World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7721
World Ranking
9647
National Ranking
4088

Richard J. Radke 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 Richard J. Radke 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: 158 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Richard J. Radke 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 Richard J. Radke 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Richard J. Radke is affiliated with Rensselaer Polytechnic Institute in the United States. Their research primarily focuses on the domain of Computer Science, with a significant emphasis on Computer Vision and Pattern Recognition. Within this overarching field, their work spans areas such as Artificial Intelligence, Social Psychology, Ocean Engineering, and Biomedical Engineering.

The scientist's recent research contributions include studies published in venues such as arXiv (Cornell University), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the AAAI Conference on Artificial Intelligence, the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), and the journal Energy and Buildings.

Notable recent papers authored or co-authored by Richard J. Radke include:

  • A Broad Study on the Transferability of Visual Representations with Contrastive Learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data, 2021, arXiv (Cornell University)
  • A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • A zone-level occupancy counting system for commercial office spaces using low-resolution time-of-flight sensors, 2021, Energy and Buildings
  • Natural Language Video Moment Localization Through Query-Controlled Temporal Convolution, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The scientist frequently collaborates with a group of co-authors, including Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, and Rogério Feris, each contributing extensively alongside them across multiple publications.

Richard J. Radke's main research topics reflect a variety of specialized interests, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Analysis and Summarization

Best Publications

  • Image change detection algorithms: a systematic survey

    R.J. Radke;S. Andra;O. Al-Kofahi;B. Roysam

  • A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

    Srikrishna Karanam;Mengran Gou;Ziyan Wu;Angels Rates-Borras

  • Towards Visually Explaining Variational Autoencoders

    Wenqian Liu;Runze Li;Meng Zheng;Srikrishna Karanam

  • Re-Identification With Consistent Attentive Siamese Networks

    Meng Zheng;Srikrishna Karanam;Ziyan Wu;Richard J. Radke

  • Person Re-Identification with Discriminatively Trained Viewpoint Invariant Dictionaries

    Srikrishna Karanam;Yang Li;Richard J. Radke

  • Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells

    Omar Al-Kofahi;Richard J Radke;Susan K Goderie;Qin Shen

  • Model-based segmentation of medical imagery by matching distributions

    D. Freedman;R.J. Radke;Tao Zhang;Yongwon Jeong

  • Viewpoint Invariant Human Re-Identification in Camera Networks Using Pose Priors and Subject-Discriminative Features

    Ziyan Wu;Yang Li;Richard J. Radke

  • Keep Meeting Summaries on Topic: Abstractive Multi-Modal Meeting Summarization

    Manling Li;Lingyu Zhang;Heng Ji;Richard J. Radke

  • Detecting Dominant Motions in Dense Crowds

    A.M. Cheriyadat;R.J. Radke

  • Sparse re-id: Block sparsity for person re-identification

    Srikrishna Karanam;Yang Li;Richard J. Radke

  • DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset

    Mengran Gou;Srikrishna Karanam;Wenqian Liu;Octavia Camps

  • A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

    Ashraful Islam;Chengjiang Long;Richard J. Radke

  • A Sensor-Based Dual-Arm Tele-Robotic System

    Daniel Kruse;John T. Wen;Richard J. Radke

  • Distributed metric calibration of ad hoc camera networks

    Dhanya Devarajan;Richard J. Radke;Haeyong Chung

  • Level set segmentation with both shape and intensity priors

    Siqi Chen;Richard J. Radke

  • Segmenting the prostate and rectum in CT imagery using anatomical constraints

    Siqi Chen;D. Michael Lovelock;Richard J. Radke

  • Calibrating Distributed Camera Networks

    D. Devarajan;Zhaolin Cheng;R.J. Radke

  • Filling large holes in LiDAR data by inpainting depth gradients

    David Doria;Richard J. Radke

  • Keeping a Pan-Tilt-Zoom Camera Calibrated

    Ziyan Wu;R. J. Radke

  • Computer Vision for Visual Effects

    Richard J. Radke

Frequent Co-Authors

Octavia Camps
Octavia Camps Northeastern University
John T. Wen
John T. Wen Rensselaer Polytechnic Institute
Peter J. Ramadge
Peter J. Ramadge Princeton University
Badrinath Roysam
Badrinath Roysam University of Houston
Sanjeev R. Kulkarni
Sanjeev R. Kulkarni Princeton University
Rogerio Feris
Rogerio Feris IBM (United States)
Thomas D. C. Little
Thomas D. C. Little Boston University
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Arthur C. Sanderson
Arthur C. Sanderson Rensselaer Polytechnic Institute
Steve B Jiang
Steve B Jiang The University of Texas Southwestern Medical Center

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 degrees can open the door to a broad scope of technology and engineering disciplines closely linked to computer science. For those looking to enter the workforce quickly, consider an accelerated computer science degree, which offers a fast-track to industry-ready skills.

The growth of interdisciplinary tech careers means fields like environmental and mechanical engineering often overlap with computer science. Pursuing an environmental engineering degree online can prepare you to solve ecological challenges using advanced computing tools.

Those interested in product design or robotics may look for the cheapest online master's mechanical engineering programs, many of which now emphasize automation and data analysis. Similarly, an online physics degree can strengthen your problem-solving and analytical abilities—qualities highly valued in computer science roles.

Exploring these related degrees boosts your versatility and career options, whether you’re pursuing pure software development or combining multiple STEM disciplines.

Best Scientists Citing Richard J. Radke

Trending Scientists

Recently Published Articles