Johan Huysmans
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 4
- Neural Networks and Applications 3
- Accounting top 10%
- Financial Distress and Bankruptcy Prediction 2
- Information Systems top 10%
- Data Mining Algorithms and Applications 8
- Recommender Systems and Techniques 2
- Web Data Mining and Analysis 1
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- Rough Sets and Fuzzy Logic 7
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- Credit Risk and Financial Regulations 1
- Co-authors
- Jan VanthienenBart BaesensChristophe MuesKarel DejaegerTony Van GestelDavid MartensRudy Setiono
- Journals
- Expert Systems with Applications (1 paper)Decision Support Systems (1 paper)IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) (1 paper)
- Partner nations
- BelgiumUnited KingdomSingapore
In The Last Decade
Johan Huysmans
11 papers receiving 390 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 16
- Artificial Intelligence 302
- Accounting 54
- Information Systems 91
- Software 14
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
The 8 scholars most cited alongside Johan Huysmans, 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 | 249 | |
| 2 | 2008 | 17 | |
| 3 | An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules | 2007 | 2 |
| 4 | 2007 | 32 | |
| 5 | 2007 | 6 | |
| 6 | ITER: An algorithm for predictive regression rule extraction | 2006 | 4 |
| 7 | 2006 | 53 | |
| 8 | New Trends in Data Mining | 2005 | 9 |
| 9 | 2005 | 46 | |
| 10 | Web usage mining: a practical study | 2004 | 6 |
| 11 | 2004 | 2 | |
| 12 | 2004 | 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), Imbalanced Data Classification Techniques (4 papers), Neural Networks and Applications (3 papers), Recommender Systems and Techniques (2 papers), Financial Distress and Bankruptcy Prediction (2 papers), Credit Risk and Financial Regulations (1 paper) and Web Data Mining and Analysis (1 paper). 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.