World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
9063
World Ranking
4405
National Ranking
2056

Ajay Divakaran 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 Ajay Divakaran 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Ajay Divakaran 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 Ajay Divakaran sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2011 - IEEE Fellow For contributions to multimedia content analysis

Overview

Ajay Divakaran is affiliated with SRI International in the United States and has contributed extensively to the field of computer science, particularly in artificial intelligence and computer vision. Their body of work includes research that spans several interrelated subfields such as domain adaptation, few-shot learning, explainable AI, and multimodal machine learning applications.

The scientist's recent scholarly publications demonstrate engagement with contemporary challenges in machine learning and computer vision. Notable papers include:

  • Confidence Calibration for Domain Generalization under Covariate Shift, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Generating and evaluating explanations of attended and error-inducing input regions for VQA models, 2021, Applied AI Letters
  • Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks, 2020, arXiv (Cornell University)
  • Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2, 2022, arXiv (Cornell University)

Their research contributions are distributed across a range of publication venues, mainly:

  • arXiv (Cornell University) with 29 publications
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Applied AI Letters
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Frequent collaborators include:

  • Karan Sikka (14 joint publications)
  • Yi Yao (9 joint publications)
  • Michael Cogswell (9 joint publications)
  • Yunye Gong (7 joint publications)
  • Meng Ye (7 joint publications)

Ajay Divakaran's scholarly output spans various main topics and subfields such as:

  • Main field: Computer Science (70 publications)
  • Subfields: Artificial Intelligence (46 publications), Computer Vision and Pattern Recognition (22 publications), Radiology, Nuclear Medicine and Imaging (4 publications), Cognitive Neuroscience (4 publications), Cancer Research (2 publications)
  • Main research topics: Domain Adaptation and Few-Shot Learning (28 publications), Multimodal Machine Learning Applications (22 publications), Topic Modeling (16 publications), Adversarial Robustness in Machine Learning (8 publications), Advanced Neural Network Applications (8 publications), Explainable Artificial Intelligence (XAI) (8 publications), COVID-19 diagnosis using AI (8 publications)

Ajay Divakaran was awarded IEEE Fellow status in 2011 for contributions to multimedia content analysis, recognizing their impact within this research community.

Best Publications

  • Algorithms and system for segmentation and structure analysis in soccer video

    Peng Xu;Lexing Xie;Shih-Fu Chang;A. Divakaran

  • Speech denoising using nonnegative matrix factorization with priors

    K.W. Wilson;B. Raj;P. Smaragdis;A. Divakaran

  • ZERO-SHOT OBJECT DETECTION

    Ankan Bansal;Karan Sikka;Gaurav Sharma;Rama Chellappa

  • Structure analysis of soccer video with hidden Markov models

    Lexing Xie;Shih-Fu Chang;Ajay Divakaran;Huifang Sun

  • Structure analysis of soccer video with domain knowledge and hidden Markov models

    Lexing Xie;Peng Xu;Shih-Fu Chang;Ajay Divakaran

  • MPEG-7 visual motion descriptors

    S. Jeannin;A. Divakaran

  • Audio analysis for surveillance applications

    R. Radhakrishnan;A. Divakaran;A. Smaragdis

  • Recognition and volume estimation of food intake using a mobile device

    Manika Puri;Zhiwei Zhu;Qian Yu;Ajay Divakaran

  • Recognizing salient video events through learning-based multimodal analysis of visual features and audio-based analytics

    Hui Cheng;Ajay Divakaran;Elizabeth Shriberg;Harpreet Singh Sawhney

  • Method and apparatus for transcoding of compressed image

    Anthony Vetro;Ajay Divakaran;Huifang Sun

  • Survey of compressed-domain features used in audio-visual indexing and analysis

    Hualu Wang;Ajay Divakaran;Anthony Vetro;Shih-Fu Chang

  • Evaluation of low-level features and their combinations for complex event detection in open source videos

    Amir Tamrakar;Saad Ali;Qian Yu;Jingen Liu

  • “Snap-n-Eat” Food Recognition and Nutrition Estimation on a Smartphone

    Weiyu Zhang;Qian Yu;Behjat Siddiquie;Ajay Divakaran

  • Audio events detection based highlights extraction from baseball, golf and soccer games in a unified framework

    Ziyou Xiong;R. Radhakrishnan;A. Divakaran;T.S. Huang

  • Transcoding method of compressed video

    Vetro A;Divakaran A;Sun H

  • Temporal-context-based video browsing interface for PVR-enabled television systems

    Samuel Shipman;Ajay Divakaran

  • A highlight scene detection and video summarization system using audio feature for a personal video recorder

    I. Otsuka;K. Nakane;A. Divakaran;K. Hatanaka

  • Food recognition using visual analysis and speech recognition

    Manika Puri;Zhiwei Zhu;Jeffrey Lubin;Tom Pschar

  • Multi-camera calibration, object tracking and query generation

    F. Porikli;A. Divakaran

  • Generation of sports highlights using motion activity in combination with a common audio feature extraction framework

    Z. Xiong;Regunathan Radhakrishnan;Ajay Divakaran

Frequent Co-Authors

Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
Huifang Sun
Huifang Sun Mitsubishi Electric (United States)
Lexing Xie
Lexing Xie Australian National University
Shih-Fu Chang
Shih-Fu Chang Columbia University
Harpreet Sawhney
Harpreet Sawhney Microsoft (United States)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Clifton Forlines
Clifton Forlines Draper Labs
B.S. Manjunath
B.S. Manjunath University of California, Santa Barbara
Yong Rui
Yong Rui Lenovo (China)
Shunichi Sekiguchi
Shunichi Sekiguchi Mitsubishi Electric (Japan)

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