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D-Index & Metrics

Computer Science

D-Index
38
Citations
6869
World Ranking
10156
National Ranking
509

Erhardt Barth 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 Erhardt Barth 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: 188 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Erhardt Barth 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 Erhardt Barth 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

Erhardt Barth is affiliated with the University of Lübeck in Germany. Their research primarily spans the fields of Computer Science and Medicine, with specific contributions in Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Signal Processing, and Electrical and Electronic Engineering.

Their work addresses several main research topics, including Advanced Neural Network Applications, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Human Pose and Action Recognition, Biometric Identification and Security, Face Recognition and Analysis, and Anomaly Detection Techniques and Applications.

Erhardt Barth has published recent papers that include the following titles:

  • "Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning" (2021) in Sensors
  • "Deep Convolutional Neural Networks for Unconstrained Ear Recognition" (2020) in IEEE Access
  • "COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans" (2021) in PeerJ Computer Science
  • "Towards Explainable Ear Recognition Systems Using Deep Residual Networks" (2021) in IEEE Access
  • "COVID-Nets: Deep CNN Architectures for Detecting COVID-19 Using Chest CT Scans" (2021) in bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors collaborating with Erhardt Barth include:

  • Thomas Martinetz
  • Philipp Grüning
  • Hammam Alshazly
  • Christoph Linse
  • Yaxin Hu

Common publication venues for Barth's research consist of:

  • arXiv (Cornell University)
  • IEEE Access
  • Journal of Perceptual Imaging
  • Sensors
  • PeerJ Computer Science

Best Publications

  • Time-of-Flight Cameras in Computer Graphics

    Andreas Kolb;Erhardt Barth;Reinhard Koch;Rasmus Larsen

  • Variability of eye movements when viewing dynamic natural scenes.

    Michael Dorr;Thomas Martinetz;Karl R. Gegenfurtner;Erhardt Barth

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • ACCURATE EYE CENTRE LOCALISATION BY MEANS OF GRADIENTS

    Fabian Timm;Erhardt Barth

  • Time-of-Flight Sensors in Computer Graphics

    Andreas Kolb;Erhardt Barth;Reinhard Koch;Rasmus Larsen

  • Fundamental limits of linear filters in the visual processing of two-dimensional signals.

    C. Zetzsche;E. Barth

  • A Hybrid Convolutional Variational Autoencoder for Text Generation

    Stanislau Semeniuta;Aliaksei Severyn;Erhardt Barth

  • Recurrent Dropout without Memory Loss

    Stanislau Semeniuta;Aliaksei Severyn;Erhardt Barth

  • Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.

    Hammam A. Alshazly;Christoph Linse;Erhardt Barth;Thomas Martinetz

  • Simple Method for High-Performance Digit Recognition Based on Sparse Coding

    K. Labusch;E. Barth;T. Martinetz

  • Low-level phenomenal vision despite unilateral destruction of primary visual cortex.

    Petra Stoerig;Erhardt Barth

  • Deep convolutional neural networks as generic feature extractors

    Lars Hertel;Erhardt Barth;Thomas Kaster;Thomas Martinetz

  • The importance of intrinsically two-dimensional image features in biological vision and picture coding

    Christof Zetzsche;Erhardt Barth;Bernhard Wegmann

  • ToF-sensors: New dimensions for realism and interactivity

    A. Kolb;E. Barth;R. Koch

  • Image encoding, labeling, and reconstruction from differential geometry

    Erhardt Barth;Terry Caelli;Christoph Zetzsche

  • Analysis of Superimposed Oriented Patterns

    T. Aach;C. Mota;I. Stuke;M. Muhlich

  • Sparse Coding Neural Gas: Learning of overcomplete data representations

    Kai Labusch;Erhardt Barth;Thomas Martinetz

  • Non-parametric texture defect detection using Weibull features

    Fabian Timm;Erhardt Barth

  • Analytic solutions for multiple motions

    C. Mota;L. Stuke;E. Barth

  • Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition.

    Hammam A. Alshazly;Christoph Linse;Erhardt Barth;Thomas Martinetz

  • Remote Eye Tracking: State of the Art and Directions for Future Development

    Martin Böhme;André Meyer;Thomas Martinetz;Erhardt Barth

Frequent Co-Authors

Thomas Martinetz
Thomas Martinetz University of Lübeck
Til Aach
Til Aach RWTH Aachen University
Karl R. Gegenfurtner
Karl R. Gegenfurtner University of Giessen
Terry Caelli
Terry Caelli Deakin University
Gerhard Krieger
Gerhard Krieger German Aerospace Center
Andreas Kolb
Andreas Kolb University of Siegen
Rasmus Larsen
Rasmus Larsen Technical University of Denmark
Reinhard Koch
Reinhard Koch Kiel University
Petra Stoerig
Petra Stoerig Heinrich Heine University Düsseldorf
Remco J. Renken
Remco J. Renken University Medical Center Groningen

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