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Engineering and Technology
Israel
2026
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Neuroscience
Israel
2026

D-Index & Metrics

Neuroscience

D-Index
76
Citations
28197
World Ranking
1894
National Ranking
12

Engineering and Technology

D-Index
76
Citations
31839
World Ranking
687
National Ranking
3

Haim Sompolinsky publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Haim Sompolinsky sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 194 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Haim Sompolinsky D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Haim Sompolinsky sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 76 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Israel Leader Award
  • 2026 - Research.com Neuroscience in Israel Leader Award
  • 2023 - Research.com Engineering and Technology in Israel Leader Award
  • 2022 - Research.com Engineering and Technology in Israel Leader Award
  • 2013 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
  • 2011 - Swartz Prize for Theoretical and Computational Neuroscience
  • 2008 - Fellow of the American Academy of Arts and Sciences
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)
  • Member of the European Molecular Biology Organization (EMBO)

Overview

Haim Sompolinsky is affiliated with Harvard University in the United States. Their research spans multiple disciplines, notably Neuroscience and Computer Science, with significant contributions in subfields such as Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, and Cellular and Molecular Neuroscience.

The core topics of Sompolinsky's work encompass Neural Networks and Applications, Neural dynamics and brain function, Visual perception and processing mechanisms, Advanced Memory and Neural Computing, Memory and Neural Mechanisms, stochastic dynamics and bifurcation, and Neuroscience and Neuropharmacology Research.

Sompolinsky has published extensively in venues including arXiv (Cornell University) with 13 publications and bioRxiv (Cold Spring Harbor Laboratory) with 7 publications. Other frequent publication platforms include Physical Review E, Nature Communications, and Proceedings of the National Academy of Sciences.

Among recent papers are:

  • Separability and geometry of object manifolds in deep neural networks, 2020, Nature Communications
  • Locally ordered representation of 3D space in the entorhinal cortex, 2021, Nature
  • Neural representational geometry underlies few-shot concept learning, 2022, Proceedings of the National Academy of Sciences
  • Neural Correlates of Learning Pure Tones or Natural Sounds in the Auditory Cortex, 2020, Frontiers in Neural Circuits
  • Object manifold geometry across the mouse cortical visual hierarchy, 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent coauthors collaborating with Sompolinsky include:

  • Ben Sorscher
  • Qianyi Li
  • Uri Cohen
  • Julia Steinberg
  • Haozhe Shan

Their work has been recognized through awards such as the Mathematical Neuroscience Prize from Israel Brain Technologies in 2013, the Swartz Prize for Theoretical and Computational Neuroscience in 2011, election as a Fellow of the American Academy of Arts and Sciences in 2008, and membership in the European Molecular Biology Organization (EMBO).

Best Publications

  • Chaos in Neuronal Networks with Balanced Excitatory and Inhibitory Activity

    C. van Vreeswijk;H. Sompolinsky

  • Query by committee

    H. S. Seung;M. Opper;H. Sompolinsky

  • Spin-glass models of neural networks.

    Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

  • Storing infinite numbers of patterns in a spin-glass model of neural networks.

    Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

  • Theory of orientation tuning in visual cortex.

    R Ben-Yishai;R L Bar-Or;H Sompolinsky

  • Chaos in random neural networks.

    H. Sompolinsky;H. Sompolinsky;A. Crisanti;A. Crisanti;H. J. Sommers

  • Statistical mechanics of neural networks near saturation

    Daniel J Amit;Hanoch Gutfreund;H Sompolinsky

  • The tempotron: a neuron that learns spike timing–based decisions

    Robert Gütig;Haim Sompolinsky;Haim Sompolinsky;Haim Sompolinsky

  • Chaotic balanced state in a model of cortical circuits

    C. van Vreeswijk;H. Sompolinsky

  • Simple models for reading neuronal population codes

    H S Seung;H Sompolinsky

  • Temporal association in asymmetric neural networks.

    H. Sompolinsky;I. Kanter

  • Statistical mechanics of learning from examples

    Hyunjune Sebastian Seung;Hyunjune Sebastian Seung;H. Sompolinsky;H. Sompolinsky;N. Tishby

  • Relaxational dynamics of the Edwards-Anderson model and the mean-field theory of spin-glasses

    H. Sompolinsky;Annette Zippelius

  • Learning Input Correlations through Nonlinear Temporally Asymmetric Hebbian Plasticity

    R. Gütig;R. Aharonov;S. Rotter;Haim Sompolinsky;Haim Sompolinsky

  • Associative recall of memory without errors

    I. Kanter;H. Sompolinsky

  • Spectrum of large random asymmetric matrices

    H. J. Sommers;A. Crisanti;H. Sompolinsky;Y. Stein

  • Information storage in neural networks with low levels of activity

    Daniel J. Amit;Hanoch Gutfreund;H. Sompolinsky

  • Synchronization and computation in a chaotic neural network.

    D. Hansel;H. Sompolinsky

  • Population coding in neuronal systems with correlated noise.

    Haim Sompolinsky;Hyoungsoo Yoon;Kukjin Kang;Maoz Shamir

  • Optimal Degrees of Synaptic Connectivity

    Ashok Litwin-Kumar;Kameron Decker Harris;Richard Axel;Richard Axel;Haim Sompolinsky;Haim Sompolinsky;Haim Sompolinsky

  • Bistability of cerebellar Purkinje cells modulated by sensory stimulation.

    Yonatan Loewenstein;Séverine Mahon;Paul Chadderton;Kazuo Kitamura

  • Equilibrium properties of temporally asymmetric Hebbian plasticity.

    Jonathan Rubin;Daniel D. Lee;H. Sompolinsky;H. Sompolinsky

Frequent Co-Authors

Shlomo Havlin
Shlomo Havlin Bar-Ilan University
Markus Meister
Markus Meister California Institute of Technology
Andrea Crisanti
Andrea Crisanti University of Padua
Surya Ganguli
Surya Ganguli Stanford University
David Golomb
David Golomb Ben-Gurion University of the Negev
David Kleinfeld
David Kleinfeld University of California, San Diego
Yosef Yarom
Yosef Yarom Hebrew University of Jerusalem
Florian Engert
Florian Engert Harvard University
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Gabriel Kotliar
Gabriel Kotliar Rutgers, The State University of New Jersey

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