World's Best Scientists 2026 revealed!
Venkatesh Saligrama

Venkatesh Saligrama

D-Index & Metrics

Computer Science

D-Index
45
Citations
11395
World Ranking
7070
National Ranking
3104

Venkatesh Saligrama 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 Venkatesh Saligrama 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: 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.

Venkatesh Saligrama 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 Venkatesh Saligrama 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Venkatesh Saligrama is a researcher affiliated with Boston University in the United States. Their academic work primarily focuses on the field of Computer Science, with a concentration on Artificial Intelligence, Computer Vision and Pattern Recognition, and Management Science and Operations Research. Additional interests include Electrical and Electronic Engineering as well as Radiology, Nuclear Medicine, and Imaging.

The researcher's main topics of investigation encompass Domain Adaptation and Few-Shot Learning, Machine Learning and Algorithms, Advanced Neural Network Applications, and Advanced Bandit Algorithms Research. Other notable areas include Generative Adversarial Networks and Image Synthesis, Human Pose and Action Recognition, and Adversarial Robustness in Machine Learning.

Venkatesh Saligrama has several frequent co-authors who have collaborated on multiple publications. These include:

  • Aditya Gangrade
  • Samarth Mishra
  • Kate Saenko
  • Pengkai Zhu
  • Ruizhao Zhu

The researcher has published notably in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Nuclear Engineering and Technology
  • European Radiology
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Some of the recent published papers include:

  • "Federated Learning Based on Dynamic Regularization" (2021) - arXiv (Cornell University)
  • "Advances in gamma radiation detection systems for emergency radiation monitoring" (2020) - Nuclear Engineering and Technology
  • "Machine learning combining CT findings and clinical parameters improves prediction of length of stay and ICU admission in torso trauma" (2021) - European Radiology
  • "Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data" (2022) - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Interpretable Compositional Representations for Robust Few-Shot Generalization" (2022) - IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Man is to computer programmer as woman is to homemaker? debiasing word embeddings

    Tolga Bolukbasi;Kai-Wei Chang;James Zou;Venkatesh Saligrama

  • Zero-Shot Learning via Semantic Similarity Embedding

    Ziming Zhang;Venkatesh Saligrama

  • Zero-Shot Learning via Joint Latent Similarity Embedding

    Ziming Zhang;Venkatesh Saligrama

  • Video anomaly detection based on local statistical aggregates

    Venkatesh Saligrama;Zhu Chen

  • Boolean Compressed Sensing and Noisy Group Testing

    G. K. Atia;V. Saligrama

  • Abnormal events detection based on spatio-temporal co-occurences

    Unknown

  • Abnormal events detection based on spatio-temporal co-occurences

    Y Benezeth;P.-M Jodoin;V Saligrama;C Rosenberger

  • Federated Learning Based on Dynamic Regularization

    Durmus Alp Emre Acar;Yue Zhao;Ramon Matas Navarro;Matthew Mattina

  • Foreground-Adaptive Background Subtraction

    J.M. McHugh;J. Konrad;V. Saligrama;P.-M. Jodoin

  • Adaptive neural networks for efficient inference

    Tolga Bolukbasi;Joseph Wang;Ofer Dekel;Venkatesh Saligrama

  • Information Theoretic Bounds for Compressed Sensing

    S Aeron;V Saligrama;Manqi Zhao

  • Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links

    V. Saligrama;M. Alanyali;O. Savas

  • Video Anomaly Identification

    V Saligrama;J Konrad;P Jodoin

  • Prediction of hospitalization due to heart diseases by supervised learning methods.

    Wuyang Dai;Theodora S. Brisimi;William G. Adams;Theofanie Mela

  • Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms

    Chun Lam Chan;Pak Hou Che;Sidharth Jaggi;Venkatesh Saligrama

  • Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms

    Chun Lam Chan;Sidharth Jaggi;Venkatesh Saligrama;Samar Agnihotri

  • Anomaly Detection with Score functions based on Nearest Neighbor Graphs

    Manqi Zhao;Venkatesh Saligrama

  • Efficient Training of Very Deep Neural Networks for Supervised Hashing

    Ziming Zhang;Yuting Chen;Venkatesh Saligrama

  • Unique contributions of parvalbumin and cholinergic interneurons in organizing striatal networks during movement

    Howard J. Gritton;William M. Howe;William M. Howe;Michael F. Romano;Alexandra G. DiFeliceantonio;Alexandra G. DiFeliceantonio

  • Supervised Sequential Classification Under Budget Constraints

    Kirill Trapeznikov;Venkatesh Saligrama

  • Zero-Shot Recognition via Structured Prediction

    Ziming Zhang;Venkatesh Saligrama

Frequent Co-Authors

Prakash Ishwar
Prakash Ishwar Boston University
Pierre-Marc Jodoin
Pierre-Marc Jodoin Université de Sherbrooke
David A. Castanon
David A. Castanon Boston University
Janusz Konrad
Janusz Konrad Boston University
Csaba Szepesvári
Csaba Szepesvári University of Alberta
Alex Olshevsky
Alex Olshevsky Boston University
Kai-Wei Chang
Kai-Wei Chang University of California, Los Angeles
Brian Kulis
Brian Kulis Boston University
Julien M. Hendrickx
Julien M. Hendrickx Université Catholique de Louvain
Amir Leshem
Amir Leshem Bar-Ilan University

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