World's Best Scientists 2026 revealed!
H. Sebastian Seung

H. Sebastian Seung

D-Index & Metrics

Engineering and Technology

D-Index
70
Citations
47877
World Ranking
1010
National Ranking
343

H. Sebastian Seung 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 H. Sebastian Seung 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: 153 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

H. Sebastian Seung 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 H. Sebastian Seung 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: 70 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

H. Sebastian Seung is a researcher affiliated with Princeton University in the United States. Their work primarily spans the fields of neuroscience and biochemistry, genetics, and molecular biology, with significant contributions to subfields including cellular and molecular neuroscience, cognitive neuroscience, biophysics, structural biology, and molecular biology.

Their research covers a variety of topics related to neural dynamics and brain function, neurobiology and insect physiology, neuroscience and neuropharmacology, advanced electron microscopy techniques, cell image analysis, photoreceptor and optogenetics research, as well as neuroinflammation and neurodegeneration mechanisms.

Seung has published extensively, with frequent appearances in venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature, Zenodo (CERN European Organization for Nuclear Research), Nature Methods, and eLife. Among their recent papers are:

  • Neuronal wiring diagram of an adult brain, 2024, Nature
  • FlyWire: online community for whole-brain connectomics, 2021, Nature Methods
  • Whole-brain annotation and multi-connectome cell typing of Drosophila, 2024, Nature
  • Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity, 2022, Cell
  • The Mind of a Mouse, 2020, Cell

Their frequent collaborators include Nico Kemnitz, Sven Dorkenwald, William Silversmith, Jingpeng Wu, and Thomas Macrina, reflecting a strong network of partnerships throughout their research career.

Best Publications

  • Learning the parts of objects by non-negative matrix factorization

    Daniel D. Lee;H. Sebastian Seung;H. Sebastian Seung

  • Algorithms for Non-negative Matrix Factorization

    Daniel D. Lee;H. Sebastian Seung

  • Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.

    Ignacio Arganda-Carreras;Ignacio Arganda-Carreras;Verena Kaynig;Curtis Rueden;Kevin W. Eliceiri

  • Query by committee

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

  • Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

    R. H R Hahnloser;R. Sarpeshkar;R. Sarpeshkar;M. A. Mahowald;R. J. Douglas

  • Selective Sampling Using the Query by Committee Algorithm

    Yoav Freund;H. Sebastian Seung;Eli Shamir;Naftali Tishby

  • The manifold ways of perception

    H. Sebastian Seung;Daniel D. Lee

  • Serial two-photon tomography for automated ex vivo mouse brain imaging

    Timothy Ragan;Lolahon R Kadiri;Kannan Umadevi Venkataraju;Karsten Bahlmann

  • How the brain keeps the eyes still.

    Unknown

  • Space–time wiring specificity supports direction selectivity in the retina

    Jinseop S. Kim;Matthew J. Greene;Aleksandar Zlateski;Kisuk Lee

  • Simple, Scalable Proteomic Imaging for High-Dimensional Profiling of Intact Systems

    Evan Murray;Jae Hun Cho;Daniel Goodwin;Taeyun Ku;Taeyun Ku

  • Convolutional networks can learn to generate affinity graphs for image segmentation

    Srinivas C. Turaga;Joseph F. Murray;Viren Jain;Fabian Roth

  • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission.

    H.Sebastian Seung

  • Stability of the memory of eye position in a recurrent network of conductance-based model neurons.

    H.Sebastian Seung;H.Sebastian Seung;Daniel D. Lee;Ben Y. Reis;David W. Tank

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Mapping Social Behavior-Induced Brain Activation at Cellular Resolution in the Mouse

    Yongsoo Kim;Kannan Umadevi Venkataraju;Kith Pradhan;Carolin Mende

  • A solution to the single-question crowd wisdom problem

    Dražen Prelec;H. Sebastian Seung;John McCoy

  • Motor Learning with Unstable Neural Representations

    Uri Rokni;Andrew G. Richardson;Emilio Bizzi;Emilio Bizzi;H. Sebastian Seung

  • Supervised Learning of Image Restoration with Convolutional Networks

    V. Jain;J.F. Murray;F. Roth;S. Turaga

  • Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology

    J. Alexander Bae;Shang Mu;Jinseop S. Kim;Nicholas L. Turner

  • Superhuman Accuracy on the SNEMI3D Connectomics Challenge.

    Kisuk Lee;Jonathan Zung;Peter H. Li;Viren Jain

  • Linear-Nonlinear-Poisson Models of Primate Choice Dynamics

    Greg S. Corrado;Leo P. Sugrue;H. Sebastian Seung;H. Sebastian Seung;William T. Newsome

  • Hierarchical connectivity and connection-specific dynamics in the corticospinal-corticostriatal microcircuit in mouse motor cortex.

    Taro Kiritani;Ian R. Wickersham;H. Sebastian Seung;Gordon M. G. Shepherd

  • Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks

    Richard H. R. Hahnloser;H. Sebastian Seung

  • Unsupervised Learning by Convex and Conic Coding

    Daniel D. Lee;H. Sebastian Seung

Frequent Co-Authors

Moritz Helmstaedter
Moritz Helmstaedter Max Planck Society
Jeff W. Lichtman
Jeff W. Lichtman Harvard University
David W. Tank
David W. Tank Princeton University
Richard H. R. Hahnloser
Richard H. R. Hahnloser University of Zurich
Andreas S. Tolias
Andreas S. Tolias Baylor College of Medicine
Pavel Osten
Pavel Osten Cold Spring Harbor Laboratory
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Albert Cardona
Albert Cardona University of Cambridge

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing H. Sebastian Seung

Trending Scientists