World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
16141
World Ranking
4472
National Ranking
2092

R. Manmatha 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. Manmatha 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: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

R. Manmatha 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. Manmatha 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

R. Manmatha is affiliated with Amazon in the United States and has an extensive research portfolio primarily in the field of Computer Science. Their work spans several subfields, with a strong emphasis on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

The scientist's research covers a variety of specialized topics, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Handwritten Text Recognition Techniques
  • Natural Language Processing Techniques
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications

Frequent coauthors collaborating with R. Manmatha are:

  • Srikar Appalaraju
  • Chongruo Wu
  • Yi Zhu
  • Yusheng Xie
  • Ashwin Swaminathan

R. Manmatha has contributed to numerous renowned publication venues, particularly:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent notable publications include:

  • "ResNeSt: Split-Attention Networks" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "DocFormer: End-to-End Transformer for Document Understanding" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "A Comprehensive Study of Deep Video Action Recognition" (2020), arXiv (Cornell University)
  • "Improving Semantic Segmentation via Efficient Self-Training" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "LaTr: Layout-Aware Transformer for Scene-Text VQA" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The body of work by R. Manmatha demonstrates a consistent focus on advancing methods in object recognition, document understanding, and video analysis through the application of deep learning and transformer architectures.

Best Publications

  • Automatic image annotation and retrieval using cross-media relevance models

    J. Jeon;V. Lavrenko;R. Manmatha

  • ResNeSt: Split-Attention Networks

    Hang Zhang;Chongruo Wu;Zhongyue Zhang;Yi Zhu

  • Multiple Bernoulli relevance models for image and video annotation

    S.L. Feng;R. Manmatha;V. Lavrenko

  • A Model for Learning the Semantics of Pictures

    Victor Lavrenko;R. Manmatha;Jiwoon Jeon

  • Sampling Matters in Deep Embedding Learning

    R. Manmatha;Chao-Yuan Wu;Alexander J. Smola;Philipp Krahenbuhl

  • Word image matching using dynamic time warping

    T.M. Rath;R. Manmatha

  • Textfinder: an automatic system to detect and recognize text in images

    V. Wu;R. Manmatha;E.M. Riseman

  • Word spotting for historical documents

    Toni M. Rath;R. Manmatha

  • Finding text in images

    Victor Wu;R. Manmatha;Edward M. Riseman

  • A Novel Word Spotting Method Based on Recurrent Neural Networks

    V. Frinken;A. Fischer;R. Manmatha;H. Bunke

  • Compressed Video Action Recognition

    Chao-Yuan Wu;Manzil Zaheer;Hexiang Hu;R. Manmatha

  • Word spotting: a new approach to indexing handwriting

    R. Manmatha;Chengfeng Han;E.M. Riseman

  • Holistic word recognition for handwritten historical documents

    V. Lavrenko;T.M. Rath;R. Manmatha

  • Features for word spotting in historical manuscripts

    T.M. Rath;R. Manmatha

  • Challenges in information retrieval and language modeling: report of a workshop held at the center for intelligent information retrieval, University of Massachusetts Amherst, September 2002

    James Allan;Jay Aslam;Nicholas Belkin;Chris Buckley

  • Modeling score distributions for combining the outputs of search engines

    R. Manmatha;T. Rath;F. Feng

  • A scale space approach for automatically segmenting words from historical handwritten documents

    R. Manmatha;J.L. Rothfeder

  • DocFormer: End-to-End Transformer for Document Understanding

    Srikar Appalaraju;Bhavan Jasani;Bhargava Urala Kota;Yusheng Xie

  • Using Maximum Entropy for Automatic Image Annotation

    Jiwoon Jeon;R. Manmatha

  • A search engine for historical manuscript images

    Toni M. Rath;R. Manmatha;Victor Lavrenko

Frequent Co-Authors

James Allan
James Allan University of Massachusetts Amherst
Victor Lavrenko
Victor Lavrenko University of Edinburgh
Edward M. Riseman
Edward M. Riseman University of Massachusetts Amherst
C. V. Jawahar
C. V. Jawahar International Institute of Information Technology, Hyderabad
Alexander J. Smola
Alexander J. Smola Amazon (United States)
Mubarak Shah
Mubarak Shah University of Central Florida
Gerald Friedland
Gerald Friedland Yale University
Harpreet Sawhney
Harpreet Sawhney Microsoft (United States)
Philipp Krähenbühl
Philipp Krähenbühl The University of Texas at Austin
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University

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