Emmanuel de Bézenac

33 total papers · 421 total citations
7 papers, 126 citations indexed

About

Emmanuel de Bézenac is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Emmanuel de Bézenac has authored 7 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Statistical and Nonlinear Physics and 2 papers in Signal Processing. Recurrent topics in Emmanuel de Bézenac's work include Model Reduction and Neural Networks (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Time Series Analysis and Forecasting (2 papers). Emmanuel de Bézenac is often cited by papers focused on Model Reduction and Neural Networks (3 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Time Series Analysis and Forecasting (2 papers). Emmanuel de Bézenac collaborates with scholars based in France, United States and Germany. Emmanuel de Bézenac's co-authors include Patrick Gallinari, Nicolas Thome, Yuan Yin, Syama Sundar Rangapuram, Tim Januschowski, Patrick Gallinari, Lorenzo Stella, Michael Bohlke‐Schneider, Konstantinos Benidis and Jan Gasthaus and has published in prestigious journals such as Machine Learning, Journal of Statistical Mechanics Theory and Experiment and Neural Information Processing Systems.

In The Last Decade

Emmanuel de Bézenac

7 papers receiving 122 citations

Author Peers

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

Author Last Decade Papers Cites
Emmanuel de Bézenac 46 28 23 21 21 7 126
Hans Georg Zimmermann 116 2.5× 12 0.4× 30 1.3× 19 0.9× 15 0.7× 6 188
Jingyang Yuan 88 1.9× 13 0.5× 36 1.6× 14 0.7× 15 0.7× 9 166
Ricky T. Q. Chen 120 2.6× 57 2.0× 50 2.2× 31 1.5× 15 0.7× 8 203
Arin Chaudhuri 67 1.5× 6 0.2× 12 0.5× 18 0.9× 11 0.5× 9 190
Zhanhao Zhang 51 1.1× 6 0.2× 28 1.2× 8 0.4× 18 0.9× 8 167
Ji-Ho Cho 46 1.0× 8 0.3× 71 3.1× 31 1.5× 24 1.1× 12 238
Sami Viitanen 106 2.3× 9 0.3× 16 0.7× 5 0.2× 15 0.7× 7 247
Anton Maximilian Schäfer 115 2.5× 18 0.6× 6 0.3× 7 0.3× 41 2.0× 5 190
Emilien Dupont 83 1.8× 15 0.5× 41 1.8× 9 0.4× 10 0.5× 9 247
Elnaz Barshan 87 1.9× 5 0.2× 92 4.0× 23 1.1× 12 0.6× 7 234

Countries citing papers authored by Emmanuel de Bézenac

Since Specialization
Citations

This map shows the geographic impact of Emmanuel de Bézenac'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 Emmanuel de Bézenac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel de Bézenac more than expected).

Fields of papers citing papers by Emmanuel de Bézenac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel de Bézenac. 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 Emmanuel de Bézenac. The network helps show where Emmanuel de Bézenac may publish in the future.

Co-authorship network of co-authors of Emmanuel de Bézenac

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel de Bézenac. A scholar is included among the top collaborators of Emmanuel de Bézenac 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 Emmanuel de Bézenac. Emmanuel de Bézenac 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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