Johan Huysmans
- Artificial Intelligence top 5%
- Information Systems top 10%
- Accounting top 10%
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research
- Co-authors
- Jan VanthienenBart BaesensChristophe MuesKarel DejaegerTony Van GestelDavid MartensRudy Setiono
- Topics
- Data Mining Algorithms and Applications (8 papers)Rough Sets and Fuzzy Logic (7 papers)Imbalanced Data Classification Techniques (4 papers)
- Journals
- Expert Systems with ApplicationsDecision Support SystemsIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- BelgiumUnited KingdomSingapore
In The Last Decade
Johan Huysmans
11 papers receiving 390 citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 302
- Information Systems 91
- Accounting 54
- Computational Theory and Mathematics 44
- Management Science and Operations Research 34
Countries citing papers authored by Johan Huysmans
This map shows the geographic impact of Johan Huysmans'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 Johan Huysmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Huysmans more than expected).
Fields of papers citing papers by Johan Huysmans
This network shows the impact of papers produced by Johan Huysmans. 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 Johan Huysmans. The network helps show where Johan Huysmans may publish in the future.
Co-authorship network of co-authors of Johan Huysmans
This figure shows the co-authorship network connecting the top 25 collaborators of Johan Huysmans. A scholar is included among the top collaborators of Johan Huysmans based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johan Huysmans. Johan Huysmans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 249 | |
| 2 | 17 | |
| 3 | An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules | 2 |
| 4 | 32 | |
| 5 | 6 | |
| 6 | ITER: An algorithm for predictive regression rule extraction | 4 |
| 7 | 53 | |
| 8 | New Trends in Data Mining | 9 |
| 9 | 46 | |
| 10 | Web usage mining: a practical study | 6 |
| 11 | 2 | |
| 12 | 1 |
About Johan Huysmans
Johan Huysmans is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 12 papers that have together received 427 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (302 citations) and Accounting (54 citations). Johan Huysmans has collaborated with scholars based in Belgium, United Kingdom and Singapore. Frequent co-authors include Jan Vanthienen, Bart Baesens, Christophe Mues, Karel Dejaeger, Tony Van Gestel, David Martens, Rudy Setiono and David Martens. Their work appears in journals such as Expert Systems with Applications, Decision Support Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.