Michel Ballings
- Management Science and Operations Research top 1%
- Sociology and Political Science top 5%
- Marketing top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Co-authors
- Dirk Van den PoelMatthijs MeireMatthias BogaertNeeraj BharadwajVikas KumarKelly HewettEdward C. MalthouseP. A. Naik
- Topics
- Digital Marketing and Social Media (11 papers)Customer churn and segmentation (6 papers)Consumer Market Behavior and Pricing (5 papers)
- Journals
- Journal of MarketingEuropean Journal of Operational ResearchExpert Systems with Applications
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Michel Ballings
21 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Management Science and Operations Research 405
- Sociology and Political Science 399
- Marketing 356
- Artificial Intelligence 240
- Economics and Econometrics 176
Countries citing papers authored by Michel Ballings
This map shows the geographic impact of Michel Ballings'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 Michel Ballings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Ballings more than expected).
Fields of papers citing papers by Michel Ballings
This network shows the impact of papers produced by Michel Ballings. 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 Michel Ballings. The network helps show where Michel Ballings may publish in the future.
Co-authorship network of co-authors of Michel Ballings
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Ballings. A scholar is included among the top collaborators of Michel Ballings 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 Michel Ballings. Michel Ballings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 100 | |
| 3 | 18 | |
| 4 | 32 | |
| 5 | 186 | |
| 6 | 7 | |
| 7 | 35 | |
| 8 | 115 | |
| 9 | 63 | |
| 10 | Predicting Movie Watching Behavior using Facebook data and Information-fusion Sensitivity Analysis | 1 |
| 11 | 8 | |
| 12 | 13 | |
| 13 | 8 | |
| 14 | 46 | |
| 15 | Evaluating multiple classifiers for stock price direction predictionbreakdown → | 387 |
| 16 | 49 | |
| 17 | 24 | |
| 18 | 18 | |
| 19 | 58 | |
| 20 | 1 |
About Michel Ballings
Michel Ballings is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Statistical and Nonlinear Physics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Customer churn and segmentation (6 papers) and Consumer Market Behavior and Pricing (5 papers). The work is most often cited by research in Marketing (356 citations), Management Science and Operations Research (405 citations) and Information Systems and Management (136 citations). Michel Ballings has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Dirk Van den Poel, Matthijs Meire, Matthias Bogaert, Neeraj Bharadwaj, Vikas Kumar, Kelly Hewett, Edward C. Malthouse, P. A. Naik, Asil Oztekin and Dries F. Benoit. Their work appears in journals such as Journal of Marketing, European Journal of Operational Research and Expert Systems with Applications.
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.