Don Hush
Impact in
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Machine Learning and Algorithms
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Neural Networks and Applications 13
- Machine Learning and Algorithms 6
- Machine Learning and Data Classification 4
- Anomaly Detection Techniques and Applications 4
- Fuzzy Logic and Control Systems 4
- Machine Learning and ELM 3
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- Face and Expression Recognition 7
- Advanced Image and Video Retrieval Techniques 4
- Co-authors
- Clint Scovel (14 shared papers)Ingo Steinwart (9 shared papers)Mary M. Moya (1 shared paper)Bill G. Horne (7 shared papers)Reid Porter (8 shared papers)James Theiler (4 shared papers)Andrew M. Fraser (1 shared paper)Patrick J. Kelly (2 shared papers)
- Journals
- Machine Learning (4 papers)Neural Networks (3 papers)Journal of Machine Learning Research (2 papers)IEEE Signal Processing Magazine (1 paper)Journal of Multivariate Analysis (1 paper)
- Partner nations
- United StatesFranceColombia
In The Last Decade
Don Hush
42 papers receiving 901 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 573
- Statistics and Probability 133
- Computer Vision and Pattern Recognition 237
- Signal Processing 78
- Computational Mathematics 4
Countries citing papers authored by Don Hush
This map shows the geographic impact of Don Hush'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 Don Hush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Don Hush more than expected).
Fields of papers citing papers by Don Hush
This network shows the impact of papers produced by Don Hush. 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 Don Hush. The network helps show where Don Hush may publish in the future.
Co-authors
The 23 scholars most cited alongside Don Hush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Classification Framework for Anomaly Detection | 2005 | 171 |
| 2 | 1996 | 122 | |
| 3 | Optimal Rates for Regularized Least Squares Regression. | 2009 | 106 |
| 4 | 2008 | 74 | |
| 5 | 2003 | 52 | |
| 6 | 2010 | 49 | |
| 7 | 1996 | 49 | |
| 8 | QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines | 2006 | 44 |
| 9 | Training SVMs without offset | 2009 | 35 |
| 10 | 2011 | 22 | |
| 11 | 2013 | 22 | |
| 12 | Predicting Student Enrollment Based on Student and College Characteristics. | 2018 | 21 |
| 13 | 2010 | 19 | |
| 14 | 2016 | 19 | |
| 15 | 2010 | 19 | |
| 16 | 2005 | 17 | |
| 17 | 1999 | 17 | |
| 18 | Density Level Detection is Classification | 2004 | 14 |
| 19 | 1994 | 14 | |
| 20 | 2019 | 10 |
About Don Hush
Don Hush is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Mathematical Physics and Control and Systems Engineering, having authored 44 papers that have together received 963 indexed citations. Recurring topics across this work include Neural Networks and Applications (13 papers), Face and Expression Recognition (7 papers), Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (4 papers), Anomaly Detection Techniques and Applications (4 papers), Fuzzy Logic and Control Systems (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Artificial Intelligence (573 citations), Statistics and Probability (133 citations), Computer Vision and Pattern Recognition (237 citations), Signal Processing (78 citations) and Computational Mathematics (4 citations). Don Hush has collaborated with scholars based in United States, France and Colombia. Frequent co-authors include Clint Scovel, Ingo Steinwart, Mary M. Moya, Bill G. Horne, Reid Porter, James Theiler, Andrew M. Fraser, Patrick J. Kelly, S.D. Stearns and Ahmad Slim. Their work appears in journals such as Machine Learning, Neural Networks, Journal of Machine Learning Research, IEEE Signal Processing Magazine and Journal of Multivariate Analysis.
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.