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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
92
Citations
43566
World Ranking
537
National Ranking
25

Daniel A. Keim 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 Daniel A. Keim 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: 719 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Daniel A. Keim 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 Daniel A. Keim 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: 92 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Daniel A. Keim is a researcher affiliated with the University of Konstanz in Germany. Their work spans primarily the field of Computer Science, with a strong focus on specialized subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics, and Ecological Modeling.

The key topics addressed in their research include:

  • Data Visualization and Analytics
  • Explainable Artificial Intelligence (XAI)
  • Time Series Analysis and Forecasting
  • Video Analysis and Summarization
  • Species Distribution and Climate Change
  • Complex Network Analysis Techniques
  • Stock Market Forecasting Methods

Their recent scholarly publications demonstrate engagement with immersive analytics, human-centered machine learning, and medical imaging analytics, among other areas. Notable papers include:

  • "Immersive Analytics with Abstract 3D Visualizations: A Survey" (2021, Computer Graphics Forum)
  • "A Survey of Human-Centered Evaluations in Human-Centered Machine Learning" (2021, Computer Graphics Forum)
  • "PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers" (2020, European Radiology Experimental)
  • "The Value of Immersive Visualization" (2021, IEEE Computer Graphics and Applications)
  • "Potential short-term earthquake forecasting by farm animal monitoring" (2020, Ethology)

Daniel A. Keim frequently collaborates with several researchers, including Mennatallah El-Assady, Udo Schlegel, Johannes Fuchs, Frederik L. Dennig, and Matthias Miller. Such collaborations contribute to the breadth of their scientific output.

The venues where their work is most often published reflect a focus on both theoretical and applied aspects of computer graphics, visualization, and computational methods. These top publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Computer Graphics Forum
  • IEEE Computer Graphics and Applications
  • Computers & Graphics

In addition to journal and conference articles, Daniel A. Keim has contributed to the academic literature through book publications. One such example is "Mastering the Information Age Solving Problems with Visual Analytics" (2022), published by the University of Groningen.

Best Publications

  • Information visualization and visual data mining

    D.A. Keim

  • On the Surprising Behavior of Distance Metrics in High Dimensional Spaces

    Charu C. Aggarwal;Alexander Hinneburg;Daniel A. Keim

  • The X-tree: an index structure for high-dimensional data

    Stefan Berchtold;Daniel A. Keim;Hans-Peter Kriegel

  • An efficient approach to clustering in large multimedia databases with noise

    Alexander Hinneburg;Daniel A. Keim

  • Visual Analytics: Definition, Process, and Challenges

    Daniel Keim;Gennady Andrienko;Jean-Daniel Fekete;Carsten Görg

  • Searching in high-dimensional spaces: Index structures for improving the performance of multimedia databases

    Christian Böhm;Stefan Berchtold;Daniel A. Keim

  • Mastering the information age : solving problems with visual analytics

    Daniel Keim;Jörn Kohlhammer;Geoffrey Ellis;Florian Mansmann

  • Challenges in Visual Data Analysis

    D.A. Keim;F. Mansmann;J. Schneidewind;H. Ziegler

  • Interactive Data Visualization: Foundations, Techniques, and Applications

    Matthew Ward;Georges Grinstein;Daniel Keim

  • Visual Analytics: Scope and Challenges

    Daniel A. Keim;Florian Mansmann;Jörn Schneidewind;Jim Thomas

  • What Is the Nearest Neighbor in High Dimensional Spaces

    Alexander Hinneburg;Charu C. Aggarwal;Daniel A. Keim

  • Designing pixel-oriented visualization techniques: theory and applications

    D.A. Keim

  • On Knowledge Discovery and Data Mining

    Daniel A. Keim

  • Visualization techniques for mining large databases: a comparison

    D.A. Keim;H.-P. Kriegel

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

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

  • A cost model for nearest neighbor search in high-dimensional data space

    Stefan Berchtold;Christian Böhm;Daniel A. Keim;Hans-Peter Kriegel

  • Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering

    Alexander Hinneburg;Daniel A. Keim

  • Feature-based similarity search in 3D object databases

    Benjamin Bustos;Daniel A. Keim;Dietmar Saupe;Tobias Schreck

  • VisDB: database exploration using multidimensional visualization

    D.A. Keim;H.-P. Kriegel

  • Visual exploration of large data sets

    Daniel A. Keim

Frequent Co-Authors

Umeshwar Dayal
Umeshwar Dayal Hitachi (Japan)
Hans-Peter Kriegel
Hans-Peter Kriegel Ludwig-Maximilians-Universität München
Tobias Schreck
Tobias Schreck Graz University of Technology
Gennady Andrienko
Gennady Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Natalia Andrienko
Natalia Andrienko Fraunhofer Institute for Intelligent Analysis and Information Systems
Stephen C. North
Stephen C. North Infovisible
Stefan Wrobel
Stefan Wrobel University of Bonn
Dietmar Saupe
Dietmar Saupe University of Konstanz
Thomas Seidl
Thomas Seidl Ludwig-Maximilians-Universität München
Siegfried Scherer
Siegfried Scherer Technical University of Munich

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