Gary S. Kendall

72 total papers · 561 total citations
38 papers, 347 citations indexed

About

Gary S. Kendall is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Gary S. Kendall has authored 38 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 15 papers in Cognitive Neuroscience. Recurrent topics in Gary S. Kendall's work include Music Technology and Sound Studies (22 papers), Music and Audio Processing (12 papers) and Neuroscience and Music Perception (9 papers). Gary S. Kendall is often cited by papers focused on Music Technology and Sound Studies (22 papers), Music and Audio Processing (12 papers) and Neuroscience and Music Perception (9 papers). Gary S. Kendall collaborates with scholars based in United Kingdom, United States and Chile. Gary S. Kendall's co-authors include William L. Martens, Catherine Rodgers, Matthias Geier, Nils Peters, David Cotton, Simon Emmerson, Luı́s Felipe Toledo, Daniel J. Freed, Barry Truax and Richard Ashley and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of the Audio Engineering Society and Computer Music Journal.

In The Last Decade

Gary S. Kendall

34 papers receiving 257 citations

Author Peers

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

Author Last Decade Papers Cites
Gary S. Kendall 203 187 164 58 42 38 347
Jan Berg 171 0.8× 135 0.7× 72 0.4× 62 1.1× 72 1.7× 46 402
Hanna Järveläinen 179 0.9× 177 0.9× 149 0.9× 52 0.9× 18 0.4× 29 314
John Strawn 112 0.6× 156 0.8× 178 1.1× 26 0.4× 9 0.2× 29 320
Kai Siedenburg 229 1.1× 179 1.0× 99 0.6× 79 1.4× 53 1.3× 43 378
Antti Kuusinen 248 1.2× 138 0.7× 54 0.3× 63 1.1× 113 2.7× 23 330
Kristoffer Jensen 152 0.7× 150 0.8× 155 0.9× 35 0.6× 14 0.3× 33 337
Andreas Floros 133 0.7× 122 0.7× 134 0.8× 38 0.7× 7 0.2× 73 374
Carl Schissler 138 0.7× 245 1.3× 155 0.9× 15 0.3× 35 0.8× 23 376
Frank Melchior 211 1.0× 209 1.1× 103 0.6× 23 0.4× 32 0.8× 45 323
Ewa Skrodzka 169 0.8× 67 0.4× 73 0.4× 33 0.6× 85 2.0× 52 311

Countries citing papers authored by Gary S. Kendall

Since Specialization
Citations

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

Fields of papers citing papers by Gary S. Kendall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary S. Kendall. 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 Gary S. Kendall. The network helps show where Gary S. Kendall may publish in the future.

Co-authorship network of co-authors of Gary S. Kendall

This figure shows the co-authorship network connecting the top 25 collaborators of Gary S. Kendall. A scholar is included among the top collaborators of Gary S. Kendall 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 Gary S. Kendall. Gary S. Kendall 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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