Dirk Van den Poel

10.1k total citations · 1 hit paper
138 papers, 6.6k citations indexed

About

Dirk Van den Poel is a scholar working on Marketing, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Dirk Van den Poel has authored 138 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Marketing, 30 papers in Artificial Intelligence and 27 papers in Sociology and Political Science. Recurrent topics in Dirk Van den Poel's work include Customer churn and segmentation (47 papers), Consumer Market Behavior and Pricing (42 papers) and Customer Service Quality and Loyalty (26 papers). Dirk Van den Poel is often cited by papers focused on Customer churn and segmentation (47 papers), Consumer Market Behavior and Pricing (42 papers) and Customer Service Quality and Loyalty (26 papers). Dirk Van den Poel collaborates with scholars based in Belgium, Germany and United States. Dirk Van den Poel's co-authors include Kristof Coussement, Michel Ballings, Jonathan Burez, Wouter Buckinx, Dirk Thorleuchter, Anita Prinzie, Dries F. Benoit, Bart Larivière, Joseph Leunis and Koen W. De Bock and has published in prestigious journals such as Journal of Marketing, European Journal of Operational Research and Journal of Business Research.

In The Last Decade

Dirk Van den Poel

136 papers receiving 6.1k citations

Hit Papers

Evaluating multiple class... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dirk Van den Poel Belgium 44 3.0k 1.4k 1.3k 1.3k 1.1k 138 6.6k
Shu-Hsien Liao Taiwan 40 906 0.3× 1.1k 0.8× 700 0.5× 956 0.7× 786 0.7× 130 6.3k
Arpan Kumar Kar India 48 1.1k 0.4× 1.9k 1.3× 1.3k 0.9× 626 0.5× 2.3k 2.1× 188 8.1k
Indranil Bose India 37 923 0.3× 980 0.7× 945 0.7× 359 0.3× 1.4k 1.3× 142 4.7k
Weiguo Fan United States 52 1.8k 0.6× 3.1k 2.2× 2.1k 1.6× 818 0.6× 4.0k 3.7× 266 10.3k
G. Alan Wang United States 29 1.0k 0.3× 958 0.7× 777 0.6× 736 0.6× 1.7k 1.5× 102 4.2k
Zhi‐Ping Fan China 53 1.1k 0.4× 2.0k 1.5× 1.0k 0.8× 602 0.5× 1.2k 1.1× 229 8.4k
Ingoo Han South Korea 39 2.3k 0.8× 2.3k 1.7× 970 0.7× 1.8k 1.3× 4.3k 4.0× 112 9.7k
Yongtae Park South Korea 48 1.0k 0.4× 647 0.5× 530 0.4× 510 0.4× 618 0.6× 162 7.1k
Shahriar Akter Australia 47 2.0k 0.7× 937 0.7× 1.2k 0.9× 1.5k 1.1× 2.0k 1.9× 130 10.8k

Countries citing papers authored by Dirk Van den Poel

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Van den Poel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dirk Van den Poel. 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 Dirk Van den Poel. The network helps show where Dirk Van den Poel may publish in the future.

Co-authorship network of co-authors of Dirk Van den Poel

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

All Works

20 of 20 papers shown
1.
Bogaert, Matthias, et al.. (2025). A Comparative Analysis of Topic Reduction Techniques for BERTopic. IEEE Access. 13. 204087–204103.
2.
Larivière, Bart, et al.. (2024). Customer experiences and coping behaviors during crisis situations: The role of service adaptation and service transformation. Journal of Business Research. 188. 115089–115089. 2 indexed citations
3.
Bogaert, Matthias, et al.. (2023). 360 Degrees rumor detection: When explanations got some explaining to do. European Journal of Operational Research. 317(2). 366–381. 11 indexed citations
4.
Poel, Dirk Van den, et al.. (2021). A Performance Analysis of Fault Recovery in Stream Processing Frameworks. IEEE Access. 9. 93745–93763. 15 indexed citations
5.
Poel, Dirk Van den, et al.. (2021). Influencing Factors in the Scalability of Distributed Stream Processing Jobs. IEEE Access. 9. 109413–109431. 8 indexed citations
6.
Bogaert, Matthias, et al.. (2021). Evaluating the influence of Airbnb listings’ descriptions on demand. International Journal of Hospitality Management. 99. 103071–103071. 14 indexed citations
7.
Poel, Dirk Van den, et al.. (2020). Evaluation of Stream Processing Frameworks. IEEE Transactions on Parallel and Distributed Systems. 31(8). 1845–1858. 48 indexed citations
8.
Poel, Dirk Van den, et al.. (2020). Machine learning refinery sensor data to predict catalyst saturation levels. Computers & Chemical Engineering. 134. 106722–106722. 11 indexed citations
10.
Ballings, Michel, et al.. (2015). Evaluating multiple classifiers for stock price direction prediction. Expert Systems with Applications. 42(20). 7046–7056. 387 indexed citations breakdown →
11.
Poel, Dirk Van den, et al.. (2015). Predicting Consumer Load ProfilesUsing Commercial and Open Data. IEEE Transactions on Power Systems. 31(5). 3693–3701. 34 indexed citations
12.
Lausen, Berthold, Dirk Van den Poel, & Alfred Ultsch. (2013). Algorithms from and for Nature and Life: Classification and Data Analysis. Open Access at Essex (University of Essex). 4 indexed citations
13.
Baecke, Philippe & Dirk Van den Poel. (2012). Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX. 2 indexed citations
14.
Miguéis, Vera, Dirk Van den Poel, Ana S. Camanho, & João Falcão e Cunha. (2012). Modeling partial customer churn: On the value of first product-category purchase sequences. Expert Systems with Applications. 39(12). 11250–11256. 69 indexed citations
15.
Poel, Dirk Van den, et al.. (2010). Predicting decisions to donate and generosity in real-life: the added value of including measures of empathy. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
16.
Bock, Koen W. De, Kristof Coussement, & Dirk Van den Poel. (2010). GAMens: Applies GAMens, GAMrsm and GAMbag ensemble classifiers. R Package version 1.11.. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
17.
Verstraeten, Geert & Dirk Van den Poel. (2006). Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions. Ghent University Academic Bibliography (Ghent University). 214–224. 3 indexed citations
18.
Poel, Dirk Van den, et al.. (2003). Predicting Mail-Order Repeat Buying: Which Variables Matter?. RePEc: Research Papers in Economics. 48(3). 371–404. 15 indexed citations
19.
Verstraeten, Geert & Dirk Van den Poel. (2003). Quantifying Credit-scoring Performance. 29. 317–326.
20.
Poel, Dirk Van den & Geert Wets. (1996). Data Mining for Database Marketing: a mail-order company application. Ghent University Academic Bibliography (Ghent University). 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.

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