Johan Huysmans

892 total citations
12 papers, 427 citations indexed

About

Johan Huysmans is a scholar working on Information Systems, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Johan Huysmans has authored 12 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Computational Theory and Mathematics. Recurrent topics in Johan Huysmans's work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Imbalanced Data Classification Techniques (4 papers). Johan Huysmans is often cited by papers focused on Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (7 papers) and Imbalanced Data Classification Techniques (4 papers). Johan Huysmans collaborates with scholars based in Belgium, United Kingdom and Singapore. Johan Huysmans's co-authors include Jan Vanthienen, Bart Baesens, Christophe Mues, Karel Dejaeger, Tony Van Gestel, David Martens, Rudy Setiono and David Martens and has published in prestigious journals such as Expert Systems with Applications, Decision Support Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Johan Huysmans

11 papers receiving 390 citations

Peers

Johan Huysmans

AI

IS

ACCOU

CTM

MSOR

Maumita Bhattacharya Australia

M.A.H. Farquad India

Sylvie Calabretto France

Thomas Verbraken Belgium

Anongnart Srivihok Thailand

Pierre-Édouard Portier France

Ilona Jagielska Australia

Juan Miguel Gómez Spain

Te-Min Chang Taiwan

Jing Song China

Maumita Bhattacharya Australia

Johan Huysmans

331 ×1.1

AI

132 ×1.5

IS

121 ×2.2

ACCOU

77 ×1.8

CTM

65 ×1.9

MSOR

Citations per year, relative to Johan Huysmans Johan Huysmans (= 1×) peers Maumita Bhattacharya

Countries citing papers authored by Johan Huysmans

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Huysmans, Johan, Karel Dejaeger, Christophe Mues, Jan Vanthienen, & Bart Baesens. (2010). An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models. Decision Support Systems. 51(1). 141–154. 249 indexed citations

2.

Huysmans, Johan, Rudy Setiono, Bart Baesens, & Jan Vanthienen. (2008). Minerva: Sequential Covering for Rule Extraction. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 38(2). 299–309. 17 indexed citations

3.

Mues, Christophe, et al.. (2007). An empirical investigation into the interpretability of data mining models based on decision trees, tables and rules. ePrints Soton (University of Southampton). 2 indexed citations

4.

Gestel, Tony Van, et al.. (2007). Forecasting and analyzing insurance companies' ratings. International Journal of Forecasting. 23(3). 513–529. 32 indexed citations

5.

Huysmans, Johan, Bart Baesens, & Jan Vanthienen. (2007). A new approach for measuring rule set consistency. Data & Knowledge Engineering. 63(1). 167–182. 6 indexed citations

6.

Huysmans, Johan, et al.. (2006). ITER: An algorithm for predictive regression rule extraction. Lecture notes in computer science. 4081. 270–279. 4 indexed citations

7.

Huysmans, Johan, Bart Baesens, & Jan Vanthienen. (2006). Using Rule Extraction to Improve the Comprehensibility of Predictive Models. SSRN Electronic Journal. 53 indexed citations

8.

Huysmans, Johan, et al.. (2005). New Trends in Data Mining. Lirias (KU Leuven). 697–711. 9 indexed citations

9.

Huysmans, Johan, Bart Baesens, Jan Vanthienen, & Tony Van Gestel. (2005). Failure prediction with self organizing maps. Expert Systems with Applications. 30(3). 479–487. 46 indexed citations

10.

Huysmans, Johan, Bart Baesens, & Jan Vanthienen. (2004). Web usage mining: a practical study. ePrints Soton (University of Southampton). 6 indexed citations

11.

Huysmans, Johan, Christophe Mues, Jan Vanthienen, & Bart Baesens. (2004). WEB USAGE MINING WITH TIME CONSTRAINED ASSOCIATION RULES. 343–348. 2 indexed citations

12.

Mues, Christophe, Johan Huysmans, Jan Vanthienen, & Bart Baesens. (2004). COMPREHENSIBLE CREDIT-SCORING KNOWLEDGE VISUALIZATION USING DECISION TABLES AND DIAGRAMS. 226–232. 1 indexed citations

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.

Explore authors with similar magnitude of impact