World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
62
Citations
12896
World Ranking
2952
National Ranking
1450

Bernd Hamann 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 Bernd Hamann 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: 508 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Bernd Hamann 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 Bernd Hamann 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

Bernd Hamann is affiliated with the University of California, Davis in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a substantial focus on subfields such as Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computational Mechanics, Ocean Engineering, and Mechanical Engineering.

The main topics covered in their research include Manufacturing Process and Optimization, Industrial Vision Systems and Defect Detection, Advanced Numerical Analysis Techniques, Advanced Measurement and Metrology Techniques, Reservoir Engineering and Simulation Methods, Advanced Image Processing Techniques, and 3D Shape Modeling and Analysis.

Bernd Hamann has authored several recent papers, including:

  • Feature-Driven Viewpoint Placement for Model-Based Surface Inspection (2020) published in Machine Vision and Applications
  • A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data (2021) published in Journal of Petroleum Science and Engineering
  • An Image-Based Framework for Ocean Feature Detection and Analysis (2021) published in Journal of Geovisualization and Spatial Analysis
  • FMGDN: Flexible Multi-Grained Dilation Network Empowered Multimedia Image Inpainting for Electronic Consumer (2024) published in IEEE Transactions on Consumer Electronics
  • Multiresolution classification of turbulence features in image data through machine learning (2020) published in Computers & Fluids

Frequent coauthors in their research include Hans Hagen, Felix Claus, Dennis Mosbach, Aurea Soriano-Vargas, and Alessandra Davólio.

Their publications often appear in venues such as Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Machine Vision and Applications, Journal of Petroleum Science and Engineering, Journal of Geovisualization and Spatial Analysis, and IEEE Transactions on Consumer Electronics.

Best Publications

  • The asymptotic decider: resolving the ambiguity in marching cubes

    Gregory M. Nielson;Bernd Hamann

  • A data reduction scheme for triangulated surfaces

    Bernd Hamann

  • Evolutionary morphing

    D.F. Wiley;N. Amenta;D.A. Alcantara;D. Ghosh

  • A quantitative spatiotemporal atlas of gene expression in the Drosophila blastoderm.

    Charless C. Fowlkes;Cris L. Luengo Hendriks;Cris L. Luengo Hendriks;Soile V.E. Keränen;Soile V.E. Keränen;Gunther H. Weber;Gunther H. Weber

  • Curvature approximation for triangulated surfaces

    B. Hamann

  • A topological hierarchy for functions on triangulated surfaces

    P.-T. Bremer;B. Hamann;H. Edelsbrunner;V. Pascucci

  • A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality

    A. Gyulassy;P.-T. Bremer;B. Hamann;V. Pascucci

  • FastBit: interactively searching massive data

    K. Wu;S. Ahern;E. W. Bethel;E. W. Bethel;J. Chen

  • Topology-Controlled Volume Rendering

    G.H. Weber;S.E. Dillard;H. Carr;V. Pascucci

  • Iso-geometric Finite Element Analysis Based on Catmull-Clark : ubdivision Solids

    Daniel Burkhart;Bernd Hamann;Georg Umlauf

  • Three-dimensional morphology and gene expression in the Drosophila blastoderm at cellular resolution I: data acquisition pipeline

    Cris L Luengo Hendriks;Soile V E Keränen;Charless C Fowlkes;Lisa Simirenko

  • Discrete Sibson interpolation

    S.W. Park;L. Linsen;O. Kreylos;J.D. Owens

  • Construction of vector field hierarchies

    Bjoern Heckel;Gunther Weber;Bernd Hamann;Kenneth I. Joy

  • Visualizing and modeling scattered multivariate data

    G.M. Nielson;T.A. Foley;B. Hamann;D. Lane

  • Topologically Clean Distance Fields

    A.G. Gyulassy;M.A. Duchaineau;Vijay Natarajan;V. Pascucci

  • Efficient Computation of Morse-Smale Complexes for Three-dimensional Scalar Functions

    A. Gyulassy;V. Natarajan;B. Hamann

  • A survey and performance analysis of software platforms for interactive cluster-based multi-screen rendering

    Oliver G. Staadt;Justin Walker;Christof Nuber;Bernd Hamann

  • Constructing hierarchies for triangle meshes

    T.S. Gieng;B. Hamann;K.I. Joy;G.L. Schussman

  • Topology-based simplification for feature extraction from 3D scalar fields

    Unknown

  • A magnification lens for interactive volume visualization

    E. LaMar;B. Hamann;K.I. Joy

  • Multiresolution techniques for interactive texture-based volume visualization

    Eric LaMar;Bernd Hamann;Kenneth I. Joy

  • Proceedings of IEEE Visualization '99

    David S. Ebert;Markus Gross;Bernd Hamann

Frequent Co-Authors

Kenneth I. Joy
Kenneth I. Joy University of California, Davis
Hans Hagen
Hans Hagen Technical University of Kaiserslautern
Valerio Pascucci
Valerio Pascucci University of Utah
Peer-Timo Bremer
Peer-Timo Bremer Lawrence Livermore National Laboratory
Gerik Scheuermann
Gerik Scheuermann Leipzig University
Charles Hansen
Charles Hansen University of Utah
Mark D. Biggin
Mark D. Biggin Lawrence Berkeley National Laboratory
Jan C. Aurich
Jan C. Aurich Technical University of Kaiserslautern
Cláudio T. Silva
Cláudio T. Silva New York University
Jitendra Malik
Jitendra Malik University of California, Berkeley

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