Edward De Brouwer

66 total papers · 790 total citations
10 papers, 48 citations indexed

About

Edward De Brouwer is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics. According to data from OpenAlex, Edward De Brouwer has authored 10 papers receiving a total of 48 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Edward De Brouwer's work include Gaussian Processes and Bayesian Inference (2 papers), Machine Learning in Healthcare (2 papers) and Time Series Analysis and Forecasting (2 papers). Edward De Brouwer is often cited by papers focused on Gaussian Processes and Bayesian Inference (2 papers), Machine Learning in Healthcare (2 papers) and Time Series Analysis and Forecasting (2 papers). Edward De Brouwer collaborates with scholars based in Belgium and United States. Edward De Brouwer's co-authors include Yves Moreau, Jaak Simm, Ádám Arany, Jong‐Hyeon Lee, Boumediene Hamzi, Houman Owhadi, Liesbet M. Peeters, Tina Parciak, Lotte Geys and Guohui Liu and has published in prestigious journals such as Scientific Reports, Physica D Nonlinear Phenomena and npj Digital Medicine.

In The Last Decade

Edward De Brouwer

10 papers receiving 45 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Edward De Brouwer 34 15 8 7 4 10 48
Matheus R. F. Mendonça 41 1.2× 18 1.2× 5 0.6× 5 0.7× 3 0.8× 10 68
Filip Hanzely 27 0.8× 10 0.7× 8 1.0× 4 0.6× 8 61
Jianlong Tan 30 0.9× 10 0.7× 4 0.5× 4 0.6× 8 2.0× 10 52
Konstantina Palla 39 1.1× 9 0.6× 3 0.4× 9 1.3× 15 3.8× 12 79
Shashi Borade 30 0.9× 6 0.4× 6 0.8× 4 0.6× 2 0.5× 9 229
Julien Ah-Pine 29 0.9× 8 0.5× 4 0.5× 28 4.0× 8 2.0× 10 68
Kien Do 51 1.5× 6 0.4× 6 0.8× 22 3.1× 6 1.5× 14 64
Vaishnavh Nagarajan 26 0.8× 6 0.4× 3 0.4× 11 1.6× 3 0.8× 7 44
Bruce W. Herr 15 0.4× 8 0.5× 3 0.4× 16 2.3× 6 1.5× 10 49
Shaohua Tan 48 1.4× 4 0.3× 6 0.8× 12 1.7× 2 0.5× 11 64

Countries citing papers authored by Edward De Brouwer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Edward De Brouwer

This figure shows the co-authorship network connecting the top 25 collaborators of Edward De Brouwer. A scholar is included among the top collaborators of Edward De Brouwer 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 Edward De Brouwer. Edward De Brouwer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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