Robert P. McEvoy

23 total papers · 733 total citations
14 papers, 422 citations indexed

About

Robert P. McEvoy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Robert P. McEvoy has authored 14 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Robert P. McEvoy's work include Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (4 papers). Robert P. McEvoy is often cited by papers focused on Cryptographic Implementations and Security (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Coding theory and cryptography (4 papers). Robert P. McEvoy collaborates with scholars based in Ireland, United States and United Kingdom. Robert P. McEvoy's co-authors include William P. Marnane, A. Joshua Wand, Jeffrey L. Urbauer, Colin C. Murphy, S. Faul, Martin Glavin, Brian McGinley, Edward Jones, Michael Tunstall and Zhihua Gan and has published in prestigious journals such as Biochemistry, IEEE Transactions on Magnetics and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Robert P. McEvoy

13 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Robert P. McEvoy 147 132 93 77 76 14 422
Irina Fedulova 85 0.6× 116 0.9× 68 0.7× 4 0.1× 47 0.6× 13 412
Yihan Sun 145 1.0× 75 0.6× 12 0.1× 35 0.5× 63 0.8× 31 434
Yongfeng Gu 101 0.7× 110 0.8× 11 0.1× 34 0.4× 23 0.3× 30 417
L. Vanhamme 83 0.6× 65 0.5× 57 0.6× 15 0.2× 83 1.1× 13 480
Blake G. Fitch 231 1.6× 23 0.2× 65 0.7× 79 1.0× 4 0.1× 22 434
Yimin Guo 26 0.2× 89 0.7× 16 0.2× 26 0.3× 20 0.3× 30 481
Tom VanCourt 92 0.6× 109 0.8× 9 0.1× 21 0.3× 30 0.4× 16 405
Bruce S. Duncan 277 1.9× 44 0.3× 34 0.4× 133 1.7× 22 0.3× 15 451
Július Parulek 185 1.3× 32 0.2× 31 0.3× 34 0.4× 264 3.5× 26 468
Concettina Guerra 257 1.7× 63 0.5× 7 0.1× 49 0.6× 95 1.3× 38 453

Countries citing papers authored by Robert P. McEvoy

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. McEvoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. McEvoy. 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 Robert P. McEvoy. The network helps show where Robert P. McEvoy may publish in the future.

Co-authorship network of co-authors of Robert P. McEvoy

This figure shows the co-authorship network connecting the top 25 collaborators of Robert P. McEvoy. A scholar is included among the top collaborators of Robert P. McEvoy 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 Robert P. McEvoy. Robert P. McEvoy 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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