World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
15045
World Ranking
4727
National Ranking
2199

Joshua T. Vogelstein 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 Joshua T. Vogelstein 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: 284 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Joshua T. Vogelstein 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 Joshua T. Vogelstein 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Joshua T. Vogelstein is affiliated with Johns Hopkins University in the United States. Their research spans neuroscience and medicine, with a significant focus on cognitive neuroscience, artificial intelligence, and advanced imaging techniques. Vogelstein's scholarly work involves intersecting fields including radiology, nuclear medicine, molecular biology, and statistics and probability.

Their main topics of study cover a broad range of areas within neuroscience and medical imaging. These include:

  • Functional Brain Connectivity Studies
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Neural dynamics and brain function
  • Cell Image Analysis Techniques
  • Complex Network Analysis Techniques
  • COVID-19 Clinical Research Studies

Vogelstein has published frequently in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), NeuroImage, Nature Communications, and eLife.

The scientist's recent published papers include:

  • "The connectome of an insect brain", 2023, Science
  • "Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets", 2020, Nature Communications
  • "Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish", 2023, Frontiers in Science
  • "Biological underpinnings for lifelong learning machines", 2022, Nature Machine Intelligence
  • "Toward a connectivity gradient-based framework for reproducible biomarker discovery", 2020, NeuroImage

Among Vogelstein's frequent co-authors are Carey E. Priebe, Eric Bridgeford, Michael P. Milham, Michael Powell, and Brian Caffo. These collaborations reflect an interdisciplinary approach to research intersecting neuroinformatics, machine learning, and brain connectivity.

Best Publications

  • Detection and localization of surgically resectable cancers with a multi-analyte blood test

    Joshua D. Cohen;Lu Li;Yuxuan Wang;Christopher Thoburn

  • Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex.

    Sonja B Hofer;Ho Ko;Bruno Pichler;Bruno Pichler;Joshua T Vogelstein

  • Fast Nonnegative Deconvolution for Spike Train Inference From Population Calcium Imaging

    Joshua T. Vogelstein;Adam M. Packer;Timothy A. Machado;Tanya Sippy

  • Imaging human connectomes at the macroscale

    R Cameron Craddock;Saad Jbabdi;Chao-Gan Yan;Chao-Gan Yan;Chao-Gan Yan;Joshua T Vogelstein

  • Fast non-negative deconvolution for spike train inference from population calcium imaging

    Joshua T. Vogelstein;Adam M. Packer;Tim A. Machado;Tanya Sippy

  • Whole-brain serial-section electron microscopy in larval zebrafish

    David Grant Colburn Hildebrand;Marcelo Cicconet;Russel M. Iguel Torres;Russel M. Iguel Torres;Woohyuk Choi

  • Spike Inference from Calcium Imaging Using Sequential Monte Carlo Methods

    Joshua T. Vogelstein;Brendon O. Watson;Adam M. Packer;Rafael Yuste;Rafael Yuste

  • Discovery of Brainwide Neural-Behavioral Maps via Multiscale Unsupervised Structure Learning

    Joshua T. Vogelstein;Youngser Park;Tomoko Ohyama;Rex A. Kerr

  • A new look at state-space models for neural data

    Liam Paninski;Yashar Ahmadian;Daniel Gil Ferreira;Shinsuke Koyama

  • Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses

    R.J. Vogelstein;U. Mallik;J.T. Vogelstein;G. Cauwenberghs

  • Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets.

    Marc-Andre Schulz;B. T. Thomas Yeo;Joshua T. Vogelstein;Janaina Mourao-Miranada

  • DELTACON: A Principled Massive-Graph Similarity Function

    Unknown

  • Cross-species functional alignment reveals evolutionary hierarchy within the connectome.

    Ting Xu;Karl Heinz Nenning;Ernst Schwartz;Seok Jun Hong

  • FlashGraph: processing billion-node graphs on an array of commodity SSDs

    Da Zheng;Disa Mhembere;Randal Burns;Joshua Vogelstein

  • DELTACON: A principled massive-graph similarity function

    Danai Koutra;Joshua T. Vogelstein;Christos Faloutsos

  • Toward a connectivity gradient-based framework for reproducible biomarker discovery.

    Seok-Jun Hong;Ting Xu;Aki Nikolaidis;Jonathan Smallwood

  • Fast approximate quadratic programming for graph matching.

    Joshua T. Vogelstein;John M. Conroy;Vince Lyzinski;Louis J. Podrazik

  • Covariate-assisted spectral clustering

    Norbert Binkiewicz;Joshua T. Vogelstein;Karl Rohe

  • Toward Neurosubtypes in Autism.

    Seok-Jun Hong;Joshua T. Vogelstein;Alessandro Gozzi;Boris C. Bernhardt

  • DeltaCon: Principled Massive-Graph Similarity Function with Attribution

    Danai Koutra;Neil Shah;Joshua T. Vogelstein;Brian Gallagher

  • Statistical inference on random dot product graphs: a survey

    Avanti Athreya;Donniell E. Fishkind;Minh Tang;Carey E. Priebe

  • Graph Matching: Relax at Your Own Risk

    Vince Lyzinski;Donniell E. Fishkind;Marcelo Fiori;Joshua T. Vogelstein

  • Low-cost electroencephalogram (EEG) based authentication

    C. Ashby;A. Bhatia;F. Tenore;J. Vogelstein

Frequent Co-Authors

Carey E. Priebe
Carey E. Priebe Johns Hopkins University
Randal Burns
Randal Burns Johns Hopkins University
Michael P. Milham
Michael P. Milham Child Mind Institute
Ting Xu
Ting Xu University of California, Davis
Susan Athey
Susan Athey Stanford University
Bert Vogelstein
Bert Vogelstein Johns Hopkins University
Mauro Maggioni
Mauro Maggioni Johns Hopkins University
Kenneth W. Kinzler
Kenneth W. Kinzler Johns Hopkins University
Brett D. Mensh
Brett D. Mensh Howard Hughes Medical Institute
Nickolas Papadopoulos
Nickolas Papadopoulos Johns Hopkins University School of Medicine

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