Floris Devriendt
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
- Marketing top 10%
- Customer churn and segmentation
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
Papers in
-
- Customer churn and segmentation 2
- Consumer Market Behavior and Pricing 2
-
- Imbalanced Data Classification Techniques 2
- Machine Learning and Algorithms 1
- Co-authors
- Wouter Verbeke (4 shared papers)Joeri Van Mierlo (1 shared paper)Matthieu Dubarry (1 shared paper)I. Villarreal (1 shared paper)Maitane Berecibar (1 shared paper)Noshin Omar (1 shared paper)Kristof Coussement (1 shared paper)
- Journals
- Information Sciences (1 paper)Decision Support Systems (1 paper)Big Data (1 paper)Journal of Power Sources (1 paper)VUBIR (Vrije Universiteit Brussel) (1 paper)
- Partner nations
- BelgiumRomaniaUnited States
In The Last Decade
Floris Devriendt
5 papers receiving 309 citations
Peers
Comparison fields: 5 of 47
- Automotive Engineering 160
- Marketing 76
- Statistics and Probability 39
- Safety, Risk, Reliability and Quality 25
- Electrical and Electronic Engineering 154
Countries citing papers authored by Floris Devriendt
This map shows the geographic impact of Floris Devriendt'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 Floris Devriendt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Floris Devriendt more than expected).
Fields of papers citing papers by Floris Devriendt
This network shows the impact of papers produced by Floris Devriendt. 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 Floris Devriendt. The network helps show where Floris Devriendt may publish in the future.
Co-authors
The 7 scholars most cited alongside Floris Devriendt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 168 | |
| 2 | 2018 | 64 | |
| 3 | 2019 | 56 | |
| 4 | 2022 | 20 | |
| 5 | 2019 | 10 |
About Floris Devriendt
Floris Devriendt is a scholar working on Marketing, Artificial Intelligence, Communication, Automotive Engineering and Control and Systems Engineering, having authored 5 papers that have together received 318 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (2 papers), Customer churn and segmentation (2 papers), Consumer Market Behavior and Pricing (2 papers), Machine Learning and Algorithms (1 paper), Advanced Battery Technologies Research (1 paper), Knowledge Management and Sharing (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Advanced Causal Inference Techniques (1 paper). The work is most often cited by research in Automotive Engineering (160 citations), Marketing (76 citations), Statistics and Probability (39 citations), Safety, Risk, Reliability and Quality (25 citations) and Electrical and Electronic Engineering (154 citations). Floris Devriendt has collaborated with scholars based in Belgium, Romania and United States. Frequent co-authors include Wouter Verbeke, Joeri Van Mierlo, Matthieu Dubarry, I. Villarreal, Maitane Berecibar, Noshin Omar and Kristof Coussement. Their work appears in journals such as Information Sciences, Decision Support Systems, Big Data, Journal of Power Sources and VUBIR (Vrije Universiteit Brussel).
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.