Émile Mathieu

5 papers and 55 indexed citations i.

About

Émile Mathieu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Émile Mathieu has authored 5 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Ecology. Recurrent topics in Émile Mathieu’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Analysis and Summarization (1 paper). Émile Mathieu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Video Analysis and Summarization (1 paper). Émile Mathieu collaborates with scholars based in United Kingdom, Chile and United States. Émile Mathieu's co-authors include Yee Whye Teh, N. Siddharth, Tom Rainforth, E.J. Milner‐Gulland, Rodrigo Oyanedel, Charline Le Lan, Chris J. Maddison, Stefan Gelcich and Ryota Tomioka and has published in prestigious journals such as Conservation Biology, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Émile Mathieu i

Fields of papers citing papers by Émile Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Émile Mathieu

Since Specialization
Citations

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