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Rama Chellappa
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
143
Citations
92582
World Ranking
54
National Ranking
31

Rama Chellappa 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 Rama Chellappa 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: 1,103 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Rama Chellappa 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 Rama Chellappa 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: 143 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2020 - Jack S. Kilby Signal Processing Medal For contributions to image and video processing
  • 2020 - Fellow, National Academy of Inventors
  • 2015 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to Markov random fields, 3D recovery from single and mutiple images and image/video-based recognition
  • 2013 - ACM Fellow For contributions to image processing, computer vision, and pattern recognition.
  • 2012 - IAPR King-Sun Fu Prize For pioneering contributions to statistical methods for image- and video-based object recognition.
  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2009 - OSA Fellows For pioneering and sustained contributions to image and video-based pattern recognition and computer vision.
  • 1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to theory and applications of Markov Random Fields and computer vision

Overview

Rama Chellappa is affiliated with Johns Hopkins University in the United States. Their research mainly spans the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Biomedical Engineering.

The scientist's work addresses multiple topics in the domain of machine learning and pattern recognition, including:

  • Face recognition and analysis
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition

Rama Chellappa has published extensively, with frequent contributions to venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • The Journals of Gerontology Series A

Recent papers include:

  • Next-generation deep learning based on simulators and synthetic data, 2021, Trends in Cognitive Sciences
  • Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • An Automatic System for Unconstrained Video-Based Face Recognition, 2020, IEEE Transactions on Biometrics Behavior and Identity Science
  • Max-Margin Contrastive Learning, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Advances in Machine Learning and Deep Neural Networks, 2021, Proceedings of the IEEE

The scientist has collaborated frequently with colleagues such as Chun Pong Lau, Carlos D. Castillo, Hossein Souri, Joshua Gleason, and Vishal M. Patel.

In addition to journal and conference articles, Rama Chellappa has contributed to books published by Springer Science+Business Media and Johns Hopkins University Press, including titles like Computer Vision - ACCV 2022 and Can We Trust AI?

Rama Chellappa's recognitions include several fellowships and awards over the years, notably:

  • Jack S. Kilby Signal Processing Medal, 2020, for contributions to image and video processing
  • Fellow, National Academy of Inventors, 2020
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), 2015, for significant contributions to Markov random fields, 3D recovery from single and multiple images, and image/video-based recognition
  • ACM Fellow, 2013, for contributions to image processing, computer vision, and pattern recognition
  • IAPR King-Sun Fu Prize, 2012, for pioneering contributions to statistical methods for image- and video-based object recognition
  • Fellow of the American Association for the Advancement of Science (AAAS), 2011
  • OSA Fellow, 2009, for pioneering and sustained contributions to image and video-based pattern recognition and computer vision
  • Fellow of the International Association for Pattern Recognition (IAPR), 1996, for contributions to theory and applications of Markov Random Fields and computer vision

Best Publications

  • Face recognition: A literature survey

    W. Zhao;R. Chellappa;P. J. Phillips;A. Rosenfeld

  • Human and machine recognition of faces: a survey

    Unknown

  • Soft-NMS — Improving Object Detection with One Line of Code

    Navaneeth Bodla;Bharat Singh;Rama Chellappa;Larry S. Davis

  • Machine Recognition of Human Activities: A Survey

    P. Turaga;R. Chellappa;V.S. Subrahmanian;O. Udrea

  • Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group

    Raviteja Vemulapalli;Felipe Arrate;Rama Chellappa

  • Discriminant analysis for recognition of human face images

    Kamran Etemad;Rama Chellappa

  • HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition

    Rajeev Ranjan;Vishal M. Patel;Rama Chellappa

  • A method for enforcing integrability in shape from shading algorithms

    R.T. Frankot;R. Chellappa

  • Domain adaptation for object recognition: An unsupervised approach

    Raghuraman Gopalan;Ruonan Li;Rama Chellappa

  • Estimation of illuminant direction, albedo, and shape from shading

    Q. Zheng;R. Chellappa

  • Entropy rate superpixel segmentation

    Ming-Yu Liu;Oncel Tuzel;Srikumar Ramalingam;Rama Chellappa

  • Discriminant analysis of principal components for face recognition

    Wenyi Zhao;A. Krishnaswamy;R. Chellappa;D. L. Swets

  • Visual Domain Adaptation: A survey of recent advances

    Vishal M Patel;Raghuraman Gopalan;Ruonan Li;Rama Chellappa

  • Visual tracking and recognition using appearance-adaptive models in particle filters

    Shaohua Kevin Zhou;R. Chellappa;B. Moghaddam

  • Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

    Pouya Samangouei;Maya Kabkab;Rama Chellappa

  • Discriminant analysis of principal components for face recognition

    W. Zhao;R. Chellappa;A. Krishnaswamy

  • Identification of humans using gait

    A. Kale;A. Sundaresan;A.N. Rajagopalan;N.P. Cuntoor

  • Frontal to profile face verification in the wild

    Soumyadip Sengupta;Jun-Cheng Chen;Carlos Castillo;Vishal M. Patel

  • Classification of textures using Gaussian Markov random fields

    R. Chellappa;S. Chatterjee

  • Estimation of Object Motion Parameters from Noisy Images

    Ted J. Broida;Rama Chellappa

  • Estimation and choice of neighbors in spatial-interaction models of images

    R. Kashyap;R. Chellappa

Frequent Co-Authors

Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Pavan Turaga
Pavan Turaga Arizona State University
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan Carnegie Mellon University
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Azriel Rosenfeld
Azriel Rosenfeld University of Maryland, College Park
Amit K. Roy-Chowdhury
Amit K. Roy-Chowdhury University of California, Riverside
P. Jonathon Phillips
P. Jonathon Phillips National Institute of Standards and Technology
Nasser M. Nasrabadi
Nasser M. Nasrabadi West Virginia University
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras

External Links

Personal website of Rama Chellappa Google Scholar page

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