Eugene Tuv
Impact in
- Signal Processing top 1%
- Time Series Analysis and Forecasting
- Music and Audio Processing
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
Papers in
-
- Neural Networks and Applications 5
- Machine Learning and Data Classification 5
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- Fault Detection and Control Systems 5
- Co-authors
- George C. Runger (14 shared papers)Houtao Deng (2 shared papers)Mustafa Gökçe Baydoğan (1 shared paper)Alexander Borisov (6 shared papers)Kari Torkkola (2 shared papers)K. Torkkola (2 shared papers)Michael E. Berens (2 shared papers)Zheng Zhao (2 shared papers)
- Journals
- IEEE Intelligent Systems (3 papers)International Journal of Production Research (2 papers)IEEE Transactions on Semiconductor Manufacturing (1 paper)Applied Artificial Intelligence (1 paper)Information Sciences (1 paper)
- Partner nations
- United StatesMexicoSwitzerland
In The Last Decade
Eugene Tuv
20 papers receiving 1.2k citations
Eugene Tuv's Hit Papers
Peers
Comparison fields: 5 of 123
- Signal Processing 508
- Artificial Intelligence 636
- Statistics, Probability and Uncertainty 128
- Statistics and Probability 65
- Computer Vision and Pattern Recognition 161
Countries citing papers authored by Eugene Tuv
This map shows the geographic impact of Eugene Tuv'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 Eugene Tuv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene Tuv more than expected).
Fields of papers citing papers by Eugene Tuv
This network shows the impact of papers produced by Eugene Tuv. 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 Eugene Tuv. The network helps show where Eugene Tuv may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugene Tuv, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A time series forest for classification and feature extraction Hit paper breakdown → | 2013 | 405 |
| 2 | 2013 | 254 | |
| 3 | Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination | 2009 | 197 |
| 4 | 2005 | 154 | |
| 5 | 2012 | 47 | |
| 6 | 2007 | 41 | |
| 7 | 2006 | 28 | |
| 8 | 2007 | 20 | |
| 9 | Feature selection: We've barely scratched the surface | 2005 | 14 |
| 10 | 2006 | 14 | |
| 11 | Active Batch Learning with Stochastic Query-by-Forest (SQBF) | 2011 | 8 |
| 12 | 2003 | 6 | |
| 13 | 2004 | 6 | |
| 14 | 2008 | 5 | |
| 15 | 2014 | 4 | |
| 16 | 2005 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 2003 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2011 | 1 |
About Eugene Tuv
Eugene Tuv is a scholar working on Artificial Intelligence, Control and Systems Engineering, Information Systems, Signal Processing and Statistics, Probability and Uncertainty, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Machine Learning and Data Classification (5 papers), Fault Detection and Control Systems (5 papers), Data Mining Algorithms and Applications (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Statistical Process Monitoring (4 papers), Gene expression and cancer classification (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Signal Processing (508 citations), Artificial Intelligence (636 citations), Statistics, Probability and Uncertainty (128 citations), Statistics and Probability (65 citations) and Computer Vision and Pattern Recognition (161 citations). Eugene Tuv has collaborated with scholars based in United States, Mexico and Switzerland. Frequent co-authors include George C. Runger, Houtao Deng, Mustafa Gökçe Baydoğan, Alexander Borisov, Kari Torkkola, K. Torkkola, Michael E. Berens, Zheng Zhao, Jennifer Dy and Chris Ding. Their work appears in journals such as IEEE Intelligent Systems, International Journal of Production Research, IEEE Transactions on Semiconductor Manufacturing, Applied Artificial Intelligence and Information Sciences.
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.