Rob Potharst

578 total citations
18 papers, 307 citations indexed

About

Rob Potharst is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management of Technology and Innovation. According to data from OpenAlex, Rob Potharst has authored 18 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computational Theory and Mathematics and 4 papers in Management of Technology and Innovation. Recurrent topics in Rob Potharst's work include Rough Sets and Fuzzy Logic (8 papers), Imbalanced Data Classification Techniques (6 papers) and Organizational Management and Leadership (4 papers). Rob Potharst is often cited by papers focused on Rough Sets and Fuzzy Logic (8 papers), Imbalanced Data Classification Techniques (6 papers) and Organizational Management and Leadership (4 papers). Rob Potharst collaborates with scholars based in Netherlands and Israel. Rob Potharst's co-authors include Michiel van Wezel, Ad Feelders, Jan C. Bioch, Nanda Piersma, Jedid‐Jah Jonker, Arie Ben‐David, Wim Pijls, Irena Milstein and Uzay Kaymak and has published in prestigious journals such as European Journal of Operational Research, Decision Support Systems and Engineering Applications of Artificial Intelligence.

In The Last Decade

Rob Potharst

17 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rob Potharst Netherlands 9 187 91 90 51 47 18 307
Jiapeng Liu China 7 128 0.7× 65 0.7× 46 0.5× 230 4.5× 29 0.6× 9 388
Deirdre O'Brien United States 6 91 0.5× 14 0.2× 92 1.0× 38 0.7× 21 0.4× 8 311
Stéphane Lallich France 9 210 1.1× 103 1.1× 120 1.3× 25 0.5× 8 0.2× 27 365
Xiaodan Wang China 9 162 0.9× 91 1.0× 17 0.2× 212 4.2× 61 1.3× 24 410
Marcel Holsheimer Netherlands 7 144 0.8× 88 1.0× 202 2.2× 30 0.6× 29 0.6× 7 323
Ding-An Chiang Taiwan 11 213 1.1× 131 1.4× 134 1.5× 187 3.7× 40 0.9× 29 465
Vahid Khatibi Iran 9 113 0.6× 51 0.6× 70 0.8× 116 2.3× 4 0.1× 21 322
Bavani Arunasalam Australia 8 127 0.7× 29 0.3× 88 1.0× 40 0.8× 7 0.1× 9 304
Ilona Jagielska Australia 8 112 0.6× 54 0.6× 46 0.5× 53 1.0× 18 0.4× 20 275

Countries citing papers authored by Rob Potharst

Since Specialization
Citations

This map shows the geographic impact of Rob Potharst'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 Rob Potharst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Potharst more than expected).

Fields of papers citing papers by Rob Potharst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rob Potharst. 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 Rob Potharst. The network helps show where Rob Potharst may publish in the future.

Co-authorship network of co-authors of Rob Potharst

This figure shows the co-authorship network connecting the top 25 collaborators of Rob Potharst. A scholar is included among the top collaborators of Rob Potharst 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 Rob Potharst. Rob Potharst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Milstein, Irena, et al.. (2015). About the sensitivity of ordinal classifiers to non-monotone noise. 4(2). 1 indexed citations
2.
Pijls, Wim & Rob Potharst. (2014). Repairing non-monotone ordinal data sets by changing class labels. RePEc: Research Papers in Economics. 2 indexed citations
3.
Pijls, Wim & Rob Potharst. (2013). Another Note on Dilworth's Decomposition Theorem. 2013. 1–4. 4 indexed citations
4.
Milstein, Irena, et al.. (2013). Generating noisy monotone ordinal datasets. 3(1). 9 indexed citations
5.
Kaymak, Uzay, Arie Ben‐David, & Rob Potharst. (2012). The AUK: A simple alternative to the AUC. Engineering Applications of Artificial Intelligence. 25(5). 1082–1089. 3 indexed citations
6.
Potharst, Rob, Arie Ben‐David, & Michiel van Wezel. (2009). Two algorithms for generating structured and unstructured monotone ordinal data sets. Engineering Applications of Artificial Intelligence. 22(4-5). 491–496. 17 indexed citations
7.
Potharst, Rob, et al.. (2007). A support system for predicting eBay end prices. Decision Support Systems. 44(4). 970–982. 2 indexed citations
8.
Wezel, Michiel van & Rob Potharst. (2006). Improved customer choice predictions using ensemble methods. European Journal of Operational Research. 181(1). 436–452. 4 indexed citations
9.
Wezel, Michiel van & Rob Potharst. (2005). Improved customer choice predictions using ensemble methods. EUR Research Repository (Erasmus University Rotterdam). 68 indexed citations
10.
Wezel, Michiel van, et al.. (2005). Boosting the accuracy of hedonic pricing models. RePEc: Research Papers in Economics. 9 indexed citations
11.
Jonker, Jedid‐Jah, Nanda Piersma, & Rob Potharst. (2005). A decision support system for direct mailing decisions. Decision Support Systems. 42(2). 915–925. 26 indexed citations
12.
13.
Potharst, Rob & Ad Feelders. (2002). Classification trees for problems with monotonicity constraints. ACM SIGKDD Explorations Newsletter. 4(1). 1–10. 87 indexed citations
14.
Bioch, Jan C., et al.. (2002). Classification using Bayesian neural nets. Proceedings of International Conference on Neural Networks (ICNN'96). 3. 1488–1493. 10 indexed citations
15.
Pijls, Wim & Rob Potharst. (2000). CLASSIFICATION AND TARGET GROUP SELECTION BASED UPON FREQUENT PATTERNS. RePub (Erasmus University Rotterdam). 4 indexed citations
16.
Potharst, Rob & Jan C. Bioch. (2000). Decision trees for ordinal classification. Intelligent Data Analysis. 4(2). 97–111. 49 indexed citations
17.
Potharst, Rob, et al.. (1998). Quasi-monotone decision trees for ordinal classification. Data Archiving and Networked Services (DANS). 4 indexed citations
18.
Potharst, Rob, et al.. (1997). Monotone Decision Trees. Data Archiving and Networked Services (DANS). 8 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.

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