Bernard De Baets
About
In The Last Decade
Bernard De Baets
840 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Management Science and Operations Research 4.7k
- Computational Theory and Mathematics 4.2k
- Artificial Intelligence 3.6k
- Environmental Engineering 2.1k
- Statistics and Probability 1.8k
Countries citing papers authored by Bernard De Baets
This map shows the geographic impact of Bernard De Baets'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 Bernard De Baets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard De Baets more than expected).
Fields of papers citing papers by Bernard De Baets
This network shows the impact of papers produced by Bernard De Baets. 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 Bernard De Baets. The network helps show where Bernard De Baets may publish in the future.
Co-authorship network of co-authors of Bernard De Baets
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard De Baets. A scholar is included among the top collaborators of Bernard De Baets 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 Bernard De Baets. Bernard De Baets is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Exploring the use of X-ray micro CT as a tool for the monitoring of moisture production and mass loss during lab-based fungal degradation testing | 3 |
| 9 | 2 | |
| 10 | Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat | 1 |
| 11 | Annual Machine Learning Conference of Belgium and The Netherlands | 2 |
| 12 | Coimplicators, the forgotten connectives. | 46 |
| 13 | A comparative study of completeness conditions in fuzzy preference structures | 5 |
| 14 | On the structure of uninorms and their residual implicators | 8 |
| 15 | Disjunctive and conjunctive fuzzy modelling | 2 |
| 16 | A possibilistic analogon of Bayes' theorem | 1 |
| 17 | Model implicators and their characterization | 25 |
| 18 | Order-theoretic analysis of MCDM problems: a case study | 2 |
| 19 | An order-theoretic approach to the measuring of fuzziness | 1 |
| 20 | An introduction to fuzzy mathematical morphology. | 6 |
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.