Stan Matwin

12.8k citations
263 papers · 6.8k indexed · 2 hit papers · h-index 36

Stan Matwin

246 papers receiving 6.3k citations

Hit Papers

Machine Learning for the Detection of Oil Spills in Satel...85819972026200620164008001.2k

Peers

Stan Matwin
Comparison fields: 5 of 194
  • Artificial Intelligence 4.3k
  • Information Systems 1.3k
  • Software 216
  • Signal Processing 607
  • Health Information Management 186
Replace Oded Maimon with:
Oded Maimon Israel
Pat Langley United States
Hiroshi Motoda Japan
Alex A. Freitas United Kingdom
Dingding Wang United States
Guy Lapalme Canada
David W. Aha United States
Nathalie Japkowicz Canada
Yong Shi China
Ludmila I. Kuncheva United Kingdom
Stan Matwin relative to Oded Maimon Israel Oded Maimon's profile →
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Citations per year

Countries citing papers authored by Stan Matwin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Stan Matwin Line = papers co-authored together Stan Matwin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20246
2 20248
3 20245
4 20235
5 20237
6 202114
7 202115
8 201921
9
2nd Workshop on Learning with Imbalanced Domains: Preface
20181
10 20171
11
Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification.
20171
12
Ship movement anomaly detection using specialized distance measures
201514
13
Clustering-based Multidimensional Sequence Data Anonymization.
20141
14
Combining Binary Classifiers for a Multiclass Problem with Differential Privacy
20141
15 201317
16
Authorship Attribution in Health Forums
20133
17
PEEP- An Information Extraction base approach for Privacy Protection in Email.
20059
18
Bayesian Network Induction with Incomplete Private Data
20041
19
A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization
2001102
20
The Software for Cultures and the Cultures in Software
20008

About Stan Matwin

Stan Matwin is a scholar working on Artificial Intelligence, Signal Processing and Ocean Engineering, having authored 263 papers that have together received 6.8k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (32 papers), Maritime Navigation and Safety (26 papers), Topic Modeling (23 papers), Semantic Web and Ontologies (23 papers), Anomaly Detection Techniques and Applications (22 papers), Cryptography and Data Security (22 papers), AI-based Problem Solving and Planning (21 papers) and Data Management and Algorithms (20 papers). The work is most often cited by research in Artificial Intelligence (4.3k citations), Information Systems (1.3k citations) and Software (216 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, Ahmed Ali Abdalla Esmin, Rodrigo A. Coelho, Peter Flach, Nathalie Japkowicz, Érico N. de Souza, Svetlana Kiritchenko and Amílcar Soares. Their work appears in journals such as Journal of the Association for Information Systems, The Journal of the Acoustical Society of America, Machine Learning, Journal of Intelligent Information Systems 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.

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