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D-Index & Metrics

Computer Science

D-Index
37
Citations
5084
World Ranking
10861
National Ranking
118

Subrahmanyam Murala 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 Subrahmanyam Murala 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: 115 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Subrahmanyam Murala 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 Subrahmanyam Murala 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Subrahmanyam Murala is affiliated with the Indian Institute of Technology Ropar in India. Their research focuses primarily on computer science and engineering, with significant contributions to subfields such as computer vision and pattern recognition, media technology, biomedical engineering, artificial intelligence, and safety, risk, reliability, and quality.

The researcher's main topics of work involve:

  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Image Fusion Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications

Recent notable publications include:

  • "UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images," 2021, IEEE Transactions on Instrumentation and Measurement
  • "Deep Underwater Image Restoration and Beyond," 2020, IEEE Signal Processing Letters
  • "S2DNet: Depth Estimation From Single Image and Sparse Samples," 2020, IEEE Transactions on Computational Imaging
  • "Aerial Image Dehazing with Attentive Deformable Transformers," 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • "An Unified Recurrent Video Object Segmentation Framework for Various Surveillance Environments," 2021, IEEE Transactions on Image Processing

Subrahmanyam Murala frequently publishes in venues such as:

  • IEEE Signal Processing Letters
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Pattern Recognition
  • SSRN Electronic Journal

The researcher collaborates regularly with co-authors including Akshay Dudhane, Shruti S. Phutke, Prashant W. Patil, Santosh Kumar Vipparthi, and Ashutosh Kulkarni.

In addition to journal and conference publications, Subrahmanyam Murala has contributed to books published by Springer Science+Business Media, including two editions titled Computer Vision and Image Processing released in 2022.

Best Publications

  • Local Tetra Patterns: A New Feature Descriptor for Content-Based Image Retrieval

    S. Murala;R. P. Maheshwari;R. Balasubramanian

  • Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Local ternary co-occurrence patterns: A new feature descriptor for MRI and CT image retrieval

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • Directional local extrema patterns: a new descriptor for content based image retrieval

    Subrahmanyam Murala;R. P. Maheshwari;R. Balasubramanian

  • UW-GAN: Single-Image Depth Estimation and Image Enhancement for Underwater Images

    Praful Hambarde;Subrahmanyam Murala;Abhinav Dhall

  • RescueNet: An unpaired GAN for brain tumor segmentation

    Shubhangi Nema;Akshay Dudhane;Subrahmanyam Murala;Srivatsava Naidu

  • LEARNet: Dynamic Imaging Network for Micro Expression Recognition

    Monu Verma;Santosh Kumar Vipparthi;Girdhari Singh;Subrahmanyam Murala

  • Color and Texture Features for Image Indexing and Retrieval

    Subrahmanyam Murala;Anil Balaji Gonde;R. P. Maheshwari

  • Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval

    Subrahmanyam Murala;R. P. Maheshwari;R. Balasubramanian

  • Local extrema co-occurrence pattern for color and texture image retrieval

    Manisha Verma;Balasubramanian Raman;Subrahmanyam Murala

  • Spherical symmetric 3D local ternary patterns for natural, texture and biomedical image indexing and retrieval

    Subrahmanyam Murala;Q.M. Jonathan Wu

  • Local Neighborhood Intensity Pattern–A new texture feature descriptor for image retrieval

    Prithaj Banerjee;Ayan Kumar Bhunia;Avirup Bhattacharyya;Partha Pratim Roy

  • Deep Underwater Image Restoration and Beyond

    Akshay Dudhane;Praful Hambarde;Prashant Patil;Subrahmanyam Murala

  • MSFgNet: A Novel Compact End-to-End Deep Network for Moving Object Detection

    Prashant W. Patil;Subrahmanyam Murala

  • RYF-Net: Deep Fusion Network for Single Image Haze Removal

    Akshay Dudhane;Subrahmanyam Murala

  • Aerial Image Dehazing with Attentive Deformable Transformers

    Unknown

  • CDNet: Single Image De-Hazing Using Unpaired Adversarial Training

    Akshay Dudhane;Subrahmanyam Murala

  • MRI and CT image indexing and retrieval using local mesh peak valley edge patterns

    Subrahmanyam Murala;Q. M. Jonathan Wu

  • S2DNet: Depth Estimation From Single Image and Sparse Samples

    Praful Hambarde;Subrahmanyam Murala

  • RI-GAN: An End-To-End Network for Single Image Haze Removal

    Akshay Dudhane;Harshjeet Singh Aulakh;Subrahmanyam Murala

  • Local Gabor maximum edge position octal patterns for image retrieval

    Santosh Kumar Vipparthi;Subrahmanyam Murala;S.K. Nagar;Anil Balaji Gonde

  • ColorandTexture Features forImageIndexing andRetrieval

    Subrahmanyam Murala;AnilBalaji Gonde

Frequent Co-Authors

Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Abhinav Dhall
Abhinav Dhall Monash University
Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Balasubramanian Raman
Balasubramanian Raman Indian Institute of Technology Roorkee
Vishal Monga
Vishal Monga Pennsylvania State University
Luc Van Gool
Luc Van Gool Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Bhabatosh Chanda
Bhabatosh Chanda Indian Statistical Institute
Radu Timofte
Radu Timofte University of Wurzburg
Raimondo Schettini
Raimondo Schettini University of Milano-Bicocca
A. N. Rajagopalan
A. N. Rajagopalan Indian Institute of Technology Madras

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