Seppo Puuronen
Impact in
- Artificial Intelligence top 5%
- Machine Learning and Data Classification
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
-
- Machine Learning and Data Classification 13
- Semantic Web and Ontologies 7
- Fuzzy Logic and Control Systems 7
- Neural Networks and Applications 6
- Imbalanced Data Classification Techniques 4
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- Data Mining Algorithms and Applications 14
- Co-authors
- Alexey Tsymbal (27 shared papers)Mykola Pechenizkiy (25 shared papers)Pádraig Cunningham (3 shared papers)David Patterson (3 shared papers)Ekaterina Vasilyeva (5 shared papers)Vagan Terziyan (9 shared papers)Elena Zaitseva (3 shared papers)Pekka Räsänen (1 shared paper)
- Journals
- Information Fusion (2 papers)Information Systems Journal (1 paper)Computers & Security (1 paper)International Journal of Medical Informatics (1 paper)Fundamenta Informaticae (1 paper)
- Partner nations
- FinlandIrelandNetherlands
In The Last Decade
Seppo Puuronen
48 papers receiving 687 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 472
- Signal Processing 100
- Information Systems 156
- Health Information Management 30
- Computer Vision and Pattern Recognition 123
Countries citing papers authored by Seppo Puuronen
This map shows the geographic impact of Seppo Puuronen'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 Seppo Puuronen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seppo Puuronen more than expected).
Fields of papers citing papers by Seppo Puuronen
This network shows the impact of papers produced by Seppo Puuronen. 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 Seppo Puuronen. The network helps show where Seppo Puuronen may publish in the future.
Co-authors
The 17 scholars most cited alongside Seppo Puuronen, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 137 | |
| 2 | 2003 | 117 | |
| 3 | 2006 | 68 | |
| 4 | 2007 | 34 | |
| 5 | 2004 | 34 | |
| 6 | 2006 | 32 | |
| 7 | 2005 | 26 | |
| 8 | Eigenvector-Based Feature Extraction for Classification | 2002 | 24 |
| 9 | 2007 | 23 | |
| 10 | 2003 | 23 | |
| 11 | 2006 | 21 | |
| 12 | 2003 | 18 | |
| 13 | Anomaly Intrusion Detection Systems: Handling Temporal Relations Between Events. | 1999 | 15 |
| 14 | 2006 | 14 | |
| 15 | 2002 | 13 | |
| 16 | 1998 | 11 | |
| 17 | 2006 | 11 | |
| 18 | 2008 | 11 | |
| 19 | 1997 | 10 | |
| 20 | 2008 | 9 |
About Seppo Puuronen
Seppo Puuronen is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Management Information Systems, having authored 51 papers that have together received 755 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (14 papers), Machine Learning and Data Classification (13 papers), Semantic Web and Ontologies (7 papers), Fuzzy Logic and Control Systems (7 papers), Face and Expression Recognition (6 papers), Neural Networks and Applications (6 papers), Big Data and Business Intelligence (4 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (472 citations), Signal Processing (100 citations), Information Systems (156 citations), Health Information Management (30 citations) and Computer Vision and Pattern Recognition (123 citations). Seppo Puuronen has collaborated with scholars based in Finland, Ireland and Netherlands. Frequent co-authors include Alexey Tsymbal, Mykola Pechenizkiy, Pádraig Cunningham, David Patterson, Ekaterina Vasilyeva, Vagan Terziyan, Elena Zaitseva, Pekka Räsänen, Vitaly Levashenko and Oleksiy Mazhelis. Their work appears in journals such as Information Fusion, Information Systems Journal, Computers & Security, International Journal of Medical Informatics and Fundamenta Informaticae.
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.