Geert Verstraeten

527 total citations
7 papers, 354 citations indexed

About

Geert Verstraeten is a scholar working on Marketing, Artificial Intelligence and Accounting. According to data from OpenAlex, Geert Verstraeten has authored 7 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Marketing, 3 papers in Artificial Intelligence and 3 papers in Accounting. Recurrent topics in Geert Verstraeten's work include Customer churn and segmentation (4 papers), Imbalanced Data Classification Techniques (3 papers) and Financial Distress and Bankruptcy Prediction (3 papers). Geert Verstraeten is often cited by papers focused on Customer churn and segmentation (4 papers), Imbalanced Data Classification Techniques (3 papers) and Financial Distress and Bankruptcy Prediction (3 papers). Geert Verstraeten collaborates with scholars based in Belgium, Netherlands and Germany. Geert Verstraeten's co-authors include Dirk Van den Poel, Stefan Lessmann, Kristof Coussement, Wouter Buckinx, M. Egmont‐Petersen, Jan Vanthienen, Bart Baesens, Patrick Van Kenhove and Anita Prinzie and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

In The Last Decade

Geert Verstraeten

6 papers receiving 320 citations

Peers

Geert Verstraeten
Comparison fields: 5 of 58
  • Marketing 219
  • Organizational Behavior and Human Resource Management 101
  • Information Systems 94
  • Artificial Intelligence 86
  • Accounting 44
Replace Yu‐Hsin Lu with:
Yu‐Hsin Lu Taiwan
Jonathan Burez Belgium
Arthur Middleton Hughes United States
Wouter Buckinx Belgium
Eva Bucherer Switzerland
Rafael Ventura Spain
Behram J. Hansotia United States
Kin-Nam Lau Hong Kong
Laith T. Khrais Saudi Arabia
Tomas Eklund Finland
Yu‐Hsin Lu Taiwan View profile →
Citations per field, relative to Geert Verstraeten
Geert Verstraeten · 1×
Citations per year, relative to Geert Verstraeten
Geert Verstraeten · 1×

Countries citing papers authored by Geert Verstraeten

Since Specialization
Citations

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

Fields of papers citing papers by Geert Verstraeten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geert Verstraeten

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

All Works

7 of 7 papers shown
# Work Indexed citations
1 155
2
Using Predicted Outcome Stratified Sampling to Reduce the Variability in Predictive Performance of a One-Shot Train-and-Test Split for Individual Customer Predictions
3
3 33
4 54
5 0
6 107
7 2

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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