World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
88
Citations
43394
World Ranking
665
National Ranking
355

Narendra Ahuja 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 Narendra Ahuja 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: 495 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Narendra Ahuja 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 Narendra Ahuja 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: 88 D-Index — 95th percentile

95% 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

  • 2014 - IAPR P. Zamperoni Award Generalized Radial Alignment Constraint for Camera Calibration
  • 1996 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to computer vision, including texture analysis, dot pattern clustering, and image segmentation
  • 1996 - ACM Fellow For contributions to computer vision including hierarchical representation, active sensing, analysis guided synthesis, multidimensional modeling, computational sensors, and multiprocessor architectures.
  • 1996 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1995 - SPIE Fellow
  • 1992 - IEEE Fellow For contributions to three-dimensional computer vision.
  • 1992 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the integration of multiple cues for three-dimensional and active vision; object representation and path planning; and multiprocessor architectures for computer vision.

Overview

Narendra Ahuja is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily resides within the domain of computer science, with a focus on several specialized subfields including computer vision and pattern recognition, artificial intelligence, signal processing, small animals, and pulmonary and respiratory medicine.

Their recent publications reflect a diverse research scope, spanning agriculture, medical applications, and fundamental advances in AI-driven vision techniques. Notable papers include:

  • "Barriers to computer vision applications in pig production facilities," 2022, published in Computers and Electronics in Agriculture
  • "Estimation of Respiratory Rate from Breathing Audio," 2022, presented at the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • "CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen," 2024, featured in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Promote computer vision applications in pig farming scenarios: high-quality dataset, fundamental models, and comparable performance," 2024, published in Journal of Integrative Agriculture
  • "Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning," 2024, published in Journal of Experimental Botany

Their research addresses themes such as human pose and action recognition, advanced vision and imaging, animal behavior and welfare studies, music and audio processing, food supply chain traceability, phonocardiography and auscultation techniques, and non-invasive vital sign monitoring.

Frequent collaborators include Frede Blaabjerg, Dushan Boroyevich, Hsiao-Dong Chiang, Kukjin Chun, and Dominique Collard, each having coauthored multiple publications with Ahuja.

Their work has been published in various venues, regularly contributing to archives such as arXiv (Cornell University), IEEJ Transactions on Electrical and Electronic Engineering, the IEEE/CVF International Conference on Computer Vision (ICCV), Computers and Electronics in Agriculture, and the IEEE Engineering in Medicine & Biology Society conference.

Narendra Ahuja has received several awards and distinctions, including the IAPR P. Zamperoni Award in 2014 for work on camera calibration. They have been recognized as a fellow by multiple organizations: the International Association for Pattern Recognition (IAPR) in 1996 for contributions to computer vision techniques such as texture analysis and image segmentation; the American Association for the Advancement of Science (AAAS) in 1996; the ACM in 1996 for work on hierarchical representation and active sensing; SPIE in 1995; IEEE in 1992 for three-dimensional computer vision; and the Association for the Advancement of Artificial Intelligence (AAAI) in 1992 for contributions to 3D and active vision systems as well as multiprocessor architectures for computer vision.

Best Publications

  • Detecting faces in images: a survey

    Ming-Hsuan Yang;D.J. Kriegman;N. Ahuja

  • Single image super-resolution from transformed self-exemplars

    Jia-Bin Huang;Abhishek Singh;Narendra Ahuja

  • Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution

    Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang

  • Gross motion planning—a survey

    Yong K. Hwang;Narendra Ahuja

  • Robust Visual Tracking via Structured Multi-Task Sparse Learning

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

  • A potential field approach to path planning

    Y.K. Hwang;N. Ahuja

  • Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

    Wei-Sheng Lai;Jia-Bin Huang;Narendra Ahuja;Ming-Hsuan Yang

  • Robust visual tracking via multi-task sparse learning

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

  • Motion and structure from two perspective views: algorithms, error analysis, and error estimation

    J. Weng;T.S. Huang;N. Ahuja

  • A SNoW-Based Face Detector

    Ming-Hsuan Yang;Dan Roth;Narendra Ahuja

  • Real-time O(1) bilateral filtering

    Qingxiong Yang;Kar-Han Tan;Narendra Ahuja

  • Extraction of 2D motion trajectories and its application to hand gesture recognition

    Ming-Hsuan Yang;N. Ahuja;M. Tabb

  • Surfaces from stereo: integrating feature matching, disparity estimation, and contour detection

    W. Hoff;N. Ahuja

  • DeepMVS: Learning Multi-view Stereopsis

    Po-Han Huang;Kevin Matzen;Johannes Kopf;Narendra Ahuja

  • A new wavelet-based scheme for watermarking images

    R. Dugad;K. Ratakonda;N. Ahuja

  • Detecting human faces in color images

    Ming-Hsuan Yang;N. Ahuja

  • Optimal motion and structure estimation

    J. Weng;N. Ahuja;T.S. Huang

  • Image completion using planar structure guidance

    Jia-Bin Huang;Sing Bing Kang;Narendra Ahuja;Johannes Kopf

  • A Comparative Study for Single Image Blind Deblurring

    Wei-Sheng Lai;Jia-Bin Huang;Zhe Hu;Narendra Ahuja

  • Pedestrian recognition with a learned metric

    Mert Dikmen;Emre Akbas;Thomas S. Huang;Narendra Ahuja

Frequent Co-Authors

Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Juyang Weng
Juyang Weng Michigan State University
Jia-Bin Huang
Jia-Bin Huang University of Maryland, College Park
Sinisa Todorovic
Sinisa Todorovic Oregon State University
Qingxiong Yang
Qingxiong Yang City University of Hong Kong
Tianzhu Zhang
Tianzhu Zhang University of Science and Technology of China
Hong Hua
Hong Hua University of Arizona
Arun Krishnan
Arun Krishnan Microsoft (United States)

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