World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8016
World Ranking
7972
National Ranking
91

Balasubramanian Raman 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 Balasubramanian Raman 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: 285 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Balasubramanian Raman 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 Balasubramanian Raman 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Balasubramanian Raman is affiliated with the Indian Institute of Technology Roorkee in India and has contributed extensively to the field of Computer Science, with a notable focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Geophysics, and Radiology, Nuclear Medicine and Imaging.

The primary research topics covered by their work include:

  • AI in cancer detection
  • Cutaneous Melanoma Detection and Management
  • Emotion and Mood Recognition
  • Brain Tumor Detection and Classification
  • Seismology and Earthquake Studies
  • Sentiment Analysis and Opinion Mining
  • Anomaly Detection Techniques and Applications

Frequent co-authors associated with Balasubramanian Raman's research include:

  • Pradeep Singh
  • Puneet Kumar
  • Rahul Kumar
  • Himanshu Buckchash

Major publication venues where the scientist has regularly published are:

  • arXiv (Cornell University)
  • Multimedia Tools and Applications
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Statistics in Medicine
  • Biomedical Signal Processing and Control

Among notable recent papers by Balasubramanian Raman are:

  • "Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Towards effective classification of brain hemorrhagic and ischemic stroke using CNN," 2020, Biomedical Signal Processing and Control
  • "Application of a new machine learning model to improve earthquake ground motion predictions," 2023, Natural Hazards
  • "Deep feature-based automatic classification of mammograms," 2020, Medical & Biological Engineering & Computing
  • "A BERT based dual-channel explainable text emotion recognition system," 2022, Neural Networks

Balasubramanian Raman's book publications are predominantly through Springer Science+Business Media, with multiple editions of Computer Vision and Image Processing published between 2020 and 2022. Additional books have been published by Springer International Publishing and Springer Nature, covering topics such as deep learning with tensors and machine learning applications in cybernetics and cognition.

Best Publications

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

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

  • A new robust reference watermarking scheme based on DWT-SVD

    Gaurav Bhatnagar;Balasubramanian Raman

  • Computing hierarchical curve-skeletons of 3D objects

    Nicu D. Cornea;Deborah Silver;Xiaosong Yuan;Raman Balasubramanian

  • Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking

    Unknown

  • A chaotic system based fragile watermarking scheme for image tamper detection

    Sanjay Rawat;Balasubramanian Raman

  • A blind watermarking algorithm based on fractional Fourier transform and visual cryptography

    Sanjay Rawat;Balasubramanian Raman

  • Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers

    Rahul Kumar;Ridhi Arora;Vipul Bansal;Vinodh J Sahayasheela

  • Local neighborhood difference pattern: A new feature descriptor for natural and texture image retrieval

    Manisha Verma;Balasubramanian Raman

  • Discrete fractional wavelet transform and its application to multiple encryption

    Gaurav Bhatnagar;Q.M. Jonathan Wu;Balasubramanian Raman

  • Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval

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

  • MIFH: A Machine Intelligence Framework for Heart Disease Diagnosis

    Ankur Gupta;Rahul Kumar;Harkirat Singh Arora;Balasubramanian Raman

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

    Manisha Verma;Balasubramanian Raman;Subrahmanyam Murala

  • Local tri-directional patterns

    Manisha Verma;Balasubramanian Raman

  • Towards effective classification of brain hemorrhagic and ischemic stroke using CNN

    Anjali Gautam;Balasubramanian Raman

  • Modified color motif co-occurrence matrix for image indexing and retrieval

    M. Subrahmanyam;Q. M. Jonathan Wu;R. P. Maheshwari;R. Balasubramanian

  • Prediction of advertisement preference by fusing EEG response and sentiment analysis.

    Himaanshu Gauba;Pradeep Kumar;Partha Pratim Roy;Priyanka Singh

  • Center symmetric local binary co-occurrence pattern for texture, face and bio-medical image retrieval

    Manisha Verma;Balasubramanian Raman

  • Combining Neural, Statistical and External Features for Fake News Stance Identification

    Gaurav Bhatt;Aman Sharma;Shivam Sharma;Ankush Nagpal

  • Combinational domain encryption for still visual data

    Nidhi Taneja;Balasubramanian Raman;Indra Gupta

  • Deep feature–based automatic classification of mammograms

    Ridhi Arora;Prateek Kumar Rai;Balasubramanian Raman

  • Selective image encryption in fractional wavelet domain

    Nidhi Taneja;Balasubramanian Raman;Indra Gupta

Frequent Co-Authors

Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Rama Bhargava
Rama Bhargava Indian Institute of Technology Roorkee
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Brajesh Kumar Kaushik
Brajesh Kumar Kaushik Indian Institute of Technology Roorkee
Subrahmanyam Murala
Subrahmanyam Murala Indian Institute of Technology Ropar
Pradeep Kumar
Pradeep Kumar Indian Institute of Technology Roorkee
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Christian Micheloni
Christian Micheloni University of Udine
Sahil Garg
Sahil Garg Canadian University of Dubai
R. Jayaganthan
R. Jayaganthan Indian Institute of Technology Madras

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