Liam Maguire
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 1%
- Artificial Intelligence top 1%
- Cellular and Molecular Neuroscience top 5%
- Control and Systems Engineering top 5%
- Co-authors
- T.M. McGinnityAmmar BelatrecheYuhua LiJim HarkinDamien CoyleAboozar TaherkhaniPaul HumphreysRonan McIvor
- Topics
- Neural dynamics and brain function (63 papers)Advanced Memory and Neural Computing (44 papers)Neuroscience and Neural Engineering (20 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Liam Maguire
170 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Electrical and Electronic Engineering 1.3k
- Cognitive Neuroscience 1.3k
- Artificial Intelligence 1.0k
- Cellular and Molecular Neuroscience 575
- Control and Systems Engineering 329
Countries citing papers authored by Liam Maguire
This map shows the geographic impact of Liam Maguire'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 Maguire with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liam Maguire more than expected).
Fields of papers citing papers by Liam Maguire
This network shows the impact of papers produced by Liam Maguire. 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 Maguire. The network helps show where Liam Maguire may publish in the future.
Co-authorship network of co-authors of Liam Maguire
This figure shows the co-authorship network connecting the top 25 collaborators of Liam Maguire. A scholar is included among the top collaborators of Liam Maguire based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liam Maguire. Liam Maguire is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 66 | |
| 4 | A review of learning in biologically plausible spiking neural networksbreakdown → | 268 |
| 5 | 38 | |
| 6 | 32 | |
| 7 | 32 | |
| 8 | A new biologically plausible supervised learning method for spiking neurons | 9 |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 25 | |
| 12 | A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease | 8 |
| 13 | Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control. | 11 |
| 14 | 6 | |
| 15 | 23 | |
| 16 | Edge Detection Based on Spiking Neural Network Model | 15 |
| 17 | Client-Server Architecture for Remote Experimentation for Embedded Systems | 21 |
| 18 | 7 | |
| 19 | Fault Diagnosis of Electronic Circuit Boards Using Intelligent Techniques: A Review | 2 |
| 20 | Flexible learning in a cross-border environment | 2 |
About Liam Maguire
Liam Maguire is a scholar working on Architecture, Cognitive Neuroscience and Hardware and Architecture, having authored 174 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neural dynamics and brain function (63 papers), Advanced Memory and Neural Computing (44 papers) and Neuroscience and Neural Engineering (20 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Artificial Intelligence (1.0k citations) and Cellular and Molecular Neuroscience (575 citations). Liam Maguire has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include T.M. McGinnity, Ammar Belatreche, Yuhua Li, Jim Harkin, Damien Coyle, Aboozar Taherkhani, Paul Humphreys, Ronan McIvor, Basabdatta Sen Bhattacharya and Junxiu Liu. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.
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.