Kevin M. Short

1.0k total citations
26 papers, 797 citations indexed

About

Kevin M. Short is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Kevin M. Short has authored 26 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Kevin M. Short's work include Chaos control and synchronization (14 papers), Quantum chaos and dynamical systems (6 papers) and Neural dynamics and brain function (4 papers). Kevin M. Short is often cited by papers focused on Chaos control and synchronization (14 papers), Quantum chaos and dynamical systems (6 papers) and Neural dynamics and brain function (4 papers). Kevin M. Short collaborates with scholars based in United States and United Kingdom. Kevin M. Short's co-authors include Kelly Black, J Geddes, Ricardo Alexandrino Garcia, Kourosh Zarringhalam, D.J. Nelson, J.J. Curley and Xiang Li and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Computational Physics.

In The Last Decade

Kevin M. Short

22 papers receiving 752 citations

Peers

Kevin M. Short
Comparison fields: 5 of 44
  • Statistical and Nonlinear Physics 695
  • Computer Vision and Pattern Recognition 456
  • Computer Networks and Communications 340
  • Computational Theory and Mathematics 131
  • Molecular Biology 116
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Citations per field, relative to Kevin M. Short
Kevin M. Short · 1×
Citations per year, relative to Kevin M. Short
Kevin M. Short · 1×

Countries citing papers authored by Kevin M. Short

Since Specialization
Citations

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

Fields of papers citing papers by Kevin M. Short

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin M. Short

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Short. A scholar is included among the top collaborators of Kevin M. Short 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 M. Short. Kevin M. Short is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 11
6 3
7 7
8 6
9 6
10
Multichannel Audio Processing Using a Unified-Domain Representation
1
11 7
12
Signal Analysis Using the Complex Spectral Phase Evolution (CSPE) Method
5
13
Accurate Low-Frequency Magnitude and Phase Estimation in the Presence of DC and Near-DC Aliasing
0
14
Scalability in KOZ Audio Compression Technology
6
15
An Introduction to the KOZ Scalable Audio Compression Technology
5
16 3
17 7
18 173
19 272
20 5

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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