World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5173
World Ranking
10355
National Ranking
112

Bhabatosh Chanda 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 Bhabatosh Chanda 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: 222 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Bhabatosh Chanda 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 Bhabatosh Chanda 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Bhabatosh Chanda is affiliated with the Indian Statistical Institute in India. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition.

Their scholarly output includes contributions to several subfields such as Media Technology, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Atmospheric Science. Their work often relates to advanced topics including Image Retrieval and Classification Techniques, Generative Adversarial Networks and Image Synthesis, 3D Shape Modeling and Analysis, Advanced Image Fusion Techniques, Image Processing and 3D Reconstruction, Computer Graphics and Visualization Techniques, and Image Enhancement Techniques.

Some of their recent papers are:

  • DARecNet-BS: Unsupervised Dual-Attention Reconstruction Network for Hyperspectral Band Selection, 2020, IEEE Geoscience and Remote Sensing Letters
  • Image Restoration by Learning Morphological Opening-Closing Network, 2020, Mathematical Morphology - Theory and Applications
  • Digital Restoration of Cultural Heritage With Data-Driven Computing: A Survey, 2023, IEEE Access
  • LGVTON: a landmark guided approach for model to person virtual try-on, 2022, Multimedia Tools and Applications
  • LGVTON: A Landmark Guided Approach to Virtual Try-On, 2020, arXiv (Cornell University)

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Access
  • Mathematical Morphology - Theory and Applications
  • Multimedia Tools and Applications

Their collaborations include recurrent coauthors such as:

  • Sanchayan Santra
  • Debapriya Basu Roy
  • Diganta Mukherjee
  • Arkaprabha Basu
  • Sandip Paul

Best Publications

  • Multiscale morphological segmentation of gray-scale images

    S. Mukhopadhyay;B. Chanda

  • Writer-independent off-line signature verification using surroundedness feature

    Rajesh Kumar;J. D. Sharma;Bhabatosh Chanda

  • A multiscale morphological approach to local contrast enhancement

    Susanta Mukhopadhyay;Bhabatosh Chanda

  • A simple and efficient algorithm for multifocus image fusion using morphological wavelets

    Ishita De;Bhabatosh Chanda

  • Multi-focus image fusion using a morphology-based focus measure in a quad-tree structure

    Ishita De;Bhabatosh Chanda

  • Enhancing effective depth-of-field by image fusion using mathematical morphology

    Ishita De;Bhabatosh Chanda;Buddhajyoti Chattopadhyay

  • A MULTI-SCALE MORPHOLOGIC EDGE DETECTOR

    Bhabatosh Chanda;Malay K. Kundu;Y. Vani Padmaja

  • Fusion of 2D grayscale images using multiscale morphology

    Susanta Mukhopadhyay;Bhabatosh Chanda

  • A Model-Based Shot Boundary Detection Technique Using Frame Transition Parameters

    P. P. Mohanta;S. K. Saha;B. Chanda

  • Topology preservation in 3D digital space

    Punam K. Saha;Bidyut Baran Chaudhuri;Bhabatosh Chanda;D. Dutta Majumder

  • An edge preserving noise smoothing technique using multiscale morphology

    S. Mukhopadhyay;B. Chanda

  • CBIR using perception based texture and colour measures

    S.K. Saha;A.K. Das;B. Chanda

  • A fast algorithm for skew detection of document images using morphology

    Amit Kumar Das;Bhabatosh Chanda

  • Super Resolution Image Reconstruction Through Bregman Iteration Using Morphologic Regularization

    Pulak Purkait;Bhabatosh Chanda

  • A writer-independent off-line signature verification system based on signature morphology

    Rajesh Kumar;Lopamudra Kundu;Bhabatosh Chanda;J. D. Sharma

  • A simple and effective table detection system from document images

    Sekhar Mandal;S. P. Chowdhury;Amit K. Das;Bhabatosh Chanda

  • On edge and line linking with connectionist models

    J. Basak;B. Chanda;D. Dutta Majumder

  • Learning a Patch Quality Comparator for Single Image Dehazing

    Sanchayan Santra;Ranjan Mondal;Bhabatosh Chanda

  • Iris recognition using multiscale morphologic features

    Saiyed Umer;Bibhas Chandra Dhara;Bhabatosh Chanda

  • Design of vector quantizer for image compression using self-organizing feature map and surface fitting

    A. Laha;N.R. Pal;B. Chanda

Frequent Co-Authors

Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute
Amit Das
Amit Das Leibniz-Institut für Polymerforschung Dresden e. V.
Soumitro Banerjee
Soumitro Banerjee Indian Institute of Science Education and Research Kolkata
Malay K. Kundu
Malay K. Kundu Indian Statistical Institute
Punam K. Saha
Punam K. Saha University of Iowa
Radu Timofte
Radu Timofte University of Wurzburg
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras
Vishal Monga
Vishal Monga Pennsylvania State University

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