Geert De Soete
- Molecular Biology
- Signal Processing top 2%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Ecology top 10%
- Co-authors
- Suzanne WinsbergJ. Douglas CarrollStephen McAdamsSophie DonnadieuWayne S. DeSarboConstantin JannesGuy VingerhoetsEngelien Lannoo
- Topics
- Sensory Analysis and Statistical Methods (8 papers)Data Management and Algorithms (6 papers)Consumer Market Behavior and Pricing (6 papers)
- Partner nations
- BelgiumUnited StatesFrance
In The Last Decade
Geert De Soete
52 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 160
- Molecular Biology 368
- Signal Processing 350
- Cognitive Neuroscience 305
- Computer Vision and Pattern Recognition 219
- Ecology 216
Countries citing papers authored by Geert De Soete
This map shows the geographic impact of Geert De Soete'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 De Soete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geert De Soete more than expected).
Fields of papers citing papers by Geert De Soete
This network shows the impact of papers produced by Geert De Soete. 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 De Soete. The network helps show where Geert De Soete may publish in the future.
Co-authorship network of co-authors of Geert De Soete
This figure shows the co-authorship network connecting the top 25 collaborators of Geert De Soete. A scholar is included among the top collaborators of Geert De Soete 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 De Soete. Geert De Soete is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 143 | |
| 3 | 23 | |
| 4 | 15 | |
| 5 | 20 | |
| 6 | 369 | |
| 7 | 25 | |
| 8 | 4 | |
| 9 | 3-way scaling and clustering: Arabie, P, Carroll, JD, Desarbo, WS | 1 |
| 10 | Ultrametric tree representations of three-way three-mode data | 1 |
| 11 | Fitting of the Latent Class model via iteratively reweighted least squares CANDECOMP with nonnegativity constraints | 13 |
| 12 | 0 | |
| 13 | A New Stochastic Ultrametric Tree Unfolding Methodology for Assessing Competitive Market Structure and Deriving Market Segments | 0 |
| 14 | Probabilistic Multidimensional Scaling Models for Analyzing Consumer Choice | 2 |
| 15 | Stochastic Tree Unfolding (STUN) Models | 3 |
| 16 | 14 | |
| 17 | The Wandering Ideal Point Model: A Probabilistic Multidimensional Unfolding Model for Paired Comparisons Data | 3 |
| 18 | Alternating Least Squares Optimal Variable Weighting Algorithms for Ultrametric and Additive Tree Representations | 1 |
| 19 | A Probabilistic Multidimensional Scaling Vector Model | 1 |
| 20 | 1 |
About Geert De Soete
Geert De Soete is a scholar working on Computational Mathematics, Statistics and Probability and Signal Processing, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (8 papers), Data Management and Algorithms (6 papers) and Consumer Market Behavior and Pricing (6 papers). The work is most often cited by research in Computational Mathematics (37 citations), Microbiology (27 citations) and Signal Processing (350 citations). Geert De Soete has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Suzanne Winsberg, J. Douglas Carroll, Stephen McAdams, Sophie Donnadieu, Wayne S. DeSarbo, Constantin Jannes, Guy Vingerhoets, Engelien Lannoo, Francis Colardyn and Tom Vandekerckhove. Their work appears in journals such as PLoS ONE, American Psychologist and Journal of Psychosomatic Research.
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.