William L. Kocay

56 total papers · 539 total citations
39 papers, 245 citations indexed

About

William L. Kocay is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, William L. Kocay has authored 39 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 17 papers in Electrical and Electronic Engineering and 8 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in William L. Kocay's work include Advanced Graph Theory Research (19 papers), graph theory and CDMA systems (17 papers) and Graph Labeling and Dimension Problems (9 papers). William L. Kocay is often cited by papers focused on Advanced Graph Theory Research (19 papers), graph theory and CDMA systems (17 papers) and Graph Labeling and Dimension Problems (9 papers). William L. Kocay collaborates with scholars based in Canada, United States and Iran. William L. Kocay's co-authors include Donald L. Kreher, Roger I. Hall, P. W. Aitchison, Andrei Gagarin, Chris Godsil, Erich Kaltofen, Stephen M. Watt, Douglas R. Stinson, Charles J. Colbourn and Ronald A. Aziz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematics of Computation and Molecular Physics.

In The Last Decade

William L. Kocay

32 papers receiving 224 citations

Author Peers

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

Author						Papers	Cites
William L. Kocay	105	70	57	44	40	39	245
Victor Bryant	102 1.0×	27 0.4×	33 0.6×	28 0.6×	83 2.1×	33	283
Stephen G. Hartke	154 1.5×	40 0.6×	22 0.4×	46 1.0×	45 1.1×	41	223
Luděk Kučera	175 1.7×	29 0.4×	103 1.8×	19 0.4×	29 0.7×	35	302
Naveen Sivadasan	131 1.2×	35 0.5×	36 0.6×	41 0.9×	24 0.6×	34	292
Rossella Petreschi	263 2.5×	106 1.5×	33 0.6×	31 0.7×	53 1.3×	40	331
Tamás Király	137 1.3×	50 0.7×	17 0.3×	15 0.3×	15 0.4×	35	191
Yushi Uno	189 1.8×	52 0.7×	38 0.7×	28 0.6×	13 0.3×	40	246
Jorma K. Merikoski	159 1.5×	75 1.1×	39 0.7×	23 0.5×	84 2.1×	62	320
Daniel Dadush	178 1.7×	24 0.3×	101 1.8×	21 0.5×	13 0.3×	39	312
Yann Vaxès	171 1.6×	33 0.5×	17 0.3×	14 0.3×	69 1.7×	36	271

Countries citing papers authored by William L. Kocay

Since Specialization

Citations

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

Fields of papers citing papers by William L. Kocay

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Kocay. 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 William L. Kocay. The network helps show where William L. Kocay may publish in the future.

Co-authorship network of co-authors of William L. Kocay

This figure shows the co-authorship network connecting the top 25 collaborators of William L. Kocay. A scholar is included among the top collaborators of William L. Kocay 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 William L. Kocay. William L. Kocay 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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