World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11780
World Ranking
4102
National Ranking
35

R. Venkatesh Babu 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 R. Venkatesh Babu 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: 250 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

R. Venkatesh Babu 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 R. Venkatesh Babu 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

R. Venkatesh Babu is affiliated with the Indian Institute of Science in India and has contributed extensively to the field of computer science, specializing in computer vision and pattern recognition. Their research portfolio includes numerous studies and publications focused on various subfields such as artificial intelligence, radiology and imaging, computational mechanics, and computer graphics.

Their recent notable papers include:

  • Towards Data-Free Model Stealing in a Hard Label Setting, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, 2020, arXiv (Cornell University)
  • S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • A Closer Look at Smoothness in Domain Adversarial Training, 2022, arXiv (Cornell University)

Their coauthors frequently include Varun Jampani, Sravanti Addepalli, Jogendra Nath Kundu, Harsh Rangwani, and Tejan Karmali. Collaborative work with these researchers has contributed to advancing knowledge in their fields of interest.

R. Venkatesh Babu has published in a range of venues with a high concentration in arXiv (Cornell University), producing 45 works there. Other regular venues include Lecture Notes in Computer Science, the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Munich Personal RePEc Archive, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Their research focuses on topics such as:

  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Generative Adversarial Networks and Image Synthesis

A book chapter authored by R. Venkatesh Babu is titled "Computer Vision, Pattern Recognition, Image Processing, and Graphics," published by Springer Science+Business Media in 2020.

Best Publications

  • Switching Convolutional Neural Network for Crowd Counting

    Deepak Babu Sam;Shiv Surya;R. Venkatesh Babu

  • DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs

    K. Ram Prabhakar;V Sai Srikar;R. Venkatesh Babu

  • CrowdNet: A Deep Convolutional Network for Dense Crowd Counting

    Lokesh Boominathan;Srinivas S S Kruthiventi;R. Venkatesh Babu

  • Data-free parameter pruning for Deep Neural Networks

    Suraj Srinivas;R. Venkatesh Babu

  • DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations

    Srinivas S. S. Kruthiventi;Kumar Ayush;R. Venkatesh Babu

  • DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data

    Swaminathan Gurumurthy;Ravi Kiran Sarvadevabhatla;R. Venkatesh Babu

  • A Taxonomy of Deep Convolutional Neural Nets for Computer Vision

    Suraj Srinivas;Ravi Kiran Sarvadevabhatla;Konda Reddy Mopuri;Nikita Prabhu

  • No-reference image quality assessment using modified extreme learning machine classifier

    S. Suresh;R. Venkatesh Babu;H. J. Kim

  • Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN

    Deepak Babu Sam;Neeraj N Sajjan;R. Venkatesh Babu;Mukundhan Srinivasan

  • Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection

    Deepak Babu Sam;Skand Vishwanath Peri;Mukuntha Narayanan Sundararaman;Amogh Kamath

  • Generalizable Data-Free Objective for Crafting Universal Adversarial Perturbations

    Konda Reddy Mopuri;Aditya Ganeshan;R. Venkatesh Babu

  • Universal Source-Free Domain Adaptation

    Jogendra Nath Kundu;Naveen Venkat;Rahul M;R. Venkatesh Babu

  • Training Sparse Neural Networks

    Suraj Srinivas;Akshayvarun Subramanya;R. Venkatesh Babu

  • AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation

    Jogendra Nath Kundu;Phani Krishna Uppala;Anuj Pahuja;R. Venkatesh Babu

  • Robust tracking with motion estimation and local Kernel-based color modeling

    R. Venkatesh Babu;Patrick Pérez;Patrick Bouthemy

  • Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation

    Srinivas S. S. Kruthiventi;Vennela Gudisa;Jaley H. Dholakiya;R. Venkatesh Babu

  • Fast Feature Fool: A data independent approach to universal adversarial perturbations

    Konda Reddy Mopuri;Utsav Garg;R. Venkatesh Babu

  • SeamSeg: Video Object Segmentation Using Patch Seams

    S. Avinash Ramakanth;R. Venkatesh Babu

  • Top-Down Feedback for Crowd Counting Convolutional Neural Network.

    Deepak Babu Sam;R. Venkatesh Babu

  • NAG: Network for Adversary Generation

    Konda Reddy Mopuri;Utkarsh Ojha;Utsav Garg;R. Venkatesh Babu

  • Zero-Shot Knowledge Distillation in Deep Networks

    Gaurav Kumar Nayak;Konda Reddy Mopuri;Vaisakh Shaj;R. Venkatesh Babu

  • 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image

    Priyanka Mandikal;K L Navaneet;Mayank Agarwal;R. Venkatesh Babu

Frequent Co-Authors

Sundaram Suresh
Sundaram Suresh Indian Institute of Science
Patrick Bouthemy
Patrick Bouthemy French Institute for Research in Computer Science and Automation - INRIA
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Manojit Pramanik
Manojit Pramanik Iowa State University
Hyoung Joong Kim
Hyoung Joong Kim Korea University

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