John A. Biles

40 papers receiving 631 citations

Peers

John A. Biles
Comparison fields: 5 of 131
  • Signal Processing 296
  • Computer Vision and Pattern Recognition 351
  • Cognitive Neuroscience 146
  • Pharmaceutical Science 47
  • Filtration and Separation 15
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Martin Svensson Sweden
Eric C. Jensen United States
Zhisheng Huang Netherlands
James H. Jones United States
Tatsuya Yamazaki Japan
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Citations per year

Countries citing papers authored by John A. Biles

Since Specialization
Citations

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

Fields of papers citing papers by John A. Biles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Biles. 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 John A. Biles. The network helps show where John A. Biles may publish in the future.

Co-authors

The 21 scholars most cited alongside John A. Biles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John A. Biles Line = papers co-authored together John A. Biles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GenJam: A Genetic Algorithm for Generating Jazz Solos
1994255
2
Neural network fitness functions for a musical IGA
199667
3
Immigration and Integration in Canada in the Twenty-first Century
200865
4 197134
5 198531
6 196123
7
Interactive GenJam: Integrating Real-time Performance with a Genetic Algorithm
199820
8 200319
9 200318
10 196417
11 198316
12 196415
13 199514
14 197114
15 197013
16
International Perspectives: Integration and Inclusion
201212
17 196611
18 195111
19 200511
20 196111

About John A. Biles

John A. Biles is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Organic Chemistry, Sociology and Political Science and Materials Chemistry, having authored 44 papers that have together received 790 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (11 papers), Music and Audio Processing (8 papers), Evolutionary Algorithms and Applications (6 papers), Analytical Chemistry and Chromatography (4 papers), Crystallization and Solubility Studies (4 papers), Neuroscience and Music Perception (3 papers), Pharmaceutical Practices and Patient Outcomes (3 papers) and Canadian Identity and History (3 papers). The work is most often cited by research in Signal Processing (296 citations), Computer Vision and Pattern Recognition (351 citations), Cognitive Neuroscience (146 citations), Pharmaceutical Science (47 citations) and Filtration and Separation (15 citations). John A. Biles has collaborated with scholars based in United States and Canada. Frequent co-authors include James S. Frideres, Peter G. Anderson, Robert T. Koda, John K. Haleblian, Berton E. Ballard, Fotios M. Plakogiannis, Paul Bramadat, Paul Spoonley, Norman F. Witt and Charles F. Poe. Their work appears in journals such as Journal of Pharmaceutical Sciences, Microchimica Acta, American Journal of Pharmaceutical Education, National Identities and Canadian ethnic studies.

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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