World's Best Scientists 2026 revealed!
Michael Kaufmann

Michael Kaufmann

D-Index & Metrics

Computer Science

D-Index
42
Citations
7255
World Ranking
8406
National Ranking
411

Michael Kaufmann 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 Michael Kaufmann 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: 378 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Michael Kaufmann 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 Michael Kaufmann 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Michael Kaufmann is affiliated with the University of Tübingen in Germany. Their research primarily spans the fields of Computer Science and Engineering, with a focus on several subfields including Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist's work addresses main topics such as Computational Geometry and Mesh Generation, Advanced Graph Theory Research, Digital Image Processing Techniques, Data Visualization and Analytics, graph theory and CDMA systems, 3D Modeling in Geospatial Applications, and Optimization and Search Problems.

Michael Kaufmann's recent publications illustrate the scope and focus of their research contributions. These include:

  • The Density of Fan-Planar Graphs, 2022, The Electronic Journal of Combinatorics
  • Queue Layouts of Planar 3-Trees, 2020, Algorithmica
  • Splitting Vertices in 2-Layer Graph Drawings, 2023, IEEE Computer Graphics and Applications
  • On Compact RAC Drawings, 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Graph Product Structure for h-Framed Graphs, 2022, arXiv (Cornell University)

Kaufmann has frequently published in several venues, with numerous works appearing in arXiv (Cornell University), Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Journal of Graph Algorithms and Applications, Lecture Notes in Computer Science, and Algorithmica.

The scientist's collaborative network includes frequent co-authors such as Michael A. Bekos, Giuseppe Liotta, Walter Didimo, Sergey Pupyrev, and Torsten Ueckerdt. This network reflects concentrated collaborations in graph theory and computational geometry research areas.

Best Publications

  • Drawing graphs: methods and models

    Michael Kaufmann;Dorothea Wagner

  • DIALIGN-TX: greedy and progressive approaches for segment-based multiple sequence alignment

    Amarendran R Subramanian;Michael Kaufmann;Burkhard Morgenstern

  • An integer linear programming approach for finding deregulated subgraphs in regulatory networks

    Christina Backes;Alexander Rurainski;Gunnar W. Klau;Oliver Müller

  • DIALIGN-T: an improved algorithm for segment-based multiple sequence alignment.

    Amarendran R Subramanian;Jan Weyer-Menkhoff;Michael Kaufmann;Burkhard Morgenstern

  • Tungsten as first wall material in fusion devices

    M. Kaufmann;R. Neu

  • Drawing High Degree Graphs with Low Bend Numbers

    Ulrich Fößmeier;Michael Kaufmann

  • Embedding Vertices at Points: Few Bends Suffice for Planar Graphs

    Michael Kaufmann;Roland Wiese

  • An Efficient Implementation of Sugiyama's Algorithm for Layered Graph Drawing

    Markus Eiglsperger;Martin Siebenhaller;Michael Kaufmann

  • Computing Cartograms with Optimal Complexity

    Md. Jawaherul Alam;Therese C. Biedl;Stefan Felsner;Michael Kaufmann

  • Multi-omics enrichment analysis using the GeneTrail2 web service

    Daniel Stöckel;Tim Kehl;Patrick Trampert;Lara Schneider

  • Boundary labeling: Models and efficient algorithms for rectangular maps

    Michael A. Bekos;Michael Kaufmann;Antonios Symvonis;Alexander Wolff

  • yFiles — Visualization and Automatic Layout of Graphs

    Roland Wiese;Markus Eiglsperger;Michael Kaufmann

  • A systematic approach to the one-mode projection of bipartite graphs

    Katharina Anna Zweig;Michael Kaufmann

  • Drawing graphs in the plane with high resolution

    M. Formann;T. Hagerup;J. Haralambides;M. Kaufmann

  • A New Approach for Boundary Recognition in Geometric Sensor Networks.

    Sándor P. Fekete;Michael Kaufmann;Alexander Kröller;Katharina Anna Lehmann

  • Approximate motion planning and the complexity of the boundary of the union of simple geometric figures

    Helmut Alt;Rudolf Fleischer;Michael Kaufmann;Kurt Mehlhorn

  • An efficient implementation of sugiyama's algorithm for layered graph drawing

    Markus Eiglsperger;Martin Siebenhaller;Michael Kaufmann

  • The art gallery theorem for polygons with holes

    F. Hoffmann;M. Kaufmann;K. Kriegel

  • Area-Efficient Static and Incremental Graph Drawings

    Therese C. Biedl;Michael Kaufmann

  • GeneTrailExpress: a web-based pipeline for the statistical evaluation of microarray experiments.

    Andreas Keller;Christina Backes;Maher Al-Awadhi;Andreas Gerasch

  • Channel routing of multiterminal nets

    Shaodi Gao;Michael Kaufmann

  • A topology-shape-metrics approach for the automatic layout of UML class diagrams

    Markus Eiglsperger;Michael Kaufmann;Martin Siebenhaller

  • Graph Drawing with Algorithm Engineering Methods (Dagstuhl Seminar 11191)

    Camil Demetrescu;Michael Kaufmann;Stephen G. Kobourov;Petra Mutzel

Frequent Co-Authors

A. Kallenbach
A. Kallenbach Max Planck Society
F. Ryter
F. Ryter Max Planck Society
H. Zohm
H. Zohm Max Planck Institute for Plasma Physics
Stephen G. Kobourov
Stephen G. Kobourov University of Arizona
Peter Lang
Peter Lang University of Bern
A. Herrmann
A. Herrmann Max Planck Society
Wolf-Dieter Schneider
Wolf-Dieter Schneider École Polytechnique Fédérale de Lausanne
R. Dux
R. Dux Max Planck Society
R. Neu
R. Neu Max Planck Institute for Plasma Physics
J. Roth
J. Roth Max Planck Society

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