Eric W. Cooper
Impact in
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Machine Learning and Data Classification
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- Artificial Intelligence in Healthcare
Papers in
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- Color perception and design 18
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- Color Science and Applications 15
- Co-authors
- Katsuari Kamei (31 shared papers)Hien M. Nguyen (4 shared papers)Yukinobu Hoshino (12 shared papers)Katsuhiko Kamei (6 shared papers)Fitra Abdurrachman Bachtiar (8 shared papers)Victor V. Kryssanov (4 shared papers)Hai Van Pham (2 shared papers)Tuan Linh Dang (1 shared paper)
In The Last Decade
Eric W. Cooper
51 papers receiving 665 citations
Eric W. Cooper's Hit Papers
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 398
- Health Information Management 46
- Signal Processing 58
- Experimental and Cognitive Psychology 45
- Software 14
Countries citing papers authored by Eric W. Cooper
This map shows the geographic impact of Eric W. Cooper'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 Eric W. Cooper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric W. Cooper more than expected).
Fields of papers citing papers by Eric W. Cooper
This network shows the impact of papers produced by Eric W. Cooper. 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 Eric W. Cooper. The network helps show where Eric W. Cooper may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric W. Cooper, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Borderline over-sampling for imbalanced data classification Hit paper breakdown → | 2011 | 440 |
| 2 | 2011 | 38 | |
| 3 | 2012 | 28 | |
| 4 | Borderline Over-sampling for Imbalanced Data Classification | 2009 | 20 |
| 5 | 2011 | 16 | |
| 6 | 2006 | 11 | |
| 7 | 2013 | 9 | |
| 8 | 2014 | 8 | |
| 9 | 2005 | 7 | |
| 10 | 2020 | 6 | |
| 11 | A Colour Support System for Townscape Based on Kansei and Colour Harmony Models | 2003 | 5 |
| 12 | 2006 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2009 | 5 | |
| 16 | 2012 | 4 | |
| 17 | 2007 | 4 | |
| 18 | 2002 | 4 | |
| 19 | 2006 | 4 | |
| 20 | 2006 | 4 |
About Eric W. Cooper
Eric W. Cooper is a scholar working on Social Psychology, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Experimental and Cognitive Psychology and Information Systems, having authored 59 papers that have together received 690 indexed citations. Recurring topics across this work include Color perception and design (18 papers), Color Science and Applications (15 papers), Multisensory perception and integration (11 papers), Emotion and Mood Recognition (6 papers), Online Learning and Analytics (6 papers), Educational Technology and Assessment (5 papers), Imbalanced Data Classification Techniques (5 papers) and Traditional Chinese Medicine Studies (4 papers). The work is most often cited by research in Artificial Intelligence (398 citations), Health Information Management (46 citations), Signal Processing (58 citations), Experimental and Cognitive Psychology (45 citations) and Software (14 citations). Eric W. Cooper has collaborated with scholars based in Japan, Indonesia and Vietnam. Frequent co-authors include Katsuari Kamei, Hien M. Nguyen, Yukinobu Hoshino, Katsuhiko Kamei, Fitra Abdurrachman Bachtiar, Victor V. Kryssanov, Hai Van Pham, Tuan Linh Dang, Yoichiro Maeda and Asako Kimura. Their work appears in journals such as The Medical Journal of Australia, Color Research & Application, Information Sciences, Applied Sciences and Lecture notes in computer science.
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.