Stan Matwin
Impact in
- Artificial Intelligence top 0.1%
- Imbalanced Data Classification Techniques
- Text and Document Classification Technologies
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Topic Modeling
- Natural Language Processing Techniques
- Information Systems top 0.2%
- Data Mining Algorithms and Applications
Papers in
-
- Privacy-Preserving Technologies in Data 46
- Semantic Web and Ontologies 34
- Cryptography and Data Security 31
- Anomaly Detection Techniques and Applications 31
- Topic Modeling 29
- AI-based Problem Solving and Planning 28
- Co-authors
- Miroslav Kubát (3 shared papers)Robert C. Holte (2 shared papers)Sam Scott (2 shared papers)Nathalie Japkowicz (29 shared papers)Svetlana Kiritchenko (6 shared papers)Ahmed Ali Abdalla Esmin (3 shared papers)Diana Inkpen (8 shared papers)Érico N. de Souza (15 shared papers)
- Journals
- Lecture notes in computer science (73 papers)Journal of the Association for Information Systems (7 papers)The Journal of the Acoustical Society of America (5 papers)Machine Learning (4 papers)GeoInformatica (4 papers)
- Partner nations
- CanadaPolandUnited States
In The Last Decade
Stan Matwin
344 papers receiving 8.9k citations
Stan Matwin's Hit Papers
Peers
Comparison fields: 5 of 195
- Artificial Intelligence 6.4k
- Information Systems 2.0k
- Signal Processing 863
- Software 275
- Health Information Management 222
Countries citing papers authored by Stan Matwin
This map shows the geographic impact of Stan Matwin'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 Stan Matwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Matwin more than expected).
Fields of papers citing papers by Stan Matwin
This network shows the impact of papers produced by Stan Matwin. 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 Stan Matwin. The network helps show where Stan Matwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Matwin, 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 368 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. Hit paper breakdown → | 1997 | 1740 |
| 2 | Machine Learning for the Detection of Oil Spills in Satellite Radar Images Hit paper breakdown → | 1998 | 1011 |
| 3 | 2013 | 287 | |
| 4 | Feature Engineering for Text Classification | 1999 | 243 |
| 5 | 1997 | 242 | |
| 6 | Canadian Conference on Artificial Intelligence | 2009 | 192 |
| 7 | 2010 | 186 | |
| 8 | 2016 | 183 | |
| 9 | Text Classification Using WordNet Hypernyms | 1998 | 180 |
| 10 | 2006 | 172 | |
| 11 | 2015 | 137 | |
| 12 | A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization | 2001 | 130 |
| 13 | 2016 | 120 | |
| 14 | 1989 | 100 | |
| 15 | 1991 | 97 | |
| 16 | Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases | 2007 | 95 |
| 17 | 18th European Conference on Machine Learning | 2007 | 91 |
| 18 | Functional Annotation of Genes Using Hierarchical Text Categorization | 2005 | 90 |
| 19 | 2008 | 88 | |
| 20 | Email classification with co-training | 2011 | 87 |
About Stan Matwin
Stan Matwin is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Ocean Engineering and Computer Networks and Communications, having authored 368 papers that have together received 9.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (46 papers), Semantic Web and Ontologies (34 papers), Cryptography and Data Security (31 papers), Anomaly Detection Techniques and Applications (31 papers), Topic Modeling (29 papers), Maritime Navigation and Safety (29 papers), Data Management and Algorithms (28 papers) and AI-based Problem Solving and Planning (28 papers). The work is most often cited by research in Artificial Intelligence (6.4k citations), Information Systems (2.0k citations), Signal Processing (863 citations), Software (275 citations) and Health Information Management (222 citations). Stan Matwin has collaborated with scholars based in Canada, Poland and United States. Frequent co-authors include Miroslav Kubát, Robert C. Holte, Sam Scott, Nathalie Japkowicz, Svetlana Kiritchenko, Ahmed Ali Abdalla Esmin, Diana Inkpen, Érico N. de Souza, Amílcar Soares and Rodrigo A. Coelho. Their work appears in journals such as Lecture notes in computer science, Journal of the Association for Information Systems, The Journal of the Acoustical Society of America, Machine Learning and GeoInformatica.
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.