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TM McGinnity

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 43 7904 7677 471 464 410 8920

TM McGinnity publications per year

The chart shows the history of publications by TM McGinnity between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. TM McGinnity published across 29 years, from 1997 to 2025, averaging 14.9 papers a year. Output peaked at 36 publications in 2011. 2 of the 432 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 36. Peak 36 publications in 2011. 1997: 3 publications 1998: 4 publications 1999: 6 publications 2000: 5 publications 2001: 9 publications 2002: 6 publications 2003: 16 publications 2004: 19 publications 2005: 18 publications 2006: 29 publications 2007: 16 publications 2008: 21 publications 2009: 18 publications 2010: 29 publications 2011: 36 publications 2012: 29 publications 2013: 22 publications 2014: 29 publications 2015: 25 publications 2016: 17 publications 2017: 9 publications 2018: 21 publications 2019: 11 publications 2020: 9 publications 2021: 12 publications 2022: 4 publications 2023: 7 publications 2024: 1 publication 2025: 1 publication
1997 2025

432 publications in total across all disciplines

View publications per year as a table
TM McGinnity: publications per year, 1997 to 2025
Year Publications
1997 3
1998 4
1999 6
2000 5
2001 9
2002 6
2003 16
2004 19
2005 18
2006 29
2007 16
2008 21
2009 18
2010 29
2011 36
2012 29
2013 22
2014 29
2015 25
2016 17
2017 9
2018 21
2019 11
2020 9
2021 12
2022 4
2023 7
2024 1
2025 1
Total 432
Download as CSV

TM McGinnity 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 TM McGinnity sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 402–411 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 410 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104 410
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

TM McGinnity 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 TM McGinnity sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 42–43 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821 43
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

TM McGinnity is affiliated with the University of Ulster in the United Kingdom and has contributed extensively to multiple fields, including neuroscience, computer science, and engineering. Their research spans a variety of specialized subfields such as cognitive neuroscience, artificial intelligence, molecular biology, electrical and electronic engineering, and biomedical engineering.

Their work focuses on several main topics including time series analysis and forecasting, neural dynamics and brain function, anomaly detection techniques and applications, EEG and brain-computer interfaces, autism spectrum disorder research, retinal development and disorders, and the broader field of neuroscience and neural engineering.

TM McGinnity has published their research in a variety of venues. Frequent publication sources include arXiv (Cornell University), IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Access, and Nottingham Trent University's Institutional Repository.

Key recent papers by TM McGinnity encompass:

  • Deep learning in mining biological data, 2021, Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)
  • AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning, 2020, Neurocomputing
  • Variations in the oral microbiome are associated with depression in young adults, 2021, Scientific Reports
  • The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems, 2021, IEEE Transactions on Cognitive and Developmental Systems
  • Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data, 2021, IEEE Transactions on Neural Networks and Learning Systems

The scientist frequently collaborates with several co-authors, including Sonya Coleman, Mufti Mahmud, Damien Coyle, Richard Gault, and Kieran Woodward.

Best Publications

  • Deep Learning in Mining Biological Data

    Mufti Mahmud;M. Shamim Kaiser;T. Martin McGinnity;Amir Hussain

  • A review of learning in biologically plausible spiking neural networks

    Aboozar Taherkhani;Ammar Belatreche;Yuhua Li;Georgina Cosma

  • Comparative Analysis of Spectral Approaches to Feature Extraction for EEG-Based Motor Imagery Classification

    P. Herman;G. Prasad;T.M. McGinnity;D. Coyle

  • An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network

    Gang Leng;Thomas Martin McGinnity;Girijesh Prasad

  • Predicting a chaotic time series using a fuzzy neural network

    L. P. Maguire;B. Roche;T. M. McGinnity;L. J. McDaid

  • Fault diagnosis of electronic systems using intelligent techniques: a review

    W.G. Fenton;T.M. McGinnity;L.P. Maguire

  • AdaBoost-CNN: An Adaptive Boosting algorithm for Convolutional Neural Networks to classify Multi-Class Imbalanced datasets using Transfer Learning

