World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
10828
World Ranking
8649
National Ranking
522

Gerald Schaefer 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 Gerald Schaefer 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: 488 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Gerald Schaefer 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 Gerald Schaefer 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

Gerald Schaefer is affiliated with Loughborough University in the United Kingdom. Their research primarily focuses on computer science, with a significant emphasis on subfields such as computer vision and pattern recognition, artificial intelligence, computational theory and mathematics, ocean engineering, and media technology.

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

  • Metaheuristic Optimization Algorithms Research
  • Advanced Image and Video Retrieval Techniques
  • Digital Media Forensic Detection
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • AI in cancer detection

Gerald Schaefer has published extensively, with several recent papers demonstrating their involvement in both medical imaging and remote sensing applications. Notable publications include:

  • Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification, 2020, Computer Methods and Programs in Biomedicine
  • Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images, 2021, Computers in Biology and Medicine
  • Image Disentanglement Autoencoder for Steganography without Embedding, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks, 2022, 2022 26th International Conference on Pattern Recognition (ICPR)

Their collaboration network includes frequent co-authors such as Hui Fang, Seyed Jalaleddin Mousavirad, Xiyao Liu, Diego Oliva, and Kunhao Yuan, indicating active cooperation in research projects and publications.

Gerald Schaefer publishes regularly in several venues, notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Pattern Recognition
  • Knowledge-Based Systems
  • Neurocomputing

This publication record emphasizes a focus on interdisciplinary areas, which combine image processing, neural networks, and optimization algorithms with practical applications in biomedicine and engineering. The scientist's contributions span foundational research and applied methodologies in computer vision and artificial intelligence fields.

Best Publications

  • UCID: an uncompressed color image database

    Gerald Schaefer;Michal Stich

  • Lesion border detection in dermoscopy images.

    M.Emre Celebi;Hitoshi Iyatomi;Gerald Schaefer;William V. Stoecker

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • Cost-sensitive decision tree ensembles for effective imbalanced classification

    Bartosz Krawczyk;Michał Woniak;Gerald Schaefer

  • Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.

    Amirreza Mahbod;Gerald Schaefer;Chunliang Wang;Georg Dorffner

  • Illuminant and device invariant colour using histogram equalisation

    Graham D. Finlayson;Steven D. Hordley;Gerald Schaefer;Gui Yun Tian

  • Skin Lesion Classification Using Hybrid Deep Neural Networks

    Amirreza Mahbod;Gerald Schaefer;Chunliang Wang;Rupert Ecker

  • Thermography based breast cancer analysis using statistical features and fuzzy classification

    Gerald Schaefer;Michal Závišek;Tomoharu Nakashima

  • Lesion Border Detection in Dermoscopy Images Using Ensembles of Thresholding Methods

    M. Emre Celebi;Quan Wen;Sae Hwang;Hitoshi Iyatomi

  • Fusing fine-tuned deep features for skin lesion classification.

    Amirreza Mahbod;Gerald Schaefer;Isabella Ellinger;Rupert Ecker

  • Anisotropic Mean Shift Based Fuzzy C-Means Segmentation of Dermoscopy Images

    Huiyu Zhou;G. Schaefer;A.H. Sadka;M.E. Celebi

  • Solving for Colour Constancy using a Constrained Dichromatic Reflection Model

    Graham D. Finlayson;Gerald Schaefer

  • Rough Sets and Near Sets in Medical Imaging: A Review

    A.E. Hassanien;A. Abraham;J.F. Peters;G. Schaefer

  • Colour and contrast enhancement for improved skin lesion segmentation

    Gerald Schaefer;Maher I. Rajab;M. Emre Celebi;Hitoshi Iyatomi

  • Mean shift based gradient vector flow for image segmentation

    Huiyu Zhou;Xuelong Li;Gerald Schaefer;M. Emre Celebi

  • Deep-Learning-Based Multispectral Satellite Image Segmentation for Water Body Detection

    Kunhao Yuan;Xu Zhuang;Gerald Schaefer;Jianxin Feng

  • Gradient vector flow with mean shift for skin lesion segmentation.

    Huiyu Zhou;Gerald Schaefer;M. Emre Celebi;Faquan Lin

  • Distributed Task Rescheduling With Time Constraints for the Optimization of Total Task Allocations in a Multirobot System

    Joanna Turner;Qinggang Meng;Gerald Schaefer;Amanda Whitbrook

  • An ensemble classification approach for melanoma diagnosis

    Gerald Schaefer;Bartosz Krawczyk;M. Emre Celebi;Hitoshi Iyatomi

  • A weighted fuzzy classifier and its application to image processing tasks

    Tomoharu Nakashima;Gerald Schaefer;Yasuyuki Yokota;Hisao Ishibuchi

  • A next generation browsing environment for large image repositories

    Gerald Schaefer

Frequent Co-Authors

M. Emre Celebi
M. Emre Celebi University of Central Arkansas
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Huiyu Zhou
Huiyu Zhou University of Leicester
Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Graham D. Finlayson
Graham D. Finlayson University of East Anglia
Guoping Qiu
Guoping Qiu University of Nottingham
William V. Stoecker
William V. Stoecker Missouri University of Science and Technology
Ajith Abraham
Ajith Abraham Sai University
James F. Peters
James F. Peters University of Manitoba

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