World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
18810
World Ranking
1518
National Ranking
30

Alexander M. Bronstein 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 Alexander M. Bronstein 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 355 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Alexander M. Bronstein 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 Alexander M. Bronstein sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 74 D-Index — 90th percentile

90% 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

  • 2018 - IEEE Fellow For contributions to three-dimensional geometric processing in imaging

Overview

Alexander M. Bronstein is affiliated with the Technion - Israel Institute of Technology in Israel. Their research primarily lies within the field of Computer Science, with a focus on the subfields of Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their body of work includes topics such as:

  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning

Recent publications authored or co-authored by Bronstein include:

  • "NICE: Noise Injection and Clamping Estimation for Neural Network Quantization", 2021, published in Mathematics
  • "NICE: Noise Injection and Clamping Estimation for Neural Network Quantization", 2021, published in MDPI (MDPI AG)
  • "Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval", 2021, published in Applied Intelligence
  • "Deep fused two-step cross-modal hashing with multiple semantic supervision", 2022, published in Multimedia Tools and Applications

Frequent publication venues for Bronstein's work include:

  • Mathematics
  • MDPI (MDPI AG)
  • Applied Intelligence
  • Multimedia Tools and Applications

Bronstein has collaborated repeatedly with several co-authors, including:

  • Chaim Baskin
  • Natan Liss
  • Yoav Chai
  • Eli Schwartz
  • Raja Giryes

In recognition of their contributions, Bronstein received the IEEE Fellow award in 2018 for work in three-dimensional geometric processing in imaging.

Best Publications

  • Numerical geometry of non-rigid shapes

    Alexander Bronstein;Michael Bronstein;Ron Kimmel

  • Shape google: Geometric words and expressions for invariant shape retrieval

    Alexander M. Bronstein;Michael M. Bronstein;Leonidas J. Guibas;Maks Ovsjanikov

  • Three-Dimensional Face Recognition

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • LDAHash: Improved Matching with Smaller Descriptors

    C. Strecha;A. M. Bronstein;M. M. Bronstein;P. Fua

  • Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • Data fusion through cross-modality metric learning using similarity-sensitive hashing

    Michael M. Bronstein;Alexander M. Bronstein;Fabrice Michel;Nikos Paragios

  • Expression-invariant 3D face recognition

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

    Leonid Karlinsky;Joseph Shtok;Sivan Harary;Eli Schwartz

  • A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel;Mona Mahmoudi

  • Efficient Computation of Isometry-Invariant Distances Between Surfaces

    Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

    Or Litany;Tal Remez;Emanuele Rodola;Alex Bronstein

  • Deformable Shape Completion with Graph Convolutional Autoencoders

    Or Litany;Alex Bronstein;Michael Bronstein;Ameesh Makadia

  • DeepISP: Toward Learning an End-to-End Image Processing Pipeline

    Eli Schwartz;Raja Giryes;Alex M. Bronstein

  • Methods and systems for representation and matching of video content

    Alexander Bronstein;Michael Bronstein;Shlomo Selim Rakib

  • Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

    Raja Giryes;Guillermo Sapiro;Alex M. Bronstein

  • Multimodal Similarity-Preserving Hashing

    Jonathan Masci;Michael M. Bronstein;Alexander M. Bronstein;Jürgen Schmidhuber

  • Expression-Invariant Representations of Faces

    A.M. Bronstein;M.M. Bronstein;R. Kimmel

  • Learning Spectral Descriptors for Deformable Shape Correspondence

    R. Litman;A. M. Bronstein

  • Systems and methods for remote control of interactive video

    Shlomo Selim Rakib;Alexander Bronstein;Michael Bronstein;Gilles Bruno Marie Devictor

  • Learning Efficient Sparse and Low Rank Models

    P. Sprechmann;A. M. Bronstein;G. Sapiro

  • Delta-encoder: an effective sample synthesis method for few-shot object recognition

    Eli Schwartz;Leonid Karlinsky;Joseph Shtok;Sivan Harary

  • Expression-invariant 3D face recognition

    Michael Bronstein

Frequent Co-Authors

Michael M. Bronstein
Michael M. Bronstein University of Oxford
Ron Kimmel
Ron Kimmel Technion – Israel Institute of Technology
Michael Zibulevsky
Michael Zibulevsky Technion – Israel Institute of Technology
Guillermo Sapiro
Guillermo Sapiro Princeton University
Raja Giryes
Raja Giryes Tel Aviv University
Emanuele Rodolà
Emanuele Rodolà Sapienza University of Rome
Yehoshua Y. Zeevi
Yehoshua Y. Zeevi Technion – Israel Institute of Technology
Umberto Castellani
Umberto Castellani University of Verona
Maks Ovsjanikov
Maks Ovsjanikov École Polytechnique
Rogerio Feris
Rogerio Feris IBM (United States)

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