Emmanuel Mazer

About

Emmanuel Mazer is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Emmanuel Mazer has authored 19 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Aerospace Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Emmanuel Mazer’s work include Bayesian Modeling and Causal Inference (6 papers), Robotic Path Planning Algorithms (5 papers) and Robotics and Sensor-Based Localization (5 papers). Emmanuel Mazer is often cited by papers focused on Bayesian Modeling and Causal Inference (6 papers), Robotic Path Planning Algorithms (5 papers) and Robotics and Sensor-Based Localization (5 papers). Emmanuel Mazer collaborates with scholars based in France, Mexico and Italy. Emmanuel Mazer's co-authors include Pierre Bessìère, Julien Diard, Tomás Lozano‐Pérez, Patrick A. O'Donnell, Joseph L. Jones, Olivier Lebeltel, Kamel Mekhnacha, Juan-Manuel Ahuactzin, Kamal Gupta and El‐Ghazali Talbi and has published in prestigious journals such as The International Journal of Robotics Research, Computer and IEEE Transactions on Nuclear Science.

In The Last Decade

Co-authorship network of co-authors of Emmanuel Mazer i

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Fields of papers citing papers by Emmanuel Mazer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emmanuel Mazer

Since Specialization

Citations

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