World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
4086
World Ranking
12762
National Ranking
810

Ian Daly 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 Ian Daly 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: 98 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Ian Daly 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 Ian Daly 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

Ian Daly is affiliated with the University of Essex in the United Kingdom. Their research spans interdisciplinary areas involving neuroscience and computer science, focusing heavily on brain-computer interfaces (BCI), neural dynamics, and advanced neural computing techniques.

Their significant research output includes contributions to both theoretical and applied aspects of neural engineering and signal processing. Among their recent papers are:

  • Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing, 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification, 2021, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • BCI-Based Rehabilitation on the Stroke in Sequela Stage, 2020, Neural Plasticity
  • SincNet-Based Hybrid Neural Network for Motor Imagery EEG Decoding, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Their work addresses topics such as EEG and brain-computer interfaces, neural dynamics, and rehabilitation engineering.

Ian Daly frequently collaborates with a consistent group of coauthors, indicating active involvement in a research community specializing in neural systems and rehabilitation. Their frequent coauthors include:

  • Jing Jin
  • Andrzej Cichocki
  • Xingyu Wang
  • Shurui Li
  • Yangyang Miao

Their research is regularly published in several key venues, with multiple publications in:

  • Journal of Neural Engineering
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Journal of Neuroscience Methods
  • Frontiers in Neuroscience
  • TUGraz OPEN Library (Graz University of Technology)

Ian Daly's scholarly output is concentrated mainly in two primary fields of study:

  • Neuroscience
  • Computer Science

Within these fields, their specialized subfields of study include:

  • Cognitive Neuroscience
  • Electrical and Electronic Engineering
  • Human-Computer Interaction
  • Cellular and Molecular Neuroscience
  • Signal Processing

The main topics of Ian Daly's work reflect a focus on interdisciplinary approaches that bridge neuroscience and engineering:

  • EEG and Brain-Computer Interfaces
  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Gaze Tracking and Assistive Technology
  • Blind Source Separation Techniques
  • Functional Brain Connectivity Studies

Best Publications

  • Correlation-based channel selection and regularized feature optimization for MI-based BCI

    Jing Jin;Yangyang Miao;Ian Daly;Cili Zuo

  • Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

    Jing Jin;Ruocheng Xiao;Ian Daly;Yangyang Miao

  • FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing

    Ian Daly;Reinhold Scherer;Martin Billinger;Gernot Muller-Putz

  • A new hybrid BCI paradigm based on P300 and SSVEP.

    Minjue Wang;Ian Daly;Brendan Z. Allison;Jing Jin

  • Neural correlates of emotional responses to music: An EEG study

    Ian Daly;Asad Malik;Faustina Hwang;Etienne Roesch

  • Towards correlation-based time window selection method for motor imagery BCIs.

    Jiankui Feng;Erwei Yin;Jing Jin;Rami Saab

  • Relationship Between Electrical Brain Responses to Motor Imagery and Motor Impairment in Stroke

    Vera Kaiser;Ian Daly;Floriana Pichiorri;Donatella Mattia

  • Brain computer interface control via functional connectivity dynamics

    Ian Daly;Slawomir J. Nasuto;Kevin Warwick

  • Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification

    Yangyang Miao;Jing Jin;Ian Daly;Cili Zuo

  • Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

    Jing Jin;Chang Liu;Ian Daly;Yangyang Miao

  • On the control of brain-computer interfaces by users with cerebral palsy.

    Ian Daly;Martin Billinger;José Laparra-Hernández;Fabio Aloise

  • Is It Significant? Guidelines for Reporting BCI Performance

    Martin Billinger;Ian Daly;Vera Kaiser;Jing Jin

  • An optimized ERP Brain-computer interface based on facial expression changes

    Jing Jin;Ian Daly;Yu Zhang;Xingyu Wang

  • BCI-Based Rehabilitation on the Stroke in Sequela Stage

    Yangyang Miao;Shugeng Chen;Xinru Zhang;Jing Jin

  • The Study of Generic Model Set for Reducing Calibration Time in P300-Based Brain–Computer Interface

    Jing Jin;Shurui Li;Ian Daly;Yangyang Miao

  • What does clean EEG look like

    Ian Daly;Floriana Pichiorri;Josef Faller;Vera Kaiser

  • On the Automated Removal of Artifacts Related to Head Movement From the EEG

    I. Daly;M. Billinger;R. Scherer;G. Muller-Putz

  • Automated artifact removal from the electroencephalogram: a comparative study.

    Ian Daly;Nicoletta Nicolaou;Slawomir Jaroslaw Nasuto;Kevin Warwick

  • Motor imagery-induced EEG patterns in individuals with spinal cord injury and their impact on brain-computer interface accuracy.

    Gernot Müller-Putz;Ian Daly;Vera Kaiser

  • An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System.

    Jian Kui Feng;Jing Jin;Ian Daly;Jiale Zhou

  • Separating heart and brain: on the reduction of physiological noise from multichannel functional near-infrared spectroscopy (fNIRS) signals

    Günther Bauernfeind;Selina Wriessnegger;Ian Daly;Gernot Müller-Putz

  • An improved P300 pattern in BCI to catch user’s attention

    Jing Jin;Hanhan Zhang;Ian Daly;Xingyu Wang

Frequent Co-Authors

Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Jing Jin
Jing Jin East China University of Science and Technology
Xingyu Wang
Xingyu Wang East China University of Science and Technology
Eduardo Miranda
Eduardo Miranda Stanford University
Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Reinhold Scherer
Reinhold Scherer University of Essex
Kevin Warwick
Kevin Warwick Coventry University
Clemens Brunner
Clemens Brunner University of Graz
Brendan Z. Allison
Brendan Z. Allison University of California, San Diego
Mikhail A. Lebedev
Mikhail A. Lebedev Moscow State University

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