T.M. McGinnity
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Neural Networks and Reservoir Computing
Papers in
-
- Neural dynamics and brain function 80
- EEG and Brain-Computer Interfaces 47
-
- Neural Networks and Applications 44
- Fuzzy Logic and Control Systems 21
- Co-authors
- Girijesh Prasad (54 shared papers)Liam Maguire (86 shared papers)Sonya Coleman (86 shared papers)Ammar Belatreche (34 shared papers)Damien Coyle (40 shared papers)Gang Leng (7 shared papers)Georgina Cosma (9 shared papers)Aboozar Taherkhani (8 shared papers)
- Journals
- Neurocomputing (13 papers)IEEE Transactions on Neural Networks and Learning Systems (10 papers)Robotics and Autonomous Systems (5 papers)IEEE Transactions on Knowledge and Data Engineering (4 papers)Neural Networks (4 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
T.M. McGinnity
294 papers receiving 5.3k citations
T.M. McGinnity's Hit Papers
Peers
Comparison fields: 5 of 181
- Cognitive Neuroscience 1.9k
- Artificial Intelligence 1.6k
- Human-Computer Interaction 247
- Management Science and Operations Research 519
- Cellular and Molecular Neuroscience 726
Countries citing papers authored by T.M. McGinnity
This map shows the geographic impact of T.M. McGinnity's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T.M. McGinnity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.M. McGinnity more than expected).
Fields of papers citing papers by T.M. McGinnity
This network shows the impact of papers produced by T.M. McGinnity. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T.M. McGinnity. The network helps show where T.M. McGinnity may publish in the future.
Co-authors
The 25 scholars most cited alongside T.M. McGinnity, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 308 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of learning in biologically plausible spiking neural networks Hit paper breakdown → | 2019 | 268 |
| 2 | 2008 | 239 | |
| 3 | Deep learning in mining biological data Hit paper breakdown → | 2021 | 197 |
| 4 | 2004 | 192 | |
| 5 | 2020 | 187 | |
| 6 | 2006 | 139 | |
| 7 | 2007 | 134 | |
| 8 | 2004 | 133 | |
| 9 | 2017 | 129 | |
| 10 | 2001 | 124 | |
| 11 | 2016 | 113 | |
| 12 | 2005 | 90 | |
| 13 | 2014 | 83 | |
| 14 | 2014 | 82 | |
| 15 | 2014 | 81 | |
| 16 | 2013 | 80 | |
| 17 | 2014 | 80 | |
| 18 | 2009 | 75 | |
| 19 | 2014 | 71 | |
| 20 | 2021 | 70 |
About T.M. McGinnity
T.M. McGinnity is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 308 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (80 papers), Advanced Memory and Neural Computing (59 papers), EEG and Brain-Computer Interfaces (47 papers), Neural Networks and Applications (44 papers), Neuroscience and Neural Engineering (36 papers), Fuzzy Logic and Control Systems (21 papers), Experimental Learning in Engineering (17 papers) and Stock Market Forecasting Methods (17 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Artificial Intelligence (1.6k citations), Human-Computer Interaction (247 citations), Management Science and Operations Research (519 citations) and Cellular and Molecular Neuroscience (726 citations). T.M. McGinnity has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Girijesh Prasad, Liam Maguire, Sonya Coleman, Ammar Belatreche, Damien Coyle, Gang Leng, Georgina Cosma, Aboozar Taherkhani, Laxmidhar Behera and Yuhua Li. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Robotics and Autonomous Systems, IEEE Transactions on Knowledge and Data Engineering and Neural Networks.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.