Paul Elzinga
Impact in
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- Rough Sets and Fuzzy Logic
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- Data Management and Algorithms
Papers in
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- Rough Sets and Fuzzy Logic 10
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- Data Mining Algorithms and Applications 6
- Co-authors
- Jonas Poelmans (15 shared papers)Guido Dedene (13 shared papers)Stijn Viaene (12 shared papers)Karl Wolff (1 shared paper)Marc M. Van Hulle (3 shared papers)Dmitry I. Ignatov (2 shared papers)Sergei O. Kuznetsov (2 shared papers)Wessel Kraaij (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Applied Soft Computing (1 paper)International Journal of General Systems (1 paper)Intelligent systems in accounting, finance and management (1 paper)RePEc: Research Papers in Economics (2 papers)
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Paul Elzinga
17 papers receiving 146 citations
Peers
Comparison fields: 5 of 32
- Computational Theory and Mathematics 65
- Signal Processing 29
- Information Systems 56
- Artificial Intelligence 65
- Management Science and Operations Research 13
Countries citing papers authored by Paul Elzinga
This map shows the geographic impact of Paul Elzinga'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 Paul Elzinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Elzinga more than expected).
Fields of papers citing papers by Paul Elzinga
This network shows the impact of papers produced by Paul Elzinga. 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 Paul Elzinga. The network helps show where Paul Elzinga may publish in the future.
Co-authors
The 9 scholars most cited alongside Paul Elzinga, 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 | 2010 | 26 | |
| 2 | 2010 | 22 | |
| 3 | 2012 | 21 | |
| 4 | 2011 | 14 | |
| 5 | 2009 | 12 | |
| 6 | 2010 | 11 | |
| 7 | 2012 | 10 | |
| 8 | Retrieval of criminal trajectories with an FCA-based approach | 2013 | 8 |
| 9 | 2010 | 5 | |
| 10 | 2010 | 5 | |
| 11 | 2009 | 4 | |
| 12 | Formalizing the concepts of crimes and criminals | 2011 | 3 |
| 13 | Concept relation discovery and innovation enabling technology | 2011 | 3 |
| 14 | 2009 | 3 | |
| 15 | Maximizing classifier utility for a given accuracy | 2008 | 2 |
| 16 | 2010 | 1 | |
| 17 | Detecting domestic violence | 2009 | 1 |
About Paul Elzinga
Paul Elzinga is a scholar working on Computational Theory and Mathematics, Information Systems, Artificial Intelligence, Molecular Biology and Signal Processing, having authored 17 papers that have together received 151 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (6 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Data Management and Algorithms (2 papers), Crime Patterns and Interventions (2 papers), Data-Driven Disease Surveillance (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Computational Theory and Mathematics (65 citations), Signal Processing (29 citations), Information Systems (56 citations), Artificial Intelligence (65 citations) and Management Science and Operations Research (13 citations). Paul Elzinga has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Jonas Poelmans, Guido Dedene, Stijn Viaene, Karl Wolff, Marc M. Van Hulle, Dmitry I. Ignatov, Sergei O. Kuznetsov, Wessel Kraaij and Stephan Raaijmakers. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing, International Journal of General Systems, Intelligent systems in accounting, finance and management and RePEc: Research Papers in Economics.
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.