World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7124
World Ranking
9272
National Ranking
3945

Prakash Ishwar 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 Prakash Ishwar 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: 188 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Prakash Ishwar 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 Prakash Ishwar 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Prakash Ishwar is affiliated with Boston University in the United States and has contributed extensively to the field of computer science, with a focus on computer vision and pattern recognition, artificial intelligence, and cognitive neuroscience. Their body of work spans 49 publications primarily within these domains.

Their research interests cover several specialized topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Neurobiology of Language and Bilingualism
  • Complex Network Analysis Techniques

Prakash Ishwar frequently publishes in venues such as arXiv (Cornell University) with 15 works, IEEE Access with 4 publications, as well as conferences and journals including the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Frontiers in Digital Health, and Energy and Buildings.

Their recent papers include:

  • "WEPDTOF: A Dataset and Benchmark Algorithms for In-the-Wild People Detection and Tracking from Overhead Fisheye Cameras," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "Consistent long-term practice leads to consistent improvement: Benefits of self-managed therapy for language and cognitive deficits using a digital therapeutic," 2023, Frontiers in Digital Health
  • "High-accuracy people counting in large spaces using overhead fisheye cameras," 2024, Energy and Buildings
  • "Conditional entropy minimization principle for learning domain invariant representation features," 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
  • "Automatic Identification of the Main Ionospheric Trough in Total Electron Content Images," 2022, Space Weather

Notable frequent co-authors collaborating with Prakash Ishwar include:

  • Janusz Konrad
  • Shuchin Aeron
  • Thuan Nguyen
  • Mertcan Cokbas
  • Boyang Lyu

Their work integrates multidisciplinary approaches combining computer vision, machine learning, and aspects of biomedical engineering, contributing to developments in areas such as video surveillance, neural network applications, and cognitive neuroscience.

Best Publications

  • Changedetection.net: A new change detection benchmark dataset

    Nil Goyette;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • CDnet 2014: An Expanded Change Detection Benchmark Dataset

    Yi Wang;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

  • On compressing encrypted data

    M. Johnson;P. Ishwar;V. Prabhakaran;D. Schonberg

  • Big Social Data Analytics in Journalism and Mass Communication: Comparing Dictionary-Based Text Analysis and Unsupervised Topic Modeling

    Lei Guo;Chris J. Vargo;Zixuan Pan;Weicong Ding

  • Distributed video coding in wireless sensor networks

    R. Puri;A. Majumdar;P. Ishwar;K. Ramchandran

  • A gesture-driven computer interface using Kinect

    Kam Lai;Janusz Konrad;Prakash Ishwar

  • Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow

    Kai Guo;Prakash Ishwar;Janusz Konrad

  • 2D-to-3D image conversion by learning depth from examples

    Janusz Konrad;Meng Wang;Prakash Ishwar

  • Action Recognition From Video Using Feature Covariance Matrices

    Kai Guo;P. Ishwar;J. Konrad

  • Learning-Based, Automatic 2D-to-3D Image and Video Conversion

    Janusz Konrad;Meng Wang;Prakash Ishwar;Chen Wu

  • Secure Biometrics: Concepts, Authentication Architectures, and Challenges

    S. Rane;Ye Wang;S. C. Draper;P. Ishwar

  • Image saliency: From intrinsic to extrinsic context

    Meng Wang;Janusz Konrad;Prakash Ishwar;Kevin Jing

  • On rate-constrained distributed estimation in unreliable sensor networks

    P. Ishwar;R. Puri;K. Ramchandran;S.S. Pradhan

  • Some Results on Distributed Source Coding for Interactive Function Computation

    Nan Ma;P. Ishwar

  • VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition

    Jiawei Chen;Janusz Konrad;Prakash Ishwar

  • BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos

    M. Ozan Tezcan;Prakash Ishwar;Janusz Konrad

  • Distributed sampling for dense sensor networks: a Bit-conservation principle

    Prakash Ishwar;Animesh Kumar;Kannan Ramchandran

  • A novel video dataset for change detection benchmarking.

    Nil Goyette;Pierre-Marc Jodoin;Fatih Murat Porikli;Janusz Konrad

  • Towards a theory for video coding using distributed compression principles

    Prakash Ishwar;V.M. Prabhakaran;Kannan Ramchandran

  • Video Condensation by Ribbon Carving

    Zhuang Li;P. Ishwar;J. Konrad

Frequent Co-Authors

Janusz Konrad
Janusz Konrad Boston University
Venkatesh Saligrama
Venkatesh Saligrama Boston University
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Pierre Moulin
Pierre Moulin University of Illinois at Urbana-Champaign
Margrit Betke
Margrit Betke Boston University
Stark C. Draper
Stark C. Draper University of Toronto
Jan M. Rabaey
Jan M. Rabaey University of California, Berkeley
Fatih Porikli
Fatih Porikli Australian National University
Pierre-Marc Jodoin
Pierre-Marc Jodoin Université de Sherbrooke
William Clement Karl
William Clement Karl Boston University

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