Chris Donahue

64 total papers · 3.2k total citations
13 papers, 171 citations indexed

About

Chris Donahue is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Chris Donahue has authored 13 papers receiving a total of 171 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Chris Donahue's work include Music and Audio Processing (9 papers), Music Technology and Sound Studies (5 papers) and Speech and Audio Processing (4 papers). Chris Donahue is often cited by papers focused on Music and Audio Processing (9 papers), Music Technology and Sound Studies (5 papers) and Speech and Audio Processing (4 papers). Chris Donahue collaborates with scholars based in United States, South Korea and United Kingdom. Chris Donahue's co-authors include Miller Puckette, Julian McAuley, Shuo Chen, Nicholas J. Bryan, Jesse Engel, Adam P. Roberts, Kumar Krishna Agrawal, Shinji Watanabe, Ishaan Gulrajani and Eric Maurer and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Gambling Studies and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Chris Donahue

11 papers receiving 164 citations

Author Peers

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

Author Last Decade Papers Cites
Chris Donahue 88 85 56 22 20 13 171
Jing Xiao 87 1.0× 59 0.7× 168 3.0× 10 0.5× 12 0.6× 28 266
Salisu Wada Yahaya 25 0.3× 88 1.0× 111 2.0× 20 0.9× 5 0.3× 14 217
Joseph O. Chapa 54 0.6× 102 1.2× 22 0.4× 30 1.4× 30 1.5× 17 229
Bob Lawlor 92 1.0× 34 0.4× 29 0.5× 16 0.7× 3 0.1× 17 163
Pietro Leo 63 0.7× 15 0.2× 70 1.3× 8 0.4× 6 0.3× 16 200
Sergios Petridis 45 0.5× 67 0.8× 66 1.2× 6 0.3× 2 0.1× 18 156
Christian Küblbeck 26 0.3× 153 1.8× 28 0.5× 33 1.5× 4 0.2× 9 226
Keyu Long 98 1.1× 135 1.6× 104 1.9× 6 0.3× 5 0.3× 18 254
Amy N. Yates 41 0.5× 164 1.9× 29 0.5× 120 5.5× 21 1.1× 13 289
Pushkar Shukla 22 0.3× 144 1.7× 56 1.0× 24 1.1× 2 0.1× 17 270

Countries citing papers authored by Chris Donahue

Since Specialization
Citations

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

Fields of papers citing papers by Chris Donahue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Donahue

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