Jean-Charles Noyer

27 papers and 190 indexed citations i.

About

Jean-Charles Noyer is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jean-Charles Noyer has authored 27 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Aerospace Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jean-Charles Noyer’s work include Target Tracking and Data Fusion in Sensor Networks (13 papers), Indoor and Outdoor Localization Technologies (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). Jean-Charles Noyer is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (13 papers), Indoor and Outdoor Localization Technologies (7 papers) and Gaussian Processes and Bayesian Inference (6 papers). Jean-Charles Noyer collaborates with scholars based in France, United States and Lebanon. Jean-Charles Noyer's co-authors include C. Boucher, Mohammed Benjelloun, Yan Zhai, Cina Motamed, Joseph Havlicek, Mark Yeary, Ahmad Shahin, Ghaleb Faour, Shamim Nemati and Yiwei Zhai and has published in prestigious journals such as Sensors, Pattern Recognition and IEEE Transactions on Vehicular Technology.

In The Last Decade

Co-authorship network of co-authors of Jean-Charles Noyer i

Fields of papers citing papers by Jean-Charles Noyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Charles Noyer. 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 Jean-Charles Noyer. The network helps show where Jean-Charles Noyer may publish in the future.

Countries citing papers authored by Jean-Charles Noyer

Since Specialization
Citations

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

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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2025