Edward De Brouwer
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- Machine Learning in Healthcare 2
- Gaussian Processes and Bayesian Inference 2
- Neural Networks and Applications 1
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- Time Series Analysis and Forecasting 2
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- Clinical practice guidelines implementation 1
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- Artificial Intelligence in Healthcare 1
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- Liver Disease and Transplantation 1
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- Neural dynamics and brain function 1
- Co-authors
- Yves MoreauÁdám AranyJaak SimmBoumediene HamziJong‐Hyeon LeeHouman OwhadiLiesbet M. PeetersLotte Geys
- Journals
- Scientific Reports (1 paper)Physica D Nonlinear Phenomena (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- BelgiumUnited States
In The Last Decade
Edward De Brouwer
10 papers receiving 48 citations
Peers
Comparison fields: 5 of 41
- Computational Mathematics 1
- Statistical and Nonlinear Physics 15
- Artificial Intelligence 34
- Signal Processing 8
- Health Informatics 1
Countries citing papers authored by Edward De Brouwer
This map shows the geographic impact of Edward De Brouwer'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 Edward De Brouwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward De Brouwer more than expected).
Fields of papers citing papers by Edward De Brouwer
This network shows the impact of papers produced by Edward De Brouwer. 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 Edward De Brouwer. The network helps show where Edward De Brouwer may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Edward De Brouwer, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 2 | |
| 8 | Latent Convergent Cross Mapping | 2021 | 4 |
| 9 | Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series | 2020 | 1 |
| 10 | GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series | 2019 | 22 |
About Edward De Brouwer
Edward De Brouwer is a scholar working on Health Informatics, Signal Processing and Health Information Management, having authored 10 papers that have together received 51 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Time Series Analysis and Forecasting (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Clinical practice guidelines implementation (1 paper), Artificial Intelligence in Healthcare (1 paper), Liver Disease and Transplantation (1 paper), Neural dynamics and brain function (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Statistical and Nonlinear Physics (15 citations) and Artificial Intelligence (34 citations). Edward De Brouwer has collaborated with scholars based in Belgium and United States. Frequent co-authors include Yves Moreau, Ádám Arany, Jaak Simm, Boumediene Hamzi, Jong‐Hyeon Lee, Houman Owhadi, Liesbet M. Peeters, Lotte Geys, Tina Parciak and Zeshan Hussain. Their work appears in journals such as Scientific Reports, Physica D Nonlinear Phenomena and npj Digital Medicine.
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.