World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5936
World Ranking
12060
National Ranking
599

Peter Eisert 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 Peter Eisert 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: 294 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

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

Peter Eisert 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 Peter Eisert 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Peter Eisert is affiliated with Humboldt-Universität zu Berlin in Germany. Their research primarily focuses on computer science and engineering, with particular emphasis on computer vision and pattern recognition, artificial intelligence, computational mechanics, biomedical engineering, and computer graphics and computer-aided design.

Their work spans several main topics, including:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Face recognition and analysis
  • Robotics and Sensor-Based Localization
  • Advanced Neural Network Applications

Peter Eisert has contributed to numerous scholarly articles published in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Current Directions in Biomedical Engineering
  • Sensors
  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
  • Scientific Reports

Recent publications authored or co-authored by Peter Eisert consist of the following works:

  • "Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture," 2021, published in Agronomy
  • "Accurate and robust neural networks for face morphing attack detection," 2020, published in Journal of Information Security and Applications
  • "Interactive facial animation with deep neural networks," 2020, published in IET Computer Vision
  • "Multi-View Mesh Reconstruction with Neural Deferred Shading," 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope," 2020, published in Sensors

Throughout their career, Peter Eisert has collaborated extensively with several researchers, frequently co-authoring papers with:

  • Anna Hilsmann
  • Eric L. Wisotzky
  • Sebastian Bosse
  • Ingo Feldmann
  • Oliver Schreer

The combination of Peter Eisert's work reflects a broad engagement with multiple aspects of advanced imaging, neural networks, and computer graphics that intersect with engineering and biomedical applications. Their publication record highlights significant involvement in both theoretical and applied research within these fields.

Best Publications

  • Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet

    Jorge Posada;Carlos Toro;Inigo Barandiaran;David Oyarzun

  • 3D Video and Free Viewpoint Video - Technologies, Applications and MPEG Standards

    Aljoscha Smolic;Karsten Mueller;Philipp Merkle;Christoph Fehn

  • Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture

    Maria Teresa Linaza;Jorge Posada;Jürgen Bund;Peter Eisert

  • Analyzing facial expressions for virtual conferencing

    P. Eisert;B. Girod

  • Multi-hypothesis, volumetric reconstruction of 3-D objects from multiple calibrated camera views

    P. Eisert;E. Steinbach;B. Girod

  • Platform for distributed 3D gaming

    A. Jurgelionis;P. Fechteler;P. Eisert;F. Bellotti

  • Detection of Face Morphing Attacks by Deep Learning

    Clemens Seibold;Wojciech Samek;Anna Hilsmann;Peter Eisert;Peter Eisert

  • Automatic reconstruction of stationary 3-D objects from multiple uncalibrated camera views

    P. Eisert;E. Steinbach;B. Girod

  • Digital watermarking of MPEG-4 facial animation parameters

    Frank Hartung;Peter Eisert;Bernd Girod

  • Adaptive colour classification for structured light systems

    P. Fechteler;P. Eisert

  • Model-aided coding: a new approach to incorporate facial animation into motion-compensated video coding

    P. Eisert;T. Wiegand;B. Girod

  • Games@large graphics streaming architecture

    I. Nave;H. David;A. Shani;Y. Tzruya

  • Predictive compression of dynamic 3D meshes

    K. Muller;A. Smolic;M. Kautzner;P. Eisert

  • Fast and High Resolution 3D Face Scanning

    P. Fechteler;P. Eisert;J. Rurainsky

  • Free viewpoint video extraction, representation, coding, and rendering

    A. Smolic;K. Mueller;P. Merkle;T. Rein

  • Capturing panoramic or semi-panoramic 3d scenes

    Joachim Schuessler;Peter Kauff;Christian Weissig;Peter Eisert

  • Tracking and Retexturing Cloth for Real-Time Virtual Clothing Applications

    Anna Hilsmann;Peter Eisert

  • The Stereoscopic Analyzer — An image-based assistance tool for stereo shooting and 3D production

    Frederik Zilly;Marcus Muller;Peter Eisert;Peter Kauff

  • Immersive 3D video conferencing: challenges, concepts, and implementation

    Peter Eisert

  • Model-aided coding of multi-viewpoint image data

    M. Magnor;P. Eisert;B. Girod

  • Accurate and robust neural networks for face morphing attack detection

    Clemens Seibold;Wojciech Samek;Anna Hilsmann;Peter Eisert;Peter Eisert

  • Adaptive color classification for structured light systems

    P. Fechteler;P. Eisert

  • Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

    Max Allan;A. Jonathan McLeod;Cong Cong Wang;Jean-Claude Rosenthal

Frequent Co-Authors

Bernd Girod
Bernd Girod Stanford University
Thomas Wiegand
Thomas Wiegand Technical University of Berlin
Eckehard Steinbach
Eckehard Steinbach Technical University of Munich
Marcus Magnor
Marcus Magnor Technische Universität Braunschweig
Didier Stricker
Didier Stricker German Research Centre for Artificial Intelligence
Noel E. O'Connor
Noel E. O'Connor Dublin City University
Petros Daras
Petros Daras Information Technologies Institute, Greece
Francesco Bellotti
Francesco Bellotti University of Genoa
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Peter J. B. Hancock
Peter J. B. Hancock University of Stirling

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 education in Computer Science offers flexibility, affordability, and a wide range of career outcomes. Students interested in reducing costs can consider cheap online college classes to help minimize debt while building key technical skills.

For learners concerned about their academic record, numerous universities for low gpa offer quality online programs, providing opportunities to pursue a computer science degree even with a less-than-perfect GPA.

Degree holders can follow traditional tech roles or branch out. For example, individuals with backgrounds in elementary education or environmental science may pursue unique technology-driven roles—see more about jobs with elementary education and environmental science degree to discover how computing skills can complement other fields.

Motivated students seeking rapid entry to the workforce can find fast track computer science degree options, which compact coursework into shorter time frames without sacrificing educational rigor.

Best Scientists Citing Peter Eisert

Trending Scientists

Recently Published Articles