World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7781
World Ranking
8787
National Ranking
438

Hans Burkhardt 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 Hans Burkhardt 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: 208 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Hans Burkhardt 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 Hans Burkhardt 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Hans Burkhardt is affiliated with the University of Freiburg in Germany and contributes to the field of Biochemistry, Genetics and Molecular Biology. Their work spans areas within Oncology, Molecular Biology, and Cancer Research.

The research topics frequently addressed by Hans Burkhardt include:

  • Cutaneous Melanoma Detection and Management
  • Melanoma and MAPK Pathways
  • Cancer Genomics and Diagnostics

Hans Burkhardt has published articles in notable scientific venues such as:

  • Cancers
  • Journal of Science Humanities and Arts - JOSHA

Recent publications by Hans Burkhardt include:

  • Genetic and Methylation Analysis of CTNNB1 in Benign and Malignant Melanocytic Lesions, 2022, published in Cancers
  • Ein Beitrag zur Künstliche Intelligenz - A Contribution to Artificial Intelligence, 2023, published in Journal of Science Humanities and Arts - JOSHA

Hans Burkhardt often collaborates with several researchers, including:

  • Anne Zaremba
  • Philipp Jansen
  • Rajmohan Murali
  • Anand Mayakonda
  • Anna Riedel

Best Publications

  • Application of affine-invariant Fourier descriptors to recognition of 3-D objects

    K. Arbter;W.E. Snyder;H. Burkhardt;G. Hirzinger

  • Online handwriting recognition with support vector machines - a kernel approach

    C. Bahlmann;B. Haasdonk;H. Burkhardt

  • Robust vision-based localization by combining an image-retrieval system with Monte Carlo localization

    J. Wolf;W. Burgard;H. Burkhardt

  • Micro-Raman spectroscopic identification of bacterial cells of the genus Staphylococcus and dependence on their cultivation conditions

    M. Harz;P. Rösch;K. Peschke;Olaf Ronneberger

  • Data Analysis, Machine Learning, and Applications

    Christine Preisach;Hans Burkhardt;Lars Schmidt-Thieme;Reinhold Decker

  • The writer independent online handwriting recognition system frog on hand and cluster generative statistical dynamic time warping

    C. Bahlmann;H. Burkhardt

  • Object identification with tactile sensors using bag-of-features

    Alexander Schneider;Jurgen Sturm;Cyrill Stachniss;Marco Reisert

  • Using snakes to detect the intimal and adventitial layers of the common carotid artery wall in sonographic images.

    Da-chuan Cheng;Arno Schmidt-Trucksäss;Kuo-sheng Cheng;Hans Burkhardt

  • 4D phase contrast MRI at 3 T: effect of standard and blood-pool contrast agents on SNR, PC-MRA, and blood flow visualization.

    Jelena Bock;Alex Frydrychowicz;Aurélien F. Stalder;Thorsten A. Bley;Thorsten A. Bley

  • XuvTools: free, fast and reliable stitching of large 3D datasets.

    M. Emmenlauer;Olaf Ronneberger;A. Ponti;P. Schwarb

  • Robust vision-based localization for mobile robots using an image retrieval system based on invariant features

    J. Wolf;W. Burgard;H. Burkhardt

  • ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains

    Olaf Ronneberger;Kun Liu;Meta Rath;Dominik Rueβ

  • In vivo noninvasive 4D pressure difference mapping in the human aorta: phantom comparison and application in healthy volunteers and patients.

    Jelena Bock;Alex Frydrychowicz;Ramona Lorenz;Daniel Hirtler

  • State-of-the-art in content-based image and video retrieval

    Remco C. Veltkamp;Hans Burkhardt;Hans-Peter Kriegel

  • Spatial quantitative analysis of fluorescently labeled nuclear structures: problems, methods, pitfalls

    O. Ronneberger;D. Baddeley;F. Scheipl;Peter J. Verveer

  • Classification of lactic acid bacteria with UV-resonance Raman spectroscopy.

    K. Gaus;P. Rösch;R. Petry;K.-D. Peschke

  • Visualization of flow structures inside a circulating fluidized bed by means of laser sheet and image processing

    U Lackermeier;C Rudnick;J Werther;A Bredebusch

  • Identification of single eukaryotic cells with micro-Raman spectroscopy.

    P. Rösch;M. Harz;K. Peschke;Olaf Ronneberger

  • On-line monitoring and identification of bioaerosols.

    Petra Rösch;Michaela Harz;Klaus-Dieter Peschke;Olaf Ronneberger

  • A CONTENT-BASED IMAGE RETRIEVAL SCHEME IN JPEG COMPRESSED DOMAIN

    Zhe-Ming Lu;Hans Burkhardt

  • Robust Vision-Based Localization by Combining an Image-Retrieval System With Monte

    Jürgen Wolf;Wolfram Burgard;Hans Burkhardt

  • Data Analysis, Machine Learning and Applications: Proceedings of the 31st Annual Conference of the Gesellschaft fr Klassifikation e.V., Albert-Ludwigs-Universitt ... Data Analysis, and Knowledge Organization)

    Christine Preisach;Hans Burkhardt;Lars Schmidt-Thieme;Reinhold Decker

Frequent Co-Authors

Olaf Ronneberger
Olaf Ronneberger University of Freiburg
Jürgen Popp
Jürgen Popp Friedrich Schiller University Jena
Petra Rösch
Petra Rösch Friedrich Schiller University Jena
Thomas Brox
Thomas Brox University of Freiburg
Roland Nitschke
Roland Nitschke University of Freiburg
Wolfgang Driever
Wolfgang Driever University of Freiburg
Wolfram Burgard
Wolfram Burgard University of Technology Nuremberg
Klaus Palme
Klaus Palme University of Freiburg
Andreas Zell
Andreas Zell University of Tübingen
Michael Markl
Michael Markl Northwestern University

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