John R. McDonnell

103 total papers · 545 total citations
37 papers, 327 citations indexed

About

John R. McDonnell is a scholar working on Artificial Intelligence, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, John R. McDonnell has authored 37 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Control and Systems Engineering and 6 papers in Aerospace Engineering. Recurrent topics in John R. McDonnell's work include Evolutionary Algorithms and Applications (17 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Neural Networks and Applications (9 papers). John R. McDonnell is often cited by papers focused on Evolutionary Algorithms and Applications (17 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Neural Networks and Applications (9 papers). John R. McDonnell collaborates with scholars based in United States. John R. McDonnell's co-authors include Sushil J. Louis, Robert G. Reynolds, David B. Fogel, Christopher E. Miles, Nancy S. Cole, Peter J. Angeline, Russell C. Eberhart, F.G. Pin, D. Parkinson and Frederick L. Datz and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, IEEE Power Engineering Review and IEEE Transactions on Neural Networks.

In The Last Decade

John R. McDonnell

30 papers receiving 295 citations

Author Peers

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

Author						Papers	Cites
John R. McDonnell	257	71	52	30	27	37	327
Peter Sunehag	218 0.8×	59 0.8×	37 0.7×	11 0.4×	45 1.7×	26	332
Jan Mulawka	178 0.7×	107 1.5×	30 0.6×	19 0.6×	41 1.5×	41	365
Yifei Li	226 0.9×	38 0.5×	33 0.6×	18 0.6×	42 1.6×	23	344
Sandra Sandri	143 0.6×	48 0.7×	20 0.4×	18 0.6×	24 0.9×	47	290
Steffen Udluft	251 1.0×	42 0.6×	89 1.7×	8 0.3×	26 1.0×	33	356
Charles Gretton	261 1.0×	67 0.9×	40 0.8×	26 0.9×	79 2.9×	31	363
Claus Aranha	178 0.7×	92 1.3×	25 0.5×	40 1.3×	28 1.0×	38	342
Jiayi Li	175 0.7×	51 0.7×	23 0.4×	13 0.4×	33 1.2×	41	292
Wang Zheng-ou	233 0.9×	95 1.3×	38 0.7×	10 0.3×	53 2.0×	38	364
Leonidas Pitsoulis	100 0.4×	62 0.9×	44 0.8×	123 4.1×	22 0.8×	30	325

Countries citing papers authored by John R. McDonnell

Since Specialization

Citations

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

Fields of papers citing papers by John R. McDonnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. McDonnell. 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 John R. McDonnell. The network helps show where John R. McDonnell may publish in the future.

Co-authorship network of co-authors of John R. McDonnell

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

All Works

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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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