World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6993
World Ranking
7651
National Ranking
82

Angshul Majumdar 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 Angshul Majumdar 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: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Angshul Majumdar 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 Angshul Majumdar 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Angshul Majumdar is affiliated with the Indraprastha Institute of Information Technology Delhi in India. Their research spans multiple fields predominantly within computer science and engineering. The primary areas of focus include computer vision and pattern recognition, molecular biology, artificial intelligence, signal processing, and electrical and electronic engineering.

The scientist's work covers several intricate topics, notably computational drug discovery methods, sparse and compressive sensing techniques, bioinformatics and genomic networks, face and expression recognition, remote-sensing image classification, stock market forecasting methods, as well as domain adaptation and few-shot learning.

Among recent scholarly contributions, the following publications are representative:

  • Gene expression based inference of cancer drug sensitivity, 2022, Nature Communications
  • Blind Kalman Filtering for Short-Term Load Forecasting, 2020, IEEE Transactions on Power Systems
  • Drug-target interaction prediction using Multi Graph Regularized Nuclear Norm Minimization, 2020, PLoS ONE
  • Multi-label LSTM autoencoder for non-intrusive appliance load monitoring, 2021, Electric Power Systems Research
  • A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials, 2021, Scientific Reports

Frequent collaborators with whom Angshul Majumdar has co-authored multiple papers include:

  • Émilie Chouzenoux
  • Kriti Kumar
  • Giovanni Chierchia
  • Anurag Goel
  • Aanchal Mongia

The scientist has published extensively in several research venues, including:

  • arXiv (Cornell University)
  • IEEE Sensors Letters
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Signal Processing
  • Neurocomputing

Angshul Majumdar's contributions reflect a broad interdisciplinary approach that integrates aspects of computer science and engineering with applications in biology and signal processing. Their publications and collaborations indicate active engagement with diverse research communities and topics.

Best Publications

  • Hyperspectral Image Denoising Using Spatio-Spectral Total Variation

    Hemant Kumar Aggarwal;Angshul Majumdar

  • Deep dictionary learning

    Snigdha Tariyal;Angshul Majumdar;Richa Singh;Mayank Vatsa

  • AutoImpute: Autoencoder based imputation of single-cell RNA-seq data.

    Divyanshu Talwar;Aanchal Mongia;Debarka Sengupta;Angshul Majumdar

  • Detecting Silicone Mask-Based Presentation Attack via Deep Dictionary Learning

    Ishan Manjani;Snigdha Tariyal;Mayank Vatsa;Richa Singh

  • Deep Sparse Coding for Non–Intrusive Load Monitoring

    Shikha Singh;Angshul Majumdar

  • Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals

    Anupriya Gogna;Angshul Majumdar;Rabab Ward

  • Gene expression based inference of cancer drug sensitivity

    Unknown

  • Face recognition by curvelet based feature extraction

    Tanaya Mandal;Angshul Majumdar;Q. M. Jonathan Wu

  • Bangla Basic Character Recognition Using Digital Curvelet Transform

    Angshul Majumdar

  • Hierarchical Representation Learning for Kinship Verification

    Naman Kohli;Mayank Vatsa;Richa Singh;Afzel Noore

  • Compressed sensing of color images

    Angshul Majumdar;Rabab K. Ward

  • An algorithm for sparse MRI reconstruction by Schatten p-norm minimization

    Angshul Majumdar;Rabab K. Ward

  • Blind Denoising Autoencoder

    Angshul Majumdar

  • Classification via group sparsity promoting regularization

    A. Majumdar;R. K. Ward

  • Simultaneous Detection of Multiple Appliances From Smart-Meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning

    Vanika Singhal;Jyoti Maggu;Angshul Majumdar

  • Blind Kalman Filtering for Short-Term Load Forecasting

    Shalini Sharma;Angshul Majumdar;Victor Elvira;Emilie Chouzenoux

  • Fast group sparse classification

    A Majumdar;R K Ward

  • Some empirical advances in matrix completion

    A. Majumdar;R.K. Ward

  • Compressed Sensing Based Real-Time Dynamic MRI Reconstruction

    A. Majumdar;R. K. Ward;T. Aboulnasr

  • RODEO: Robust DE-aliasing autoencOder for real-time medical image reconstruction

    Janki Mehta;Angshul Majumdar

  • Accelerating multi-echo T2 weighted MR imaging: analysis prior group-sparse optimization.

    Angshul Majumdar;Rabab K. Ward

  • Fast Group Sparse Classification

    A. Majumdar;R. K. Ward

Frequent Co-Authors

Rabab K. Ward
Rabab K. Ward University of British Columbia
Richa Singh
Richa Singh Indian Institute of Technology Jodhpur
Mayank Vatsa
Mayank Vatsa Indian Institute of Technology Jodhpur
Afzel Noore
Afzel Noore Texas A&M University – Kingsville
Bidyut B. Chaudhuri
Bidyut B. Chaudhuri Indian Statistical Institute
Ajay Kumar
Ajay Kumar Hong Kong Polytechnic University
Q. M. Jonathan Wu
Q. M. Jonathan Wu University of Windsor
Rajeev Ranjan
Rajeev Ranjan Indian Institute of Science
Colleen C. Nelson
Colleen C. Nelson Queensland University of Technology
Surjya K. Pal
Surjya K. Pal Indian Institute of Technology Kharagpur

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