Nicholas J. Bryan

75 total papers · 859 total citations
32 papers, 476 citations indexed

About

Nicholas J. Bryan is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Nicholas J. Bryan has authored 32 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Signal Processing, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Cognitive Neuroscience. Recurrent topics in Nicholas J. Bryan's work include Music and Audio Processing (23 papers), Speech and Audio Processing (21 papers) and Music Technology and Sound Studies (10 papers). Nicholas J. Bryan is often cited by papers focused on Music and Audio Processing (23 papers), Speech and Audio Processing (21 papers) and Music Technology and Sound Studies (10 papers). Nicholas J. Bryan collaborates with scholars based in United States, Israel and South Korea. Nicholas J. Bryan's co-authors include Gautham J. Mysore, Justin Salamon, Ge Wang, Juan Pablo Bello, Paris Smaragdis, Yu Wang, Zeyu Jin, Ge Wang, Mark Cartwright and Robert Hamilton and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Visualization and Computer Graphics and IEEE Signal Processing Letters.

In The Last Decade

Nicholas J. Bryan

32 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Nicholas J. Bryan 356 229 108 97 54 32 476
Jean‐Claude Risset 293 0.8× 378 1.7× 29 0.3× 197 2.0× 24 0.4× 37 521
Alexandre R. J. François 82 0.2× 381 1.7× 76 0.7× 56 0.6× 40 0.7× 29 451
Frederic Font 342 1.0× 190 0.8× 124 1.1× 71 0.7× 16 0.3× 23 459
Luís Gustavo Martins 384 1.1× 319 1.4× 103 1.0× 121 1.2× 10 0.2× 17 519
Zeyu Jin 377 1.1× 133 0.6× 249 2.3× 74 0.8× 15 0.3× 40 480
Gaëtan Lorho 362 1.0× 168 0.7× 83 0.8× 140 1.4× 34 0.6× 23 515
Yun Tie 100 0.3× 304 1.3× 79 0.7× 57 0.6× 25 0.5× 62 448
Kehuang Li 305 0.9× 163 0.7× 237 2.2× 76 0.8× 48 0.9× 26 502
Ruohan Gao 226 0.6× 316 1.4× 129 1.2× 74 0.8× 24 0.4× 22 532
Lorenzo J. Tardón 315 0.9× 270 1.2× 47 0.4× 82 0.8× 9 0.2× 67 446

Countries citing papers authored by Nicholas J. Bryan

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Bryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas J. Bryan

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