James McDermott

2.5k total citations
51 papers, 984 citations indexed

About

James McDermott is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, James McDermott has authored 51 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in James McDermott's work include Evolutionary Algorithms and Applications (27 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Music Technology and Sound Studies (10 papers). James McDermott is often cited by papers focused on Evolutionary Algorithms and Applications (27 papers), Metaheuristic Optimization Algorithms Research (15 papers) and Music Technology and Sound Studies (10 papers). James McDermott collaborates with scholars based in Ireland, United States and Portugal. James McDermott's co-authors include Michael O’Neill, Miguel Nicolau, Van Loi Cao, Una-May O’Reilly, Mauro Castelli, Erik Hemberg, Luca Manzoni, David R. White, Wojciech Jaśkowski and Anthony Brabazon and has published in prestigious journals such as Pattern Recognition, Information Sciences and Sustainability.

In The Last Decade

James McDermott

47 papers receiving 937 citations

Peers

James McDermott
Comparison fields: 5 of 111
  • Artificial Intelligence 721
  • Molecular Biology 188
  • Computational Theory and Mathematics 133
  • Computer Networks and Communications 103
  • Signal Processing 82
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Citations per field, relative to James McDermott
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Citations per year, relative to James McDermott
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Countries citing papers authored by James McDermott

Since Specialization
Citations

This map shows the geographic impact of James McDermott'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 James McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James McDermott more than expected).

Fields of papers citing papers by James McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James McDermott. 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 James McDermott. The network helps show where James McDermott may publish in the future.

Co-authorship network of co-authors of James McDermott

This figure shows the co-authorship network connecting the top 25 collaborators of James McDermott. A scholar is included among the top collaborators of James McDermott 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 James McDermott. James McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 15
4 5
5 126
6 6
7 3
8 1
9 3
10 6
11
Better GP benchmarks: community survey results and proposals
6
12 10
13 4
14 5
15 7
16
GEVA - Grammatical Evolution in Java (v1.0)
4
17 44
18
Timbral, Perceptual, And Statistical Attributes for Synthesized Sound
0
19 1
20 1

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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