Michael J. Lyons

161 total papers · 6.2k total citations
61 papers, 3.7k citations indexed

About

Michael J. Lyons is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Michael J. Lyons has authored 61 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 25 papers in Cognitive Neuroscience and 16 papers in Signal Processing. Recurrent topics in Michael J. Lyons's work include Music Technology and Sound Studies (14 papers), Music and Audio Processing (12 papers) and Neuroscience and Music Perception (11 papers). Michael J. Lyons is often cited by papers focused on Music Technology and Sound Studies (14 papers), Music and Audio Processing (12 papers) and Neuroscience and Music Perception (11 papers). Michael J. Lyons collaborates with scholars based in Japan, Canada and United States. Michael J. Lyons's co-authors include Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba, Mike Schuster, André Plante, Nobuji Tetsutani, Lionel G. Harrison, Carrie A. Joyce, Matthew N. Dailey and Gu-Yeon Wei and has published in prestigious journals such as Nature, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biochemistry.

In The Last Decade

Michael J. Lyons

52 papers receiving 3.4k citations

Hit Papers

Coding facial expressions... 1999 2026 2008 2017 2002 1999 2002 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Michael J. Lyons 2.8k 1.5k 561 535 531 61 3.7k
Peter W. McOwan 2.3k 0.8× 1.8k 1.2× 527 0.9× 366 0.7× 665 1.3× 92 3.9k
Irene Kotsia 2.5k 0.9× 1.4k 0.9× 565 1.0× 830 1.6× 296 0.6× 43 3.4k
Xiaobai Li 2.4k 0.9× 1.6k 1.0× 662 1.2× 1.1k 2.1× 604 1.1× 87 5.0k
Shigeru Akamatsu 3.5k 1.2× 2.9k 1.9× 610 1.1× 518 1.0× 1.2k 2.3× 137 6.6k
Patrick Lucey 3.3k 1.2× 2.6k 1.7× 619 1.1× 618 1.2× 573 1.1× 71 4.7k
Abhinav Dhall 2.3k 0.8× 2.3k 1.5× 589 1.0× 379 0.7× 492 0.9× 100 3.5k
Miyuki Kamachi 1.5k 0.5× 1.3k 0.8× 354 0.6× 251 0.5× 685 1.3× 32 2.6k
Caifeng Shan 4.6k 1.7× 1.6k 1.0× 988 1.8× 548 1.0× 248 0.5× 157 5.9k
Jiro Gyoba 1.5k 0.5× 1.5k 1.0× 342 0.6× 225 0.4× 1.1k 2.2× 122 3.1k
Xiaolan Fu 2.2k 0.8× 2.1k 1.4× 791 1.4× 408 0.8× 1.3k 2.4× 190 4.8k

Countries citing papers authored by Michael J. Lyons

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Lyons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Lyons

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