Brendan Glackin
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- T.M. McGinnityLiam MaguireAmmar BelatrecheJim HarkinArfan GhaniQingxiang WuQing WuFearghal Morgan
- Topics
- Advanced Memory and Neural Computing (8 papers)Neuroscience and Neural Engineering (6 papers)Neural dynamics and brain function (6 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Brendan Glackin
11 papers receiving 260 citations
Peers
Comparison fields: 5 of 40
- Electrical and Electronic Engineering 228
- Cognitive Neuroscience 175
- Cellular and Molecular Neuroscience 111
- Artificial Intelligence 84
- Biomedical Engineering 9
Countries citing papers authored by Brendan Glackin
This map shows the geographic impact of Brendan Glackin'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 Brendan Glackin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brendan Glackin more than expected).
Fields of papers citing papers by Brendan Glackin
This network shows the impact of papers produced by Brendan Glackin. 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 Brendan Glackin. The network helps show where Brendan Glackin may publish in the future.
Co-authorship network of co-authors of Brendan Glackin
This figure shows the co-authorship network connecting the top 25 collaborators of Brendan Glackin. A scholar is included among the top collaborators of Brendan Glackin 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 Brendan Glackin. Brendan Glackin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Exploring the Evolution of NoC-Based Spiking Neural Networks on FPGAs | 6 |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 12 | |
| 6 | 17 | |
| 7 | Edge Detection Based on Spiking Neural Network Model | 15 |
| 8 | 134 | |
| 9 | 5 | |
| 10 | 44 | |
| 11 | 5 |
About Brendan Glackin
Brendan Glackin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 11 papers that have together received 263 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in Cognitive Neuroscience (175 citations), Cellular and Molecular Neuroscience (111 citations) and Electrical and Electronic Engineering (228 citations). Brendan Glackin has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include T.M. McGinnity, Liam Maguire, Ammar Belatreche, Jim Harkin, Arfan Ghani, Qingxiang Wu, Qing Wu, Fearghal Morgan, Seamus Cawley and Sandeep Dwarkanath Pande. Their work appears in journals such as Information Sciences, Neurocomputing 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.