Geoffrey Cideron

19 total papers · 867 total citations
3 papers, 12 citations indexed

About

Geoffrey Cideron is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Geoffrey Cideron has authored 3 papers receiving a total of 12 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Geoffrey Cideron's work include Reinforcement Learning in Robotics (2 papers), Adaptive Dynamic Programming Control (1 paper) and Speech Recognition and Synthesis (1 paper). Geoffrey Cideron is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Adaptive Dynamic Programming Control (1 paper) and Speech Recognition and Synthesis (1 paper). Geoffrey Cideron collaborates with scholars based in United States, France and Israel. Geoffrey Cideron's co-authors include Olivier Pietquin, Florian Strub, Olivier Sigaud, Karim Beguir, Johan Ferret, Orgad Keller, Piotr Stańczyk, Nicolas Perrin, Nino Vieillard and Olivier Bachem and has published in prestigious journals such as SPIRE - Sciences Po Institutional REpository.

In The Last Decade

Geoffrey Cideron

3 papers receiving 12 citations

Author Peers

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

Author Last Decade Papers Cites
Geoffrey Cideron 11 3 2 1 1 3 12
Gregor Koehler 9 0.8× 3 1.0× 1 0.5× 1 1.0× 3 16
Juraj Gottweis 7 0.6× 2 0.7× 1 0.5× 1 1.0× 3 9
Nestor Maslej 4 0.4× 3 1.0× 2 1.0× 2 10
Zhiyi Ma 13 1.2× 2 1.0× 3 13
Happy Buzaaba 9 0.8× 2 1.0× 3 11
Renee Wong 5 0.5× 2 0.7× 1 1.0× 2 11
Sahar Alkhairy 5 0.5× 2 0.7× 1 1.0× 2 16
Misha Khalman 8 0.7× 2 1.0× 2 9
H. J. Moss 12 1.1× 1 0.3× 3 1.5× 3 16
Alex Alemi 7 0.6× 2 1.0× 2 13

Countries citing papers authored by Geoffrey Cideron

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey Cideron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey Cideron. 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 Geoffrey Cideron. The network helps show where Geoffrey Cideron may publish in the future.

Co-authorship network of co-authors of Geoffrey Cideron

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Cideron. A scholar is included among the top collaborators of Geoffrey Cideron 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 Geoffrey Cideron. Geoffrey Cideron 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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