Kenneth C. Cox

48 total papers · 960 total citations
35 papers, 598 citations indexed

About

Kenneth C. Cox is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kenneth C. Cox has authored 35 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Networks and Communications and 8 papers in Information Systems. Recurrent topics in Kenneth C. Cox's work include Data Visualization and Analytics (9 papers), Distributed systems and fault tolerance (8 papers) and Parallel Computing and Optimization Techniques (7 papers). Kenneth C. Cox is often cited by papers focused on Data Visualization and Analytics (9 papers), Distributed systems and fault tolerance (8 papers) and Parallel Computing and Optimization Techniques (7 papers). Kenneth C. Cox collaborates with scholars based in United States, Canada and Germany. Kenneth C. Cox's co-authors include G.-C. Roman, Stephen G. Eick, Gruia-Catalin Roman, Tingshu He, Graham Wills, Ronald J. Brachman, Glenn Bruns, David L. Atkins, T. Ball and Rebecca E. Grinter and has published in prestigious journals such as IEEE Transactions on Software Engineering, Computer and ACM SIGMOD Record.

In The Last Decade

Kenneth C. Cox

24 papers receiving 495 citations

Author Peers

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

Author						Papers	Cites
Kenneth C. Cox	242	223	217	149	84	35	598
Víctor Muntés-Mulero	77 0.3×	195 0.9×	321 1.5×	368 2.5×	26 0.3×	40	644
Leland L. Beck	61 0.3×	174 0.8×	120 0.6×	186 1.2×	24 0.3×	27	641
Ye Xu	184 0.8×	226 1.0×	122 0.6×	285 1.9×	51 0.6×	40	634
Chao Liu	100 0.4×	124 0.6×	343 1.6×	101 0.7×	108 1.3×	18	554
Brad Vander Zanden	143 0.6×	212 1.0×	136 0.6×	147 1.0×	106 1.3×	19	632
Yi Fang	97 0.4×	393 1.8×	278 1.3×	48 0.3×	21 0.3×	53	647
Francisco Gortázar	126 0.5×	101 0.5×	95 0.4×	166 1.1×	74 0.9×	41	529
Tian Tian	80 0.3×	350 1.6×	116 0.5×	61 0.4×	147 1.8×	28	595
Venkatesan T. Chakaravarthy	91 0.4×	320 1.4×	163 0.8×	198 1.3×	27 0.3×	43	562
Stephen M. Matyas	238 1.0×	387 1.7×	249 1.1×	234 1.6×	42 0.5×	35	630

Countries citing papers authored by Kenneth C. Cox

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth C. Cox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth C. Cox

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