Stephen D. Bay
Impact in
- Artificial Intelligence top 1%
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
-
- Imbalanced Data Classification Techniques 4
- Machine Learning and Data Classification 3
- Anomaly Detection Techniques and Applications 3
- AI-based Problem Solving and Planning 2
-
- Data Mining Algorithms and Applications 6
- Co-authors
- Mark Schwabacher (2 shared papers)Michael J. Pazzani (5 shared papers)Padhraic Smyth (1 shared paper)Dennis Kibler (1 shared paper)M. Anderle (2 shared papers)David Steier (2 shared papers)Pat Langley (4 shared papers)Mary McGlohon (1 shared paper)
- Journals
- Knowledge and Information Systems (1 paper)Data Mining and Knowledge Discovery (1 paper)Journal of Biomedical Informatics (1 paper)Ecological Modelling (1 paper)Journal of Phycology (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Stephen D. Bay
19 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 1.1k
- Signal Processing 352
- Information Systems 362
- Computer Networks and Communications 365
- Statistics and Probability 103
Countries citing papers authored by Stephen D. Bay
This map shows the geographic impact of Stephen D. Bay'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 Stephen D. Bay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen D. Bay more than expected).
Fields of papers citing papers by Stephen D. Bay
This network shows the impact of papers produced by Stephen D. Bay. 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 Stephen D. Bay. The network helps show where Stephen D. Bay may publish in the future.
Co-authors
The 21 scholars most cited alongside Stephen D. Bay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 424 | |
| 2 | 2001 | 201 | |
| 3 | 2000 | 154 | |
| 4 | 2003 | 152 | |
| 5 | 1999 | 109 | |
| 6 | Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets | 1998 | 98 |
| 7 | 2009 | 56 | |
| 8 | 2006 | 50 | |
| 9 | 2001 | 48 | |
| 10 | 1999 | 37 | |
| 11 | 2000 | 33 | |
| 12 | 2002 | 17 | |
| 13 | 2005 | 17 | |
| 14 | 2006 | 15 | |
| 15 | Characterizing Model Erros and Differences | 2000 | 13 |
| 16 | 2002 | 13 | |
| 17 | Robust induction of process models from time-series data | 2003 | 12 |
| 18 | 2005 | 5 | |
| 19 | Discovering and Describing Category Differences: What makes a discovered difference insightful? | 2000 | 4 |
About Stephen D. Bay
Stephen D. Bay is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Signal Processing and Computer Networks and Communications, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (6 papers), Rough Sets and Fuzzy Logic (5 papers), Imbalanced Data Classification Techniques (4 papers), Data Management and Algorithms (3 papers), Machine Learning and Data Classification (3 papers), Anomaly Detection Techniques and Applications (3 papers), Face and Expression Recognition (2 papers) and AI-based Problem Solving and Planning (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Signal Processing (352 citations), Information Systems (362 citations), Computer Networks and Communications (365 citations) and Statistics and Probability (103 citations). Stephen D. Bay has collaborated with scholars based in United States and Japan. Frequent co-authors include Mark Schwabacher, Michael J. Pazzani, Padhraic Smyth, Dennis Kibler, M. Anderle, David Steier, Pat Langley, Mary McGlohon, Christos Faloutsos and Andrew Pohorille. Their work appears in journals such as Knowledge and Information Systems, Data Mining and Knowledge Discovery, Journal of Biomedical Informatics, Ecological Modelling and Journal of Phycology.
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.