Gary M. Kuhn

17 papers and 462 indexed citations i.

About

Gary M. Kuhn is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gary M. Kuhn has authored 17 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gary M. Kuhn’s work include Neural Networks and Applications (7 papers), Speech and Audio Processing (5 papers) and Phonetics and Phonology Research (3 papers). Gary M. Kuhn is often cited by papers focused on Neural Networks and Applications (7 papers), Speech and Audio Processing (5 papers) and Phonetics and Phonology Research (3 papers). Gary M. Kuhn collaborates with scholars based in United States, Switzerland and Canada. Gary M. Kuhn's co-authors include Raymond L. Watrous, Ronald J. Williams, C. Lee Giles, Paolo Ienne, Thomas Petsche, Christian J. Darken, Stephen José Hanson, N.I. Santoso, P. Mermelstein and Ellen Shaw de Paredes and has published in prestigious journals such as The Journal of the Acoustical Society of America, Medical Physics and Neural Computation.

In The Last Decade

Co-authorship network of co-authors of Gary M. Kuhn i

Fields of papers citing papers by Gary M. Kuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gary M. Kuhn

Since Specialization
Citations

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

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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