World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
12256
World Ranking
12847
National Ranking
5178

Hamid Krim 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 Hamid Krim 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: 288 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.

Hamid Krim 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 Hamid Krim 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2008 - IEEE Fellow For contributions to statistical signal processing, multiscale analysis, estimation and detection, and image analysis

Overview

Hamid Krim is affiliated with North Carolina State University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with notable contributions in subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Media Technology, and Computational Mechanics.

Their work covers a variety of topics such as Remote-Sensing Image Classification, Domain Adaptation and Few-Shot Learning, Speech and Audio Processing, Face and Expression Recognition, Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, and Image and Signal Denoising Methods.

Hamid Krim has published in multiple venues, with frequent publications appearing in arXiv (Cornell University), SSRN Electronic Journal, IEEE Sensors Journal, Atmosphere, and Neurocomputing.

Recent papers include:

  • Atlantic Hurricane Activity Prediction: A Machine Learning Approach (2021, Atmosphere)
  • Robust Multi-Modal Sensor Fusion: An Adversarial Approach (2020, IEEE Sensors Journal)
  • Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks (2020, arXiv (Cornell University))
  • Deep transform and metric learning network: Wedding deep dictionary learning and neural network (2022, Neurocomputing)
  • Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition (2020, Proceedings of the AAAI Conference on Artificial Intelligence)

Frequent co-authors collaborating with Hamid Krim include:

  • Siddharth Roheda
  • Derya Cansever
  • Bo Jiang
  • Tianfu Wu
  • Sally Ghanem

Hamid Krim has been recognized as an IEEE Fellow in 2008 for contributions to statistical signal processing, multiscale analysis, estimation and detection, and image analysis.

Best Publications

  • Two decades of array signal processing research: the parametric approach

    H. Krim;M. Viberg

  • Time-invariant orthonormal wavelet representations

    J.-C. Pesquet;H. Krim;H. Carfantan

  • A Shearlet Approach to Edge Analysis and Detection

    Sheng Yi;D. Labate;G.R. Easley;H. Krim

  • On denoising and best signal representation

    H. Krim;D. Tucker;S. Mallat;D. Donoho

  • Image denoising: a nonlinear robust statistical approach

    A. Ben Hamza;H. Krim

  • A generalized divergence measure for robust image registration

    Yun He;A.B. Hamza;H. Krim

  • Image segmentation and edge enhancement with stabilized inverse diffusion equations

    I. Pollak;A.S. Willsky;H. Krim

  • Multiscale segmentation and anomaly enhancement of SAR imagery

    C.H. Fosgate;H. Krim;W.W. Irving;W.C. Karl

  • Operator approach to performance analysis of root-MUSIC and root-min-norm

    H. Krim;P. Forster;J.G. Proakis

  • A multiscale approach to pixel-level image fusion

    A. Ben Hamza;Yun He;Hamid Krim;Alan Willsky

  • Persistent Homology of Delay Embeddings and its Application to Wheeze Detection

    Saba Emrani;Thanos Gentimis;Hamid Krim

  • Object representation and recognition in shape spaces

    Jun Zhang;X. Zhang;Hamid Krim;Gilbert G. Walter

  • Geodesic Object Representation and Recognition

    A. Ben Hamza;Hamid Krim

  • Minimax description length for signal denoising and optimized representation

    H. Krim;I.C. Schick

  • Bayesian approach to best basis selection

    J.-C. Pesquet;H. Krim;D. Leporini;E. Hamman

  • On the Statistics of Best Bases Criteria

    H. Krim;J.-C. Pesquet

  • Unifying probabilistic and variational estimation

    A.B. Hamza;H. Krim;G.B. Unal

  • Multiresolution analysis of a class of nonstationary processes

    H. Krim;J.-C. Pesquet

  • Information-Theoretic Active Polygons for Unsupervised Texture Segmentation

    Gozde Unal;Anthony Yezzi;Hamid Krim

  • Hierarchical stochastic modeling of SAR imagery for segmentation/compression

    A. Kim;H. Krim

  • Two Decades of Array Signal Processing

    Mats Viberg;H. Krim

  • Geometric Methods in Signal and Image Analysis: Differential geometry of curves and surfaces

    Hamid Krim;Abdessamad Ben Hamza

  • Persistent Homology of Delay Embeddings

    Saba Emrani;Thanos Gentimis;Hamid Krim

Frequent Co-Authors

A. Ben Hamza
A. Ben Hamza Concordia University
Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
Tianfu Wu
Tianfu Wu North Carolina State University
William Clement Karl
William Clement Karl Boston University
Dana H. Brooks
Dana H. Brooks Northeastern University
Xipeng Shen
Xipeng Shen North Carolina State University
Mats Viberg
Mats Viberg Chalmers University of Technology
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen

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