World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
8663
World Ranking
10035
National Ranking
505

Michael Wand 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 Wand 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Michael Wand 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 Wand 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Michael Wand is affiliated with Johannes Gutenberg University of Mainz in Germany. Their research primarily spans the fields of Computer Science and Engineering, with a strong focus on specialized subfields such as Artificial Intelligence, Materials Chemistry, Biomedical Engineering, Computer Vision and Pattern Recognition, and Molecular Biology.

The scientist's work covers a variety of major topics, including:

  • Machine Learning in Materials Science
  • Block Copolymer Self-Assembly
  • Advanced Text Analysis Techniques
  • Muscle activation and electromyography studies
  • Meteorological Phenomena and Simulations
  • Wind and Air Flow Studies
  • Fire effects on ecosystems

Michael Wand has contributed to numerous publications, with frequent appearances in venues such as arXiv (Cornell University), where they have published 8 works. Other publication venues include European Urology, Journal of NeuroEngineering and Rehabilitation, Chemical Science, and Journal of Computational Science.

Among their recent papers are:

  • Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides, 2020, European Urology
  • User training for machine learning controlled upper limb prostheses: a serious game approach, 2021, Journal of NeuroEngineering and Rehabilitation
  • Reagent prediction with a molecular transformer improves reaction data quality, 2023, Chemical Science
  • Adversarial reverse mapping of condensed-phase molecular structures: Chemical transferability, 2021, arXiv (Cornell University)
  • End-to-End Prediction of Lightning Events from Geostationary Satellite Images, 2022, Preprints.org

The scientist frequently collaborates with other researchers including Jürgen Schmidhuber, Mikhail G. Andronov, Marc Stieffenhofer, Tristan Bereau, and Djork-Arné Clevert.

Best Publications

  • Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

    Chuan Li;Michael Wand

  • Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

    Chuan Li;Michael Wand

  • Pattern-aware Deformation Using Sliding Dockers

    Martin Bokeloh;Michael Wand;Vladlen Koltun;Hans-Peter Seidel

  • Symmetry in 3D Geometry: Extraction and Applications

    Niloy J. Mitra;Mark Pauly;Michael Wand;Duygu Ceylan

  • Interactive rendering of large volume data sets

    S. Guthe;M. Wand;J. Gonser;W. Strasser

  • Optimal HDR reconstruction with linear digital cameras

    Miguel Granados;Boris Ajdin;Michael Wand;Christian Theobalt

  • Structure-aware shape processing

    Niloy J. Mitra;Michael Wand;Hao Zhang;Daniel Cohen-Or

  • Lipreading with long short-term memory

    Michael Wand;Jan Koutnik;Jurgen Schmidhuber

  • Modeling coarticulation in EMG-based continuous speech recognition

    Tanja Schultz;Michael Wand

  • A connection between partial symmetry and inverse procedural modeling

    Martin Bokeloh;Michael Wand;Hans-Peter Seidel

  • The randomized z-buffer algorithm: interactive rendering of highly complex scenes

    Michael Wand;Matthias Fischer;Ingmar Peter;Friedhelm Meyer auf der Heide

  • Biosignal-Based Spoken Communication: A Survey

    Tanja Schultz;Michael Wand;Thomas Hueber;Dean J. Krusienski

  • Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data

    Michael Wand;Bart Adams;Maksim Ovsjanikov;Alexander Berner

  • Symmetry Detection Using Feature Lines

    Martin Bokeloh;Alexander Berner;Michael Wand;Michael Wand;Hans-Peter Seidel

  • Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological Slides.

    Ann-Christin Woerl;Markus Eckstein;Josephine Geiger;Daniel C. Wagner

  • Bayesian Point Cloud Reconstruction

    Philipp Jenke;Michael Wand;Martin Bokeloh;Andreas Schilling

  • Isometric registration of ambiguous and partial data

    Art Tevs;Martin Bokeloh;Michael Wand;Andreas Schilling

  • Reconstruction of deforming geometry from time-varying point clouds

    Michael Wand;Philipp Jenke;Qixing Huang;Martin Bokeloh

  • Animation cartography—intrinsic reconstruction of shape and motion

    Art Tevs;Alexander Berner;Michael Wand;Ivo Ihrke

  • A graph-based approach to symmetry detection

    A. Berner;M. Bokeloh;M. Wand;A. Schilling

  • Markerless Motion Capture with unsynchronized moving cameras

    Nils Hasler;Bodo Rosenhahn;Thorsten Thormahlen;Michael Wand

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Tanja Schultz
Tanja Schultz University of Bremen
Jürgen Schmidhuber
Jürgen Schmidhuber King Abdullah University of Science and Technology
Niloy J. Mitra
Niloy J. Mitra University College London
Wolfgang Straßer
Wolfgang Straßer University of Tübingen
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Qixing Huang
Qixing Huang The University of Texas at Austin
Mark Pauly
Mark Pauly École Polytechnique Fédérale de Lausanne
Reinhard Klein
Reinhard Klein University of Bonn
Philipp Slusallek
Philipp Slusallek Saarland University

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 Computer Science in the USA opens doors to multiple online degree options and flexible career pathways. Students can tailor their educational journey by considering various program types, from fast-track certificates to advanced graduate degrees. Many online programs now offer 1 year associate degree programs online, allowing students to quickly gain job-ready skills or prepare for further education.

Affordability and accessibility have become major factors for prospective students. It’s possible to find the most affordable online colleges that provide accredited courses without breaking the bank. For those concerned about past academic performance, there are also the best colleges for low gpa, which make higher education more accessible to a wider audience.

When considering further study, it’s important to carefully choose the right specialization. Researching what masters program should i do can help you understand which degrees are most valuable and in demand, supporting your long-term career prospects in a competitive industry.

Best Scientists Citing Michael Wand

Trending Scientists

Recently Published Articles