World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5051
World Ranking
8739
National Ranking
556

Howard Bowman 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 Howard Bowman 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: 231 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Howard Bowman 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 Howard Bowman 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: 36 D-Index — 13th percentile

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

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

Overview

Howard Bowman is affiliated with the University of Birmingham in the United Kingdom and specializes primarily in the field of Neuroscience. Their research spans multiple subfields, prominently including Cognitive Neuroscience, Artificial Intelligence, Social Psychology, Epidemiology, and Rehabilitation.

Bowman's work covers various main topics such as:

  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Acute Ischemic Stroke Management
  • Neurobiology of Language and Bilingualism
  • Memory and Neural Mechanisms

A selection of recent papers authored by or involving Bowman includes:

  • "I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data", 2020, Neuroscience & Biobehavioral Reviews
  • "Damage to Broca's area does not contribute to long-term speech production outcome after stroke", 2020, Brain
  • "Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment", 2020, Brain
  • "Hippocampal neurons code individual episodic memories in humans", 2023, Nature Human Behaviour
  • "Understanding visual attention with RAGNAROC: A reflexive attention gradient through neural AttRactOr competition.", 2020, Psychological Review

Frequent co-authors collaborating with Bowman include:

  • Théophile Champion
  • Marek Grześ
  • Thomas M.H. Hope
  • Cathy J. Price
  • Alberto Avilés

Bowman has published frequently in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Neural Computation
  • Neuroscience & Biobehavioral Reviews

Best Publications

  • The simultaneous type, serial token model of temporal attention and working memory.

    Howard Bowman;Brad Wyble

  • Deep temporal models and active inference

    Karl J. Friston;Richard Rosch;Thomas Parr;Cathy Price

  • Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

    Tarek R. Besold;Artur d'Avila Garcez;Sebastian Bader;Howard Bowman

  • I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data

    Mahan Hosseini;Michael Powell;John Collins;Chloe Callahan-Flintoft

  • Attentional episodes in visual perception

    Brad Wyble;Mary C. Potter;Howard Bowman;Mark Nieuwenstein

  • Neural correlates of intrusion of emotion words in a modified Stroop task

    Johanna C. Van Hooff;Kristina Charlotte Dietz;Dinkar Sharma;Howard Bowman

  • Erratum: Deep temporal models and active inference (Neuroscience & Biobehavioral Reviews (2017) 77 (388–402) (S0149763416307096) (10.1016/j.neubiorev.2017.04.009))

    Karl J. Friston;Richard Rosch;Thomas Parr;Cathy Price

  • The Temporal Signature of Memories: Identification of a General Mechanism for Dynamic Memory Replay in Humans

    Sebastian Michelmann;Howard Bowman;Howard Bowman;Simon Hanslmayr

  • Dissociating local and global levels of perceptuo-motor control in masked priming

    Friederike Schlaghecken;Howard Bowman;Martin Eimer

  • Speed of time-compressed forward replay flexibly changes in human episodic memory

    Sebastian Michelmann;Bernhard P Staresina;Howard Bowman;Howard Bowman;Simon Hanslmayr

  • The attentional blink reveals serial working memory encoding: Evidence from virtual and human event-related potentials

    Patrick Craston;Brad Wyble;Srivas Chennu;Howard Bowman

  • Data-driven region-of-interest selection without inflating Type I error rate

    Joseph L. Brooks;Alexia Zoumpoulaki;Howard Bowman

  • A Decision Procedure and Complete Axiomatization of Finite Interval Temporal Logic with Projection

    Howard Bowman;Simon J. Thompson

  • A Formal Framework for Viewpoint Consistency

    H. Bowman;M. W. A. Steen;E. A. Boiten;J. Derrick

  • The impact of sample size on the reproducibility of voxel-based lesion-deficit mappings

    Diego L. Lorca-Puls;Diego L. Lorca-Puls;Andrea Gajardo-Vidal;Andrea Gajardo-Vidal;Jitrachote White;Mohamed L. Seghier;Mohamed L. Seghier

  • A neural network model of inhibitory processes in subliminal priming

    Howard Bowman;Friederike Schlaghecken;Martin Eimer

  • Viewpoint consistency in ODP

    Eerke Boiten;Howard Bowman;John Derrick;Peter Linington

  • Attention Increases the Temporal Precision of Conscious Perception: Verifying the Neural-ST2 Model

    Srivas Chennu;Patrick Craston;Bradley P. Wyble;Howard Bowman

  • EEG oscillations during word processing predict MCI conversion to Alzheimer's disease.

    Ali Mazaheri;Katrien Segaert;John M Olichney;Jin Chen Yang

  • Concurrency Theory: Calculi an Automata for Modelling Untimed and Timed Concurrent Systems

    Howard Bowman;Rodolfo Gomez

  • FDTs for ODP

    Howard Bowman;John Derrick;Peter Linington;Maarten Steen

  • Formal Specifications of Distributed Multimedia Systems

    Gordon Blair;Lynne Blair;Amanda Chetwynd;Howard Bowman

  • Analysis of a Multimedia Stream using Stochastic Process Algebra

    Howard Bowman;Jeremy W. Bryans;John Derrick

  • Cross-viewpoint consistency in open distributed processing

    Howard Bowman;John Derrick;Peter W. A. Linington;Maarten W. A. Steen

  • Strategic regulation of cognitive control by emotional salience: A neural network model

    Bradley Wyble;Dinkar Sharma;Howard Bowman

  • Efficient detection of Zeno runs in timed automata

    Rodolfo Gómez;Howard Bowman

  • I TRIED A BUNCH OF THINGS: THE DANGERS OF UNEXPECTED OVERFITTING IN CLASSIFICATION

    Michael Skocik;John Collins;Chloe Callahan-Flintoft;Howard Bowman

  • How to stop time stopping

    Howard Bowman;Rodolfo Gómez

  • Model checking stochastic automata

    Jeremy Bryans;Howard Bowman;John Derrick

  • The cost of space independence in P300-BCI spellers

    Srivas Chennu;Abdulmajeed Alsufyani;Abdulmajeed Alsufyani;Marco Filetti;Adrian M Owen

  • Rendering information processing models of cognition and affect compu- tationally explicit: distributed executive control and the deployment of attention

    Philip J. Barnard;Howard Bowman

  • Time and Action Lock Freedom Properties for Timed Automata

    Howard Bowman

  • Latency as a region contrast: Measuring ERP latency differences with Dynamic Time Warping.

    Alexia Zoumpoulaki;Abdulmajeed Alsufyani;Marco Filetti;Mick Brammer

  • Modelling Timeouts without Timelocks

    Howard Bowman

  • Process algebraic modelling of attentional capture and human electrophysiology in interactive systems

    Li Su;Howard Bowman;Philip Barnard;Brad Wyble

  • A Formal Description Technique Supporting Expression of Quality of Service and Media Synchronisation

    Howard Bowman;Lynne Blair;Gordon S. Blair;Amanda G. Chetwynd

Frequent Co-Authors

John Derrick
John Derrick University of Sheffield
Simon Hanslmayr
Simon Hanslmayr University of Glasgow
Gordon S. Blair
Gordon S. Blair Lancaster University
Karl J. Friston
Karl J. Friston University College London
Alexander P. Leff
Alexander P. Leff University College London
Martin Eimer
Martin Eimer Birkbeck, University of London
Cathy J. Price
Cathy J. Price University College London
Bernhard P. Staresina
Bernhard P. Staresina University of Birmingham
Vladimir Litvak
Vladimir Litvak University College London

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