Brendan Glackin

489 total citations
11 papers, 263 citations indexed

About

Brendan Glackin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Brendan Glackin has authored 11 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cognitive Neuroscience. Recurrent topics in Brendan Glackin's work include Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (6 papers). Brendan Glackin is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (6 papers). Brendan Glackin collaborates with scholars based in United Kingdom, United States and Ireland. Brendan Glackin's co-authors include T.M. McGinnity, Liam Maguire, Ammar Belatreche, Jim Harkin, Arfan Ghani, Qingxiang Wu, Fearghal Morgan, Sandeep Dwarkanath Pande, Qing Wu and Seamus Cawley and has published in prestigious journals such as Information Sciences, Neurocomputing and Neural Networks.

In The Last Decade

Brendan Glackin

11 papers receiving 260 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Brendan Glackin 228 175 111 84 9 11 263
Georgios Detorakis 302 1.3× 220 1.3× 114 1.0× 144 1.7× 12 1.3× 13 390
Stanisław Woźniak 265 1.2× 102 0.6× 95 0.9× 120 1.4× 11 1.2× 20 334
Shih-Chii Liu 293 1.3× 166 0.9× 160 1.4× 54 0.6× 22 2.4× 7 322
Gregor Lenz 274 1.2× 134 0.8× 73 0.7× 126 1.5× 15 1.7× 12 361
Christian Pehle 272 1.2× 131 0.7× 103 0.9× 126 1.5× 9 1.0× 7 301
Oliver Rhodes 205 0.9× 128 0.7× 78 0.7× 59 0.7× 12 1.3× 19 263
Alan B. Stokes 203 0.9× 128 0.7× 80 0.7× 60 0.7× 5 0.6× 10 243
Nuttapod Nuntalid 224 1.0× 193 1.1× 44 0.4× 120 1.4× 13 1.4× 2 296
Kshitij Dhoble 232 1.0× 200 1.1× 45 0.4× 126 1.5× 13 1.4× 4 306
Sergio Davies 295 1.3× 181 1.0× 146 1.3× 76 0.9× 7 0.8× 22 334

Countries citing papers authored by Brendan Glackin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

11 of 11 papers shown
1.
Morgan, Fearghal, Seamus Cawley, Sandeep Dwarkanath Pande, et al.. (2010). Exploring the Evolution of NoC-Based Spiking Neural Networks on FPGAs. 6 indexed citations
2.
McGinnity, T.M., et al.. (2010). PERFORMANCE COMPARISON OF A BIOLOGICALLY INSPIRED EDGE DETECTION ALGORITHM ON CPU, GPU AND FPGA. 420–424. 1 indexed citations
3.
Glackin, Brendan, Jim Harkin, T.M. McGinnity, Liam Maguire, & Qingxiang Wu. (2009). Emulating Spiking Neural Networks for edge detection on FPGA hardware. 670–673. 9 indexed citations
4.
Morgan, Fearghal, Seamus Cawley, Brian McGinley, et al.. (2009). Exploring the evolution of NoC-based Spiking Neural Networks on FPGAs. 300–303. 15 indexed citations
5.
Wu, Qingxiang, T.M. McGinnity, Liam Maguire, Ammar Belatreche, & Brendan Glackin. (2008). 2D co-ordinate transformation based on a spike timing-dependent plasticity learning mechanism. Neural Networks. 21(9). 1318–1327. 12 indexed citations
6.
Wu, Qingxiang, T.M. McGinnity, Liam Maguire, Ammar Belatreche, & Brendan Glackin. (2008). Processing visual stimuli using hierarchical spiking neural networks. Neurocomputing. 71(10-12). 2055–2068. 17 indexed citations
7.
Wu, Qing, T.M. McGinnity, Liam Maguire, Ammar Belatreche, & Brendan Glackin. (2007). Edge Detection Based on Spiking Neural Network Model. 26–34. 15 indexed citations
8.
Maguire, Liam, T.M. McGinnity, Brendan Glackin, et al.. (2007). Challenges for large-scale implementations of spiking neural networks on FPGAs. Neurocomputing. 71(1-3). 13–29. 134 indexed citations
9.
Wu, Qingxiang, T.M. McGinnity, Liam Maguire, Ammar Belatreche, & Brendan Glackin. (2007). Simulation of Intelligent Computational Models in Biological Systems. Ulster University Research Portal (Ulster University). 32. 1974–1978. 5 indexed citations
10.
Wu, Qingxiang, T.M. McGinnity, Liam Maguire, Brendan Glackin, & Ammar Belatreche. (2006). Learning under weight constraints in networks of temporal encoding spiking neurons. Neurocomputing. 69(16-18). 1912–1922. 44 indexed citations
11.
Glackin, Brendan, Liam Maguire, & T.M. McGinnity. (2003). Intrinsic and extrinsic implementation of a bio-inspired hardware system. Information Sciences. 161(1-2). 1–19. 5 indexed citations

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.

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