Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A review of learning in biologically plausible spiking neural networks
2019268 citationsAboozar Taherkhani, Ammar Belatreche et al.Neural Networksprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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.
Bhattacharya, Basabdatta Sen, Damien Coyle, & Liam Maguire. (2010). A computational modelling approach to investigate alpha rhythm slowing associated with Alzheimer’s Disease. Ulster University Research Portal (Ulster University).8 indexed citations
13.
McCann, Michael, et al.. (2008). Causality Challenge: Benchmarking relevant signal components for effective monitoring and process control.. University of Salford Institutional Repository (University of Salford). 277–288.11 indexed citations
Callaghan, Michael, Jim Harkin, T.M. McGinnity, & Liam Maguire. (2007). Paradigms in Remote Experimentation. International Journal of Online and Biomedical Engineering (iJOE). 3(4).23 indexed citations
McGinnity, T.M., et al.. (2001). Fault Diagnosis of Electronic Circuit Boards Using Intelligent Techniques: A Review. IEEE Systems Man and Cybernetics Magazine. 31(3). 269–281.2 indexed citations
20.
McGinnity, T.M., et al.. (1999). Flexible learning in a cross-border environment. International journal of engineering education. 15(2). 137–141.2 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.