Liam McDaid
Impact in
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neural Engineering 59
- Neuroscience and Neuropharmacology Research 14
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- Neural dynamics and brain function 63
- Co-authors
- Jim Harkin (68 shared papers)John Joseph Wade (22 shared papers)Junxiu Liu (34 shared papers)Liam Maguire (24 shared papers)H. Sayers (7 shared papers)Fearghal Morgan (18 shared papers)Seamus Cawley (12 shared papers)Brian McGinley (11 shared papers)
- Journals
- Neurocomputing (7 papers)IEEE Transactions on Neural Networks and Learning Systems (5 papers)Electronics Letters (5 papers)Frontiers in Cellular Neuroscience (3 papers)Neural Networks (3 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Liam McDaid
129 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 115
- Cellular and Molecular Neuroscience 856
- Cognitive Neuroscience 765
- Electrical and Electronic Engineering 1.4k
- Neurology 110
- Artificial Intelligence 338
Countries citing papers authored by Liam McDaid
This map shows the geographic impact of Liam McDaid'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 Liam McDaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam McDaid more than expected).
Fields of papers citing papers by Liam McDaid
This network shows the impact of papers produced by Liam McDaid. 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 Liam McDaid. The network helps show where Liam McDaid may publish in the future.
Co-authors
The 25 scholars most cited alongside Liam McDaid, 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 155 | |
| 2 | 2011 | 112 | |
| 3 | 2012 | 104 | |
| 4 | 1989 | 95 | |
| 5 | 2017 | 59 | |
| 6 | 2012 | 56 | |
| 7 | 2018 | 55 | |
| 8 | 2012 | 45 | |
| 9 | 2018 | 45 | |
| 10 | 2017 | 44 | |
| 11 | 2009 | 44 | |
| 12 | 2015 | 41 | |
| 13 | 2010 | 40 | |
| 14 | 2016 | 40 | |
| 15 | 2011 | 39 | |
| 16 | 2020 | 33 | |
| 17 | 2012 | 31 | |
| 18 | 2018 | 31 | |
| 19 | 2010 | 29 | |
| 20 | 2012 | 27 |
About Liam McDaid
Liam McDaid is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 137 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (89 papers), Neural dynamics and brain function (63 papers), Neuroscience and Neural Engineering (59 papers), Advancements in Semiconductor Devices and Circuit Design (15 papers), Semiconductor materials and devices (14 papers), Neuroscience and Neuropharmacology Research (14 papers), Neural Networks and Applications (13 papers) and CCD and CMOS Imaging Sensors (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (856 citations), Cognitive Neuroscience (765 citations), Electrical and Electronic Engineering (1.4k citations), Neurology (110 citations) and Artificial Intelligence (338 citations). Liam McDaid has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Jim Harkin, John Joseph Wade, Junxiu Liu, Liam Maguire, H. Sayers, Fearghal Morgan, Seamus Cawley, Brian McGinley, Sandeep Dwarkanath Pande and José Santos. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Electronics Letters, Frontiers in Cellular Neuroscience 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.