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D-Index & Metrics

Computer Science

D-Index
38
Citations
5921
World Ranking
10259
National Ranking
4306

Namrata Vaswani 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 Namrata Vaswani 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: 161 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Namrata Vaswani 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 Namrata Vaswani 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

Namrata Vaswani is affiliated with Iowa State University in the United States. Their research primarily spans the fields of Engineering and Computer Science, with a significant focus on Computational Mechanics, Electrical and Electronic Engineering, and Signal Processing. Their interdisciplinary work also touches on Radiology, Nuclear Medicine and Imaging, as well as Biomedical Engineering.

Their scholarly output is concentrated around topics such as Sparse and Compressive Sensing Techniques, Blind Source Separation Techniques, Microwave Imaging and Scattering Analysis, and Indoor and Outdoor Localization Technologies. Additional key topics include Advanced MRI Techniques and Applications, Advanced X-ray Imaging Techniques, and Medical Imaging Techniques and Applications.

Namrata Vaswani has published extensively, with a frequent presence in the following publication venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • IEEE Transactions on Computational Imaging
  • IEEE Transactions on Signal Processing

Their recent papers include:

  • Fast Low Rank Column-Wise Compressive Sensing for Accelerated Dynamic MRI, 2023, IEEE Transactions on Computational Imaging
  • Provable Low Rank Phase Retrieval, 2020, IEEE Transactions on Information Theory
  • Fast and Sample-Efficient Federated Low Rank Matrix Recovery From Column-Wise Linear and Quadratic Projections, 2022, IEEE Transactions on Information Theory
  • Federated Over-Air Subspace Tracking From Incomplete and Corrupted Data, 2022, IEEE Transactions on Signal Processing
  • Nonconvex Structured Phase Retrieval: A Focus on Provably Correct Approaches, 2020, IEEE Signal Processing Magazine

Collaboration is a notable aspect of their research, with frequent co-authors including Silpa Babu, Sajan Goud Lingala, Seyedehsara Nayer, Praneeth Narayanamurthy, and Shana Moothedath.

Best Publications

  • Modified-CS: Modifying compressive sensing for problems with partially known support

    Namrata Vaswani;Wei Lu

  • Kalman filtered Compressed Sensing

    N. Vaswani

  • Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

    Namrata Vaswani;Thierry Bouwmans;Sajid Javed;Praneeth Narayanamurthy

  • Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours

    Y. Rathi;N. Vaswani;A. Tannenbaum;A. Yezzi

  • Recognition of dynamic hand gestures

    Aditya Ramamoorthy;Namrata Vaswani;Santanu Chaudhury;Subhashis Banerjee

  • Activity recognition using the dynamics of the configuration of interacting objects

    N. Vaswani;A. Roy Chowdhury;R. Chellappa

  • LS-CS-Residual (LS-CS): Compressive Sensing on Least Squares Residual

    N Vaswani

  • "Shape Activity": a continuous-state HMM for moving/deforming shapes with application to abnormal activity detection

    N. Vaswani;A.K. Roy-Chowdhury;R. Chellappa

  • An Online Algorithm for Separating Sparse and Low-Dimensional Signal Sequences From Their Sum

    Han Guo;Chenlu Qiu;Namrata Vaswani

  • Particle filtering for geometric active contours with application to tracking moving and deforming objects

    Yogesh Rathi;N. Vaswani;A. Tannenbaum;A. Yezzi

  • Recursive Robust PCA or Recursive Sparse Recovery in Large but Structured Noise

    Chenlu Qiu;Namrata Vaswani;Brian Lois;Leslie Hogben

  • Modified Basis Pursuit Denoising(modified-BPDN) for noisy compressive sensing with partially known support

    Wei Lu;Namrata Vaswani

  • Static and Dynamic Robust PCA and Matrix Completion: A Review

    Namrata Vaswani;Praneeth Narayanamurthy

  • Regularized Modified BPDN for Noisy Sparse Reconstruction With Partial Erroneous Support and Signal Value Knowledge

    Wei Lu;Namrata Vaswani

  • Recursive Recovery of Sparse Signal Sequences From Compressive Measurements: A Review

    Namrata Vaswani;Jinchun Zhan

  • A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior

    Y. Rathi;N. Vaswani;A. Tannenbaum

  • Principal components null space analysis for image and video classification

    N. Vaswani;R. Chellappa

  • Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing

    Chenlu Qiu;Wei Lu;Namrata Vaswani

  • Real-time Robust Principal Components' Pursuit

    Chenlu Qiu;Namrata Vaswani

  • Modified compressive sensing for real-time dynamic MR imaging

    Wei Lu;Namrata Vaswani

  • Rethinking PCA for Modern Data Sets: Theory, Algorithms, and Applications [Scanning the Issue]

    Namrata Vaswani;Yuejie Chi;Thierry Bouwmans

  • ReProCS: A Missing Link between Recursive Robust PCA and Recursive Sparse Recovery in Large but Correlated Noise

    Chenlu Qiu;Namrata Vaswani

Frequent Co-Authors

Rama Chellappa
Rama Chellappa Johns Hopkins University
Thierry Bouwmans
Thierry Bouwmans University of La Rochelle
Yogesh Rathi
Yogesh Rathi Brigham and Women's Hospital
Allen Tannenbaum
Allen Tannenbaum Stony Brook University
Amit K. Roy-Chowdhury
Amit K. Roy-Chowdhury University of California, Riverside
Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Leslie Hogben
Leslie Hogben Iowa State University
Yonina C. Eldar
Yonina C. Eldar Weizmann Institute of Science
Yuejie Chi
Yuejie Chi Carnegie Mellon University
Jin U. Kang
Jin U. Kang Johns Hopkins University

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