Kevin Farrell

38 total papers · 608 total citations
26 papers, 390 citations indexed

About

Kevin Farrell is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Kevin Farrell has authored 26 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 18 papers in Signal Processing and 4 papers in Computational Mechanics. Recurrent topics in Kevin Farrell's work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (10 papers). Kevin Farrell is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (10 papers). Kevin Farrell collaborates with scholars based in United States and Ireland. Kevin Farrell's co-authors include Richard J. Mammone, Khaled Assaleh, Ravi P. Ramachandran, James L. Flanagan, L. O’C. Drury, Stephen Kosonocky, Manish Sharma, R. Ramachandran and Allen L. Gorin and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Speech and Audio Processing and Applied Numerical Mathematics.

In The Last Decade

Kevin Farrell

23 papers receiving 327 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin Farrell 313 309 55 22 21 26 390
K.K. Paliwal 209 0.7× 193 0.6× 46 0.8× 18 0.8× 31 1.5× 22 338
Shansong Liu 331 1.1× 254 0.8× 28 0.5× 11 0.5× 10 0.5× 31 431
Xing Fan 322 1.0× 178 0.6× 75 1.4× 29 1.3× 7 0.3× 34 398
José L. Pérez-Córdoba 234 0.7× 264 0.9× 115 2.1× 21 1.0× 17 0.8× 32 401
Chenfei Wu 278 0.9× 112 0.4× 196 3.6× 5 0.2× 10 0.5× 23 389
Jingjing Cai 148 0.5× 132 0.4× 15 0.3× 72 3.3× 22 1.0× 38 374
Simon Wiesler 305 1.0× 162 0.5× 87 1.6× 9 0.4× 10 0.5× 31 362
Yaoyao Zhong 141 0.5× 141 0.5× 335 6.1× 6 0.3× 8 0.4× 21 446
Vitaly Lavrukhin 307 1.0× 211 0.7× 44 0.8× 13 0.6× 4 0.2× 20 367
Franco Mana 382 1.2× 299 1.0× 41 0.7× 9 0.4× 13 0.6× 42 433

Countries citing papers authored by Kevin Farrell

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Farrell

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