World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
14501
World Ranking
2233
National Ranking
1114

Dimitris Samaras 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 Dimitris Samaras 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: 255 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Dimitris Samaras 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 Dimitris Samaras 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Dimitris Samaras is affiliated with Stony Brook University in the United States and has contributed extensively to the field of computer science, focusing primarily on computer vision and pattern recognition. Their research output spans a wide range of topics including artificial intelligence, radiology and medical imaging, human-computer interaction, and cognitive neuroscience.

Their recent publications cover diverse areas in computer vision and artificial intelligence. Notable papers include:

  • Distribution Matching for Crowd Counting, 2020, published in arXiv (Cornell University)
  • Artificial intelligence in drug discovery: applications and techniques, 2021, published in Briefings in Bioinformatics
  • A systematic study of key elements underlying molecular property prediction, 2023, published in Nature Communications
  • Localization in the Crowd with Topological Constraints, 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Variational Feature Disentangling for Fine-Grained Few-Shot Classification, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

The scientist's frequent co-authors include Minh Hoai, Gregory J. Zelinsky, Hieu Lê, Prateek Prasanna, and Joel Saltz, indicating collaborative work across several research projects.

Publications appear often in venues such as:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Main fields of study for Dimitris Samaras focus on computer science, with subfields emphasizing:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Human-Computer Interaction
  • Cognitive Neuroscience

Their research topics cover applications of AI in various domains, such as:

  • AI in cancer detection
  • Visual Attention and Saliency Detection
  • Generative Adversarial Networks and Image Synthesis
  • Gaze Tracking and Assistive Technology
  • Face recognition and analysis
  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning

This profile reflects a comprehensive involvement in advancing computer vision, artificial intelligence, and medical imaging techniques, supported by a consistent record of publications and collaborations within these domains.

Best Publications

  • Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.

    Joel Saltz;Rajarsi Gupta;Le Hou;Tahsin Kurc

  • Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

    Le Hou;Dimitris Samaras;Tahsin M. Kurc;Yi Gao

  • Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

    Alexandre Abraham;Michael P. Milham;Adriana Di Martino;R. Cameron Craddock

  • Two-person interaction detection using body-pose features and multiple instance learning

    Kiwon Yun;Jean Honorio;Debaleena Chattopadhyay;Tamara L. Berg

  • Neural Face Editing with Intrinsic Image Disentangling

    Zhixin Shu;Ersin Yumer;Sunil Hadap;Kalyan Sunkavalli

  • Face recognition from a single training image under arbitrary unknown lighting using spherical harmonics

    Lei Zhang;D. Samaras

  • Face recognition under variable lighting using harmonic image exemplars

    Lie Zhang;D. Samaras

  • Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples

    Tomás F. Yago Vicente;Le Hou;Chen-Ping Yu;Minh Hoai

  • Shadow Detection with Conditional Generative Adversarial Networks

    Vu Nguyen;Tomas F. Yago Vicente;Maozheng Zhao;Minh Hoai

  • Dense non-rigid surface registration using high-order graph matching

    Yun Zeng;Chaohui Wang;Yang Wang;Xianfeng Gu

  • High Resolution Acquisition, Learning and Transfer of Dynamic 3‐D Facial Expressions

    Yang Wang;Xiaolei Huang;Chan-Su Lee;Song Zhang

  • Using multiple cues for hand tracking and model refinement

    Shan Lu;D. Metaxas;D. Samaras;J. Oliensis

  • Shadow Removal via Shadow Image Decomposition

    Hieu Le;Dimitris Samaras

  • Conformal Geometry and Its Applications on 3D Shape Matching, Recognition, and Stitching

    Sen Wang;Yang Wang;Miao Jin;X.D. Gu

  • Artificial intelligence in drug discovery: applications and techniques

    Jianyuan Deng;Zhibo Yang;Iwao Ojima;Dimitris Samaras

  • Real-time Accurate Object Detection using Multiple Resolutions

    Wei Zhang;G. Zelinsky;D. Samaras

  • High resolution tracking of non-rigid 3D motion of densely sampled data using harmonic maps

    Yang Wang;M. Gupta;Song Zhang;Sen Wang

  • Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

    Le Hou;Vu Nguyen;Ariel B. Kanevsky;Ariel B. Kanevsky;Dimitris Samaras

  • Leave-One-Out Kernel Optimization for Shadow Detection and Removal

    Tomas F. Yago Vicente;Minh Hoai;Dimitris Samaras

  • Ricci Flow for 3D Shape Analysis

    Wei Zeng;D. Samaras;D. Gu

  • Distribution Matching for Crowd Counting

    Boyu Wang;Huidong Liu;Dimitris Samaras;Minh Hoai

  • Deforming autoencoders: Unsupervised disentangling of shape and appearance

    Zhixin Shu;Mihir Sahasrabudhe;Rıza Alp Güler;Dimitris Samaras

  • Topology-Preserving Deep Image Segmentation

    Xiaoling Hu;Fuxin Li;Dimitris Samaras;Chao Chen

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Gregory J. Zelinsky
Gregory J. Zelinsky Stony Brook University
Tahsin Kurc
Tahsin Kurc Stony Brook University
Nikos Paragios
Nikos Paragios CentraleSupélec
Xianfeng Gu
Xianfeng Gu Stony Brook University
Rita Z. Goldstein
Rita Z. Goldstein Icahn School of Medicine at Mount Sinai
Dimitris N. Metaxas
Dimitris N. Metaxas Rutgers, The State University of New Jersey
Dardo Tomasi
Dardo Tomasi National Institutes of Health
Nelly Alia-Klein
Nelly Alia-Klein Icahn School of Medicine at Mount Sinai
Nora D. Volkow
Nora D. Volkow National Institutes of Health

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