World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8746
World Ranking
5934
National Ranking
278

Heinrich Niemann 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 Heinrich Niemann 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: 392 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Heinrich Niemann 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 Heinrich Niemann 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: 49 D-Index — 60th percentile

60% 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

  • 2002 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition with applications to speech processing and image understanding, and for service to IAPR.

Overview

Heinrich Niemann is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans multiple fields with a primary focus on Biochemistry, Genetics and Molecular Biology, and Agricultural and Biological Sciences. Niemann's work is situated at the intersection of Ecology, Evolution, Behavior and Systematics, Genetics, and Molecular Biology, among other subfields.

The research topics central to Niemann's publications include:

  • Botany and Geology in Latin America and Caribbean
  • Genetic diversity and population structure
  • Reproductive Biology and Fertility
  • Animal Genetics and Reproduction
  • Plant Diversity and Evolution
  • Scarabaeidae Beetle Taxonomy and Biogeography
  • Genomics and Phylogenetic Studies

Niemann has contributed to several academic journals, with frequent publications in the South African Journal of Botany and Bioscientifica Proceedings. Other venues include Trends in Ecology & Evolution and Phytotaxa.

The scientist's recent scholarly articles include:

  • "Cryopreservation of pig embryos: adaptation of vitrification technology for embryo transfer" (2020), published in Bioscientifica Proceedings
  • "Species relationships and phylogenetic diversity of the African genus Encephalartos Lehm. (Zamiaceae)" (2022), published in South African Journal of Botany
  • "Leafing through genetic barcodes: An assessment of 14 years of plant DNA barcoding in South Africa" (2024), South African Journal of Botany
  • "Using a DNA barcoding approach to facilitate biosecurity: Identifying invasive alien macrophytes traded within the South African aquarium and pond plant industry" (2021), South African Journal of Botany
  • "Fire-mediated effects on polyploid biology" (2024), Trends in Ecology & Evolution

The scientist has collaborated frequently with several coauthors, including Michelle van der Bank, Ross D. Stewart, James A. R. Clugston, Kelsey L. Glennon, and Jane E. Williamson. These collaborations have contributed to advancements in their shared fields of study.

Throughout their career, Niemann has been recognized for contributions intersecting pattern recognition, speech processing, and image understanding, as indicated by the award of Fellow of the International Association for Pattern Recognition (IAPR) in 2002.

Best Publications

  • ERNEST: a semantic network system for pattern understanding

    H. Niemann;G.F. Sagerer;S. Schroder;F. Kummert

  • Statistical modeling and performance characterization of a real-time dual camera surveillance system

    M. Greiffenhagen;V. Ramesh;D. Comaniciu;H. Niemann

  • VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system

    E. Noth;A. Batliner;A. Kiessling;R. Kompe

  • Model based extraction of articulated objects in image sequences for gait analysis

    D. Meyer;J. Denzler;H. Niemann

  • Automated segmentation of the optic nerve head for diagnosis of glaucoma

    Radim Chrástek;Matthias Wolf;Klaus Donath;Heinrich Niemann

  • Pattern Analysis and Understanding

    Heinrich Niemann

  • Klassifikation von Mustern

    Heinrich Niemann

  • A refined ICP algorithm for robust 3-D correspondence estimation

    T. Zinsser;J. Schmidt;H. Niemann

  • Joint modeling of DNA sequence and physical properties to improve eukaryotic promoter recognition.

    Uwe Ohler;Heinrich Niemann;Guo Chun Liao;Gerald M. Rubin

  • "Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition]

    S. Steidl;M. Levit;A. Batliner;E. Noth

  • Towards understanding spontaneous speech: word accuracy vs. concept accuracy

    M. Boros;W. Eckert;F. Gallwitz;G. Gorz

  • Interpolated markov chains for eukaryotic promoter recognition.

    Uwe Ohler;Stefan Harbeck;Heinrich Niemann;Elmar Nöth

  • Design, analysis, and engineering of video monitoring systems: an approach and a case study

    M. Greiffenhagen;D. Comaniciu;H. Niemann;V. Ramesh

  • Principles of 3d Image Analysis and Synthesis

    Bernd Girod;Heinrich Niemann;Gunther Greiner

  • Dialog act classification with the help of prosody

    M. Mast;R. Kompe;S. Harbeck;A. Kiessling

  • Calibration of hand-held camera sequences for plenoptic modeling

    R. Koch;M. Pollefeys;B. Heigl;L. Van Gool

  • Control and explanation in a signal understanding environment

    F. Kummert;H. Niemann;R. Prechtel;G. Sagerer

  • Using Quaternions for Parametrizing 3-D Rotations in Unconstrained Nonlinear Optimization

    Jochen Schmidt;Heinrich Niemann

  • Gait Classification with HMMs for Trajectories of Body Parts Extracted by Mixture Densities.

    Dorthe Meyer;Josef Pösl;Heinrich Niemann

  • The Recognition of Emotion

    Anton Batliner;Richard Huber;Heinrich Niemann;Elmar Nöth

  • Proceedings of Vision, Modeling and Visualization 1999

    Bernd Girod;Heinrich Niemann;Hans-Peter Seidel

Frequent Co-Authors

Elmar Nöth
Elmar Nöth University of Erlangen-Nuremberg
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
Joachim Denzler
Joachim Denzler Friedrich Schiller University Jena
Gerhard Sagerer
Gerhard Sagerer Bielefeld University
Günther Greiner
Günther Greiner University of Erlangen-Nuremberg
Bernd Girod
Bernd Girod Stanford University
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Thomas Ertl
Thomas Ertl University of Stuttgart
Horst Bunke
Horst Bunke University of Bern
Joachim Hornegger
Joachim Hornegger University of Erlangen-Nuremberg

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 online degree options is a practical way to start or advance a career in Computer Science. Many students today choose to earn their credentials virtually for greater flexibility and affordability.

If you’re looking to launch your career quickly, you might consider earning one of the online associate degree programs now widely available. These programs allow you to gain essential tech skills and qualify for entry-level jobs in as little as two years.

For professionals seeking advanced specialization or management roles, there are the quickest masters degree online options. These accelerated programs can help you earn a master’s credential faster, saving you both time and tuition costs.

Unsure which graduate program to pursue? Reviewing what masters program should I do can guide you toward specialties in high demand, such as artificial intelligence, data analytics, or cybersecurity.

Finally, it’s important to consider cost. With the most affordable online colleges offering reputable computer science programs, you can achieve your educational goals without overwhelming student debt.

Best Scientists Citing Heinrich Niemann

Trending Scientists

Recently Published Articles