Melvyn J. Hunt

49 total papers · 1.1k total citations
39 papers, 618 citations indexed

About

Melvyn J. Hunt is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Melvyn J. Hunt has authored 39 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Signal Processing and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Melvyn J. Hunt's work include Speech Recognition and Synthesis (28 papers), Speech and Audio Processing (24 papers) and Music and Audio Processing (9 papers). Melvyn J. Hunt is often cited by papers focused on Speech Recognition and Synthesis (28 papers), Speech and Audio Processing (24 papers) and Music and Audio Processing (9 papers). Melvyn J. Hunt collaborates with scholars based in Canada, United States and United Kingdom. Melvyn J. Hunt's co-authors include Corentin Lefebvre, Terence W. Picton, Michael Scherg, Andrew Wiens, M. Lennig, P. Mermelstein, S. M. Richardson, Antoine Piau, John S. Bridle and Barbara Peskin and has published in prestigious journals such as The Journal of the Acoustical Society of America, Pattern Recognition Letters and Ear and Hearing.

In The Last Decade

Melvyn J. Hunt

36 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Melvyn J. Hunt 382 358 148 132 83 39 618
Hideki Banno 319 0.8× 403 1.1× 126 0.9× 161 1.2× 77 0.9× 37 575
João Felipe Santos 278 0.7× 427 1.2× 249 1.7× 101 0.8× 98 1.2× 29 673
Christian Benoı̂t 251 0.7× 318 0.9× 142 1.0× 289 2.2× 158 1.9× 35 648
Kalle Palomäki 212 0.6× 368 1.0× 295 2.0× 134 1.0× 62 0.7× 55 636
A. W. F. Huggins 164 0.4× 215 0.6× 207 1.4× 214 1.6× 99 1.2× 33 584
Vinay Kumar Mittal 280 0.7× 328 0.9× 110 0.7× 167 1.3× 77 0.9× 84 698
Ron Cole 280 0.7× 165 0.5× 185 1.3× 66 0.5× 54 0.7× 30 636
W.A. Ainsworth 284 0.7× 263 0.7× 161 1.1× 274 2.1× 52 0.6× 49 573
Leonardo Badino 217 0.6× 195 0.5× 297 2.0× 126 1.0× 88 1.1× 40 612
Eric H. C. Choi 241 0.6× 144 0.4× 181 1.2× 208 1.6× 60 0.7× 37 649

Countries citing papers authored by Melvyn J. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by Melvyn J. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melvyn J. Hunt. 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 Melvyn J. Hunt. The network helps show where Melvyn J. Hunt may publish in the future.

Co-authorship network of co-authors of Melvyn J. Hunt

This figure shows the co-authorship network connecting the top 25 collaborators of Melvyn J. Hunt. A scholar is included among the top collaborators of Melvyn J. Hunt 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 Melvyn J. Hunt. Melvyn J. Hunt 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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