian Metze Carnegie Mellon University
Sahin Albayrak
Sahin Albayrak Technical University of Berlin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees broadens your options beyond traditional computer science programs. For those looking for speed and flexibility, a 1 year computer science degree online offers a fast-track route into the tech industry. These accelerated programs can help you upskill quickly and enter the workforce sooner.

If your interests extend into engineering, pursuing an environmental engineering degree online is a practical choice. This path blends advanced technical skills with knowledge of sustainability—ideal for those passionate about solving real-world environmental challenges.

Understanding the mechanical engineering degree cost is crucial for budget-minded students. Affordable online programs help make engineering education more accessible, letting you balance quality with cost.

For those interested in the fundamentals of science and technology, a bachelor of science in physics online can open doors to careers in research, education, or industry. Carefully compare program options to find the degree that aligns with your career ambitions and learning preferences.

Best Scientists Citing Christian Bauckhage

Trending Scientists

Recently Published Articles