World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
9185
World Ranking
5148
National Ranking
2368

Sinisa Todorovic 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 Sinisa Todorovic 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Sinisa Todorovic 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 Sinisa Todorovic 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Sinisa Todorovic is affiliated with Oregon State University in the United States. Their research primarily falls within the field of computer science, with a strong focus on computer vision and pattern recognition as well as artificial intelligence. They have also contributed to research in radiology, nuclear medicine and imaging, media technology, and oncology.

The work of Sinisa Todorovic covers various subfields, including:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Media Technology
  • Oncology

Their main research topics include:

  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning
  • Generative Adversarial Networks and Image Synthesis
  • Radiomics and Machine Learning in Medical Imaging

Recent publications by Sinisa Todorovic feature a range of topics and venues, showing active involvement in both conference and journal publications. These include:

  • DESTR: Object Detection with Split Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models, 2021, iScience
  • Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform, 2020, arXiv (Cornell University)
  • Multistage temporal convolution transformer for action segmentation, 2022, Image and Vision Computing
  • iFS-RCNN: An Incremental Few-shot Instance Segmenter, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent publication venues include:

  • arXiv (Cornell University)
  • Cancer Research
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Image and Vision Computing
  • Journal of Pathology Informatics

Sinisa Todorovic collaborates with several researchers, including:

  • Igor Mihajlovic
  • Ivana Medvedec Mikić
  • Claire Weston
  • Djordje Pavlovic
  • Misagh Naderi

Best Publications

  • Unsupervised Video Summarization with Adversarial LSTM Networks

    Behrooz Mahasseni;Michael Lam;Sinisa Todorovic

  • Local-Learning-Based Feature Selection for High-Dimensional Data Analysis

    Yijun Sun;Sinisa Todorovic;Steve Goodison

  • Adaptive boosting for SAR automatic target recognition

    Yijun Sun;Zhipeng Liu;S. Todorovic;Jian Li

  • Multiobject tracking as maximum weight independent set

    William Brendel;Mohamed Amer;Sinisa Todorovic

  • Monocular Depth Estimation Using Neural Regression Forest

    Anirban Roy;Sinisa Todorovic

  • Feature Weighting and Boosting for Few-Shot Segmentation

    Khoi Nguyen;Sinisa Todorovic

  • Learning spatiotemporal graphs of human activities

    William Brendel;Sinisa Todorovic

  • AFEW-VA database for valence and arousal estimation in-the-wild

    Jean Kossaifi;Georgios Tzimiropoulos;Sinisa Todorovic;Maja Pantic

  • Video object segmentation by tracking regions

    William Brendel;Sinisa Todorovic

  • Joint inference of groups, events and human roles in aerial videos

    Tianmin Shu;Dan Xie;Brandon Rothrock;Sinisa Todorovic

  • Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition

    Behrooz Mahasseni;Sinisa Todorovic

  • CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

    Tianmin Shu;Sinisa Todorovic;Song-Chun Zhu

  • Temporal Deformable Residual Networks for Action Segmentation in Videos

    Peng Lei;Sinisa Todorovic

  • The Planteome database:: an integrated resource for reference ontologies, plant genomics and phenomics

    Laurel Cooper;Austin Meier;Marie-Angélique Laporte;Justin L Elser

  • From contours to 3D object detection and pose estimation

    Nadia Payet;Sinisa Todorovic

  • Cost-Sensitive top-down/bottom-up inference for multiscale activity recognition

    Mohamed R. Amer;Dan Xie;Mingtian Zhao;Sinisa Todorovic

  • A Multi-scale CNN for Affordance Segmentation in RGB Images

    Anirban Roy;Sinisa Todorovic

  • HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos

    Mohamed Rabie Amer;Peng Lei;Sinisa Todorovic

  • Probabilistic event logic for interval-based event recognition

    William Brendel;Alan Fern;Sinisa Todorovic

  • Robust and efficient detection of DDoS attacks for large-scale internet

    Kejie Lu;Dapeng Wu;Jieyan Fan;Sinisa Todorovic

  • Fine-Grained Recognition as HSnet Search for Informative Image Parts

    Michael Lam;Behrooz Mahasseni;Sinisa Todorovic

Frequent Co-Authors

Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Song-Chun Zhu
Song-Chun Zhu Peking University
Alan Fern
Alan Fern Oregon State University
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University
Pankaj Jaiswal
Pankaj Jaiswal Oregon State University
Dapeng Wu
Dapeng Wu City University of Hong Kong
Joyce Y. Chai
Joyce Y. Chai University of Michigan–Ann Arbor
Maja Pantic
Maja Pantic Imperial College London
Barry Smith
Barry Smith University at Buffalo, State University of New York
Longin Jan Latecki
Longin Jan Latecki Temple University

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