World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
24111
World Ranking
1480
National Ranking
772

Harpreet Sawhney 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 Harpreet Sawhney 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: 213 publications — 51st percentile

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

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

Harpreet Sawhney 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 Harpreet Sawhney 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: 74 D-Index — 90th percentile

90% 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

  • 2012 - IEEE Fellow For contributions to video algorithms

Overview

Harpreet Sawhney is affiliated with Microsoft in the United States. Their research primarily focuses on computer science, with a strong emphasis on computer vision and pattern recognition, artificial intelligence, and industrial and manufacturing engineering.

The scientist's work covers several key topics, including:

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

Harpreet Sawhney has contributed to the following recent papers:

  • "Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "ShapeICP: Iterative Category-Level Object Pose and Shape Estimation From Depth," 2025, IEEE Robotics and Automation Letters
  • "Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation," 2022, arXiv (Cornell University)
  • "STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos," 2023, arXiv (Cornell University)

Their frequent collaborators include:

  • Ben Lundell
  • Sudipta N. Sinha
  • Peter Morales
  • Richard J. Radke
  • Ashraful Islam

Harpreet Sawhney's research has been disseminated through several publication venues, notably:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Robotics and Automation Letters

In recognition of their contributions, Harpreet Sawhney was named an IEEE Fellow in 2012, cited specifically for contributions to video algorithms.

Best Publications

  • Query by image and video content: the QBIC system

    M. Flickner;H. Sawhney;W. Niblack;J. Ashley

  • Efficient color histogram indexing for quadratic form distance functions

    J. Hafner;H.S. Sawhney;W. Equitz;M. Flickner

  • Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases

    Rakesh Agrawal;King-Ip Lin;Harpreet S. Sawhney;Kyuseok Shim

  • Compact representations of videos through dominant and multiple motion estimation

    H.S. Sawhney;S. Ayer

  • Object tracking with Bayesian estimation of dynamic layer representations

    Hai Tao;H.S. Sawhney;R. Kumar

  • True multi-image alignment and its application to mosaicing and lens distortion correction

    H.S. Sawhney;R. Kumar

  • Method and apparatus for total situational awareness and monitoring

    Manoj Aggarwal;Keith Hanna;Harpreet Sawhney;Vincent Paragano

  • A global matching framework for stereo computation

    H. Tao;H.S. Sawhney;R. Kumar

  • Method and apparatus for synthesizing new video and/or still imagery from a collection of real video and/or still imagery

    Harpreet Singh Sawhney;Hai Tao;Rakesh Kumar;Keith Hanna

  • Method for generating a three-dimensional model of a roof structure

    Vivek Verma;Rakesh Kumar;Stephen Charles Hsu;Harpreet Sawhney

  • Method and apparatus for processing images to compute image flow information

    Keith James Hanna;Rakesh Kumar;James Russell Bergen;Harpreet Singh Sawhney

  • Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection

    Jiangjian Xiao;Hui Cheng;Harpreet Sawhney;Cen Rao

  • Robust Video Mosaicing through Topology Inference and Local to Global Alignment

    Harpreet S. Sawhney;Steve Hsu;Rakesh Kumar

  • Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding

    Unknown

  • Aerial video surveillance and exploitation

    R. Kumar;H. Sawhney;S. Samarasekera;S. Hsu

  • Method and apparatus for performing local to global multiframe alignment to construct mosaic images

    Stephen Charles Hsu;Rakesh Kumar;Harpreet Singh Sawhney;James R Bergen

  • Method and apparatus for providing immersive surveillance

    Aydin Arpa;Keith J. Hanna;Rakesh Kumar;Supun Samarasekera

  • Method and apparatus for automatically generating a site model

    Yanlin Guo;Rakesh Kumar;Stephen Charles Hsu;Harpreet Singh Sawhney

  • Method and apparatus for processing images

    Keith Hanna;Rakesh Kumar;James Bergen;Harpreet Sawhney

  • Method and system for performing surveillance

    Manoj Aggarwal;Harpreet Sawhney;Supun Samarasakera;Rakesh Kumar

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

    Manika Puri;Zhiwei Zhu;Qian Yu;Ajay Divakaran

Frequent Co-Authors

Rakesh Kumar
Rakesh Kumar SRI International
Supun Samarasekera
Supun Samarasekera SRI International
Ying Shan
Ying Shan Tencent (China)
Rakesh Kumar
Rakesh Kumar University of Illinois at Urbana-Champaign
James R. Bergen
James R. Bergen SRI International
Ajay Divakaran
Ajay Divakaran SRI International
Peter J. Burt
Peter J. Burt SRI International
Zhiwei Zhu
Zhiwei Zhu SRI International
Mubarak Shah
Mubarak Shah University of Central Florida
Richard Szeliski
Richard Szeliski University of Washington

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