Matt Shannon

31 total papers · 710 total citations
13 papers, 372 citations indexed

About

Matt Shannon is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Matt Shannon has authored 13 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Matt Shannon's work include Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (8 papers). Matt Shannon is often cited by papers focused on Speech Recognition and Synthesis (12 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (8 papers). Matt Shannon collaborates with scholars based in United Kingdom, Japan and Switzerland. Matt Shannon's co-authors include Bill Byrne, Haşim Sak, Heiga Zen, Kanishka Rao, Françoise Beaufays, Simon King, Shuo-Yiin Chang, Carolina Parada, Gabor Simko and Bo Li and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Edinburgh Research Explorer (University of Edinburgh) and Apollo (University of Cambridge).

In The Last Decade

Matt Shannon

13 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Matt Shannon 317 250 26 16 15 13 372
Sankaran Panchapagesan 320 1.0× 262 1.0× 38 1.5× 27 1.7× 8 0.5× 17 382
Mengxiao Bi 273 0.9× 254 1.0× 62 2.4× 13 0.8× 13 0.9× 13 394
Chenda Li 309 1.0× 291 1.2× 24 0.9× 16 1.0× 33 2.2× 24 383
Andrew Morris 294 0.9× 261 1.0× 52 2.0× 21 1.3× 16 1.1× 26 391
K.K. Paliwal 209 0.7× 193 0.8× 46 1.8× 23 1.4× 31 2.1× 22 338
Sining Sun 354 1.1× 275 1.1× 35 1.3× 11 0.7× 21 1.4× 21 420
E.S. Parris 230 0.7× 297 1.2× 92 3.5× 12 0.8× 10 0.7× 10 345
Aruna Bayya 262 0.8× 286 1.1× 48 1.8× 34 2.1× 29 1.9× 11 336
Jay Mahadeokar 318 1.0× 197 0.8× 23 0.9× 11 0.7× 5 0.3× 28 365
Kari Laurila 281 0.9× 281 1.1× 50 1.9× 18 1.1× 12 0.8× 18 366

Countries citing papers authored by Matt Shannon

Since Specialization
Citations

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

Fields of papers citing papers by Matt Shannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matt Shannon. 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 Matt Shannon. The network helps show where Matt Shannon may publish in the future.

Co-authorship network of co-authors of Matt Shannon

This figure shows the co-authorship network connecting the top 25 collaborators of Matt Shannon. A scholar is included among the top collaborators of Matt Shannon 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 Matt Shannon. Matt Shannon 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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