    Aboozar Taherkhani;Georgina Cosma;T.M. McGinnity;T.M. McGinnity

  • Challenges for large-scale implementations of spiking neural networks on FPGAs

    L. P. Maguire;T. M. McGinnity;B. Glackin;A. Ghani

  • An on-line algorithm for creating self-organizing fuzzy neural networks

    Gang Leng;Girijesh Prasad;Thomas Martin McGinnity

  • Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

    Gang Leng;T.M. McGinnity;G. Prasad

  • Forecasting price movements using technical indicators: Investigating the impact of varying input window length

    Yauheniya Shynkevich;T.M. McGinnity;T.M. McGinnity;Sonya A. Coleman;Ammar Belatreche

  • Quantum Neural Network-Based EEG Filtering for a Brain–Computer Interface

    Vaibhav Gandhi;Girijesh Prasad;Damien Coyle;Laxmidhar Behera

  • A time-series prediction approach for feature extraction in a brain-computer interface

    D. Coyle;G. Prasad;T.M. McGinnity

  • Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection

    Yi Cao;Yuhua Li;Sonya Coleman;Ammar Belatreche

  • EEG-Based Mobile Robot Control Through an Adaptive Brain–Robot Interface

    Vaibhav Gandhi;Girijesh Prasad;Damien Coyle;Laxmidhar Behera

  • A Distributed Task Allocation Algorithm for a Multi-Robot System in Healthcare Facilities

    Gautham P. Das;Thomas M. Mcginnity;Sonya A. Coleman;Laxmidhar Behera

  • The sound-induced flash illusion reveals dissociable age-related effects in multisensory integration.

    David P. McGovern;Eugenie Roudaia;John Stapleton;T. Martin McGinnity

  • An online supervised learning method for spiking neural networks with adaptive structure

    Jinling Wang;Ammar Belatreche;Liam Maguire;Thomas Martin Mcginnity

  • Forecasting movements of health-care stock prices based on different categories of news articles using multiple kernel learning

    Yauheniya Shynkevich;T.M. McGinnity;Sonya A. Coleman;Ammar Belatreche

  • EEG-based continuous control of a game using a 3 channel motor imagery BCI: BCI game

    Damien Coyle;Jhonatan Garcia;Abdul R Satti;T Martin McGinnity

  • Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a Brain–Computer Interface

    D. Coyle;G. Prasad;T.M. McGinnity

Frequent Co-Authors

Liam Maguire
Liam Maguire University of Ulster
Girijesh Prasad
Girijesh Prasad University of Ulster
Damien Coyle
Damien Coyle University of Ulster
Laxmidhar Behera
Laxmidhar Behera Indian Institute of Technology Kanpur
Christian Hölscher
Christian Hölscher Henan University
Stefano Chessa
Stefano Chessa University of Pisa
Alessandro Saffiotti
Alessandro Saffiotti Örebro University
Mufti Mahmud
Mufti Mahmud Nottingham Trent University
J. A. Scott Kelso
J. A. Scott Kelso Florida Atlantic University
Tobi Delbruck
Tobi Delbruck ETH Zurich

External Links

Personal website of TM McGinnity Google Scholar page

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Best Scientists Citing TM McGinnity

Sung-Kwun Oh

Sung-Kwun Oh

University of Suwon

Publications: 45

Witold Pedrycz

Witold Pedrycz

University of Alberta

Publications: 43

Liam Maguire

Liam Maguire

University of Ulster

Publications: 38

Damien Coyle

Damien Coyle

University of Ulster

Publications: 37

Girijesh Prasad

Girijesh Prasad

University of Ulster

Publications: 31

Amit Konar

Amit Konar

Jadavpur University

Publications: 26

Plamen Angelov

Plamen Angelov

Lancaster University

Publications: 23

Xiao-Jun Zeng

Xiao-Jun Zeng

University of Manchester

Publications: 23

Junfei Qiao

Junfei Qiao

Beijing University of Technology

Publications: 21

Krishnendu Chakrabarty

Krishnendu Chakrabarty

Arizona State University

Publications: 19

Nikola Kasabov

Nikola Kasabov

Auckland University of Technology

Publications: 18

Meng Joo Er

Meng Joo Er

Dalian Maritime University

Publications: 18

Edwin Lughofer

Edwin Lughofer

Johannes Kepler University of Linz

Publications: 17

Mufti Mahmud

Mufti Mahmud

Nottingham Trent University

Publications: 16

Steve Furber

Steve Furber

University of Manchester

Publications: 15

Chin-Teng Lin

Chin-Teng Lin

University of Technology Sydney

Publications: 14

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