C. Ronald Kube

21 total papers · 1.5k total citations
13 papers, 897 citations indexed

About

C. Ronald Kube is a scholar working on Computer Networks and Communications, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, C. Ronald Kube has authored 13 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 7 papers in Mechanical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in C. Ronald Kube's work include Distributed Control Multi-Agent Systems (7 papers), Modular Robots and Swarm Intelligence (7 papers) and Optimization and Search Problems (2 papers). C. Ronald Kube is often cited by papers focused on Distributed Control Multi-Agent Systems (7 papers), Modular Robots and Swarm Intelligence (7 papers) and Optimization and Search Problems (2 papers). C. Ronald Kube collaborates with scholars based in Canada, United States and China. C. Ronald Kube's co-authors include Eric Bonabeau, Hong Zhang, Hong Zhang, Hong Zhang, Huijuan Zhang, Chris A. C. Parker, Hong Zhang, Ricardo J. Ferrari, Hong Zhang and Hong Zhang and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Robotics and Autonomous Systems.

In The Last Decade

C. Ronald Kube

13 papers receiving 807 citations

Author Peers

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

Author Last Decade Papers Cites
C. Ronald Kube 434 372 331 187 144 13 897
Arne Brutschy 438 1.0× 475 1.3× 173 0.5× 245 1.3× 69 0.5× 21 848
Rehan O’Grady 411 0.9× 400 1.1× 135 0.4× 179 1.0× 102 0.7× 26 769
David W. Payton 297 0.7× 283 0.8× 460 1.4× 266 1.4× 158 1.1× 24 920
Y. Uny Cao 458 1.1× 623 1.7× 444 1.3× 196 1.0× 208 1.4× 3 1.0k
Serge Kernbach 400 0.9× 283 0.8× 85 0.3× 135 0.7× 52 0.4× 38 733
Adam Klaptocz 252 0.6× 213 0.6× 244 0.7× 108 0.6× 177 1.2× 12 727
Mike Daily 171 0.4× 189 0.5× 286 0.9× 101 0.5× 70 0.5× 35 798
Diana F. Spears 219 0.5× 375 1.0× 163 0.5× 160 0.9× 69 0.5× 26 717
Danesh Tarapore 188 0.4× 97 0.3× 81 0.2× 320 1.7× 165 1.1× 31 808
James McLurkin 380 0.9× 430 1.2× 177 0.5× 72 0.4× 142 1.0× 30 750

Countries citing papers authored by C. Ronald Kube

Since Specialization
Citations

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

Fields of papers citing papers by C. Ronald Kube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Ronald Kube. 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 C. Ronald Kube. The network helps show where C. Ronald Kube may publish in the future.

Co-authorship network of co-authors of C. Ronald Kube

This figure shows the co-authorship network connecting the top 25 collaborators of C. Ronald Kube. A scholar is included among the top collaborators of C. Ronald Kube 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 C. Ronald Kube. C. Ronald Kube 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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