World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6532
World Ranking
12473
National Ranking
5060

Uri T. Eden 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 Uri T. Eden 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: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Uri T. Eden 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 Uri T. Eden 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Uri T. Eden is affiliated with Boston University in the United States and specializes in the field of Neuroscience. Their research contributions span a range of topics within cognitive neuroscience, cellular and molecular neuroscience, psychiatry and mental health, artificial intelligence, and experimental and cognitive psychology.

The scientist's primary areas of study include:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neuropharmacology Research
  • Functional Brain Connectivity Studies
  • Memory and Neural Mechanisms
  • Epilepsy research and treatment
  • Sleep and Wakefulness Research

Uri T. Eden has published extensively in many venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • SLEEP
  • Brain
  • Neuron
  • Journal of Neuroscience

Key recent papers that highlight their contributions include:

  • "Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice" (2021, Neuron)
  • "Closed-loop enhancement and neural decoding of cognitive control in humans" (2021, Nature Biomedical Engineering)
  • "Focal Sleep Spindle Deficits Reveal Focal Thalamocortical Dysfunction and Predict Cognitive Deficits in Sleep Activated Developmental Epilepsy" (2021, Journal of Neuroscience)
  • "Hippocampal replay of experience at real-world speeds" (2021, eLife)
  • "Spike ripples localize the epileptogenic zone best: an international intracranial study" (2024, Brain)

Collaboration forms a significant component of Uri T. Eden's research output. Frequent co-authors include:

  • Mark Kramer
  • Catherine J. Chu
  • Ali Yousefi
  • Loren M. Frank
  • Sydney S. Cash

Best Publications

  • Hippocampal “Time Cells” Bridge the Gap in Memory for Discontiguous Events

    Christopher J. MacDonald;Kyle Q. Lepage;Uri T. Eden;Howard Eichenbaum

  • A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects.

    Wilson Truccolo;Uri T. Eden;Matthew R. Fellows;John P. Donoghue

  • Dynamic analysis of neural encoding by point process adaptive filtering

    Uri T. Eden;Loren M. Frank;Riccardo Barbieri;Victor Solo

  • Likelihood Methods for Neural Spike Train Data Analysis

    Emery Brown;Riccardo Barbieri;Uri Eden;Loren Frank

  • Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice.

    Anna K. Gillespie;Daniela A. Astudillo Maya;Eric L. Denovellis;Daniel F. Liu

  • Analysis of Neural Data

    Robert E. Kass;Uri T. Eden;Emery N. Brown

  • Network inference with confidence from multivariate time series.

    Mark A. Kramer;Uri T. Eden;Sydney S. Cash;Eric D. Kolaczyk

  • Transcranial magnetic stimulation and stroke: a computer-based human model study.

    Tim A. Wagner;Felipe Fregni;Uri T. Eden;Ciro Ramos-Estebanez

  • Analysis of Between-Trial and Within-Trial Neural Spiking Dynamics

    Gabriela Czanner;Uri Tzvi Eden;Sylvia Wirth;Marianna Yanike

  • Transcranial magnetic stimulation and brain atrophy: a computer-based human brain model study

    Tim Wagner;Tim Wagner;Uri Eden;Uri Eden;Felipe Fregni;Antoni Valero-Cabre;Antoni Valero-Cabre

  • A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals

    Lakshminarayan Srinivasan;Uri T. Eden;Alan S. Willsky;Emery N. Brown

  • Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone

    Felipe Gerhard;Tilman Kispersky;Gabrielle J. Gutierrez;Gabrielle J. Gutierrez;Eve Marder

  • Construction of Point Process Adaptive Filter Algorithms for Neural Systems Using Sequential Monte Carlo Methods

    A. Ergun;R. Barbieri;U.T. Eden;M.A. Wilson

  • Drawing inferences from Fano factor calculations

    Uri T. Eden;Mark A. Kramer

  • General-Purpose Filter Design for Neural Prosthetic Devices

    Lakshminarayan Srinivasan;Uri T. Eden;Sanjoy K. Mitter;Emery N. Brown

  • Closed-loop enhancement and neural decoding of cognitive control in humans

    Ishita Basu;Ali Yousefi;Ali Yousefi;Britni Crocker;Rina Zelmann

  • Hippocampal replay of experience at real-world speeds.

    Eric L Denovellis;Anna K Gillespie;Michael E Coulter;Marielena Sosa

  • Clusterless decoding of position from multiunit activity using a marked point process filter

    Xinyi Deng;Daniel F. Liu;Kenneth Kay;Loren M. Frank

  • Impact of brain tissue filtering on neurostimulation fields: a modeling study.

    Tim A. Wagner;Uri T. Eden;Jarrett Rushmore;Christopher J. Russo

  • Using Point Process Models to Compare Neural Spiking Activity in the Subthalamic Nucleus of Parkinson's Patients and a Healthy Primate

    Sridevi V Sarma;Uri T Eden;Ming L Cheng;Ziv M Williams

  • Stable encoding of task structure coexists with flexible coding of task events in sensorimotor striatum.

    Yasuo Kubota;Jun Liu;Dan Hu;William E. DeCoteau

  • Stable Encoding of Task Structure Coexists with Flexible Coding of Task Sensorimotor Striatum

    Yasuo Kubota;Jun Liu;Dan Hu;William E. DeCoteau

Frequent Co-Authors

Mark A. Kramer
Mark A. Kramer Boston University
Emad N. Eskandar
Emad N. Eskandar Albert Einstein College of Medicine
Loren M. Frank
Loren M. Frank University of California, San Francisco
Sydney S. Cash
Sydney S. Cash Harvard University
robert e kass
robert e kass Carnegie Mellon University
Darin D. Dougherty
Darin D. Dougherty Harvard University
Antoni Valero-Cabré
Antoni Valero-Cabré Sorbonne University
Alvaro Pascual-Leone
Alvaro Pascual-Leone Harvard University
Wilson Truccolo
Wilson Truccolo Brown University

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