Nele Verbiest
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Information Systems top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Chris CornelisFrancisco HerreraEnislay RamentolLluı́s GodoLynn D’eerPatricia VictorSarah VluymansJesús Medina
- Topics
- Rough Sets and Fuzzy Logic (10 papers)Data Mining Algorithms and Applications (8 papers)Machine Learning and Data Classification (5 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceManagement Science and Operations Research
- Partner nations
- BelgiumSpainUnited Kingdom
In The Last Decade
Nele Verbiest
17 papers receiving 484 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 329
- Computational Theory and Mathematics 227
- Information Systems 137
- Management Science and Operations Research 81
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Nele Verbiest
This map shows the geographic impact of Nele Verbiest'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 Nele Verbiest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nele Verbiest more than expected).
Fields of papers citing papers by Nele Verbiest
This network shows the impact of papers produced by Nele Verbiest. 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 Nele Verbiest. The network helps show where Nele Verbiest may publish in the future.
Co-authorship network of co-authors of Nele Verbiest
This figure shows the co-authorship network connecting the top 25 collaborators of Nele Verbiest. A scholar is included among the top collaborators of Nele Verbiest 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 Nele Verbiest. Nele Verbiest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 43 | |
| 3 | 85 | |
| 4 | 76 | |
| 5 | Instance Selection for Imbalanced Data | 2 |
| 6 | 7 | |
| 7 | 83 | |
| 8 | 41 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 41 | |
| 12 | 33 | |
| 13 | 30 | |
| 14 | Selección de prototipos basada en conjuntos rugosos difusos | 0 |
| 15 | 23 | |
| 16 | 12 | |
| 17 | Multi-Adjoint Fuzzy Rough Sets | 1 |
| 18 | 1 |
About Nele Verbiest
Nele Verbiest is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 18 papers that have together received 503 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (10 papers), Data Mining Algorithms and Applications (8 papers) and Machine Learning and Data Classification (5 papers). The work is most often cited by research in Computational Theory and Mathematics (227 citations), Artificial Intelligence (329 citations) and Management Science and Operations Research (81 citations). Nele Verbiest has collaborated with scholars based in Belgium, Spain and United Kingdom. Frequent co-authors include Chris Cornelis, Francisco Herrera, Enislay Ramentol, Lluı́s Godo, Lynn D’eer, Patricia Victor, Sarah Vluymans, Jesús Medina, Salvador García and Yailé Caballero Mota. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.
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.