Mathieu Carrière

About

Mathieu Carrière is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Mathematical Physics. According to data from OpenAlex, Mathieu Carrière has authored 9 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Mathematical Physics. Recurrent topics in Mathieu Carrière’s work include Topological and Geometric Data Analysis (8 papers), Homotopy and Cohomology in Algebraic Topology (3 papers) and Digital Image Processing Techniques (2 papers). Mathieu Carrière is often cited by papers focused on Topological and Geometric Data Analysis (8 papers), Homotopy and Cohomology in Algebraic Topology (3 papers) and Digital Image Processing Techniques (2 papers). Mathieu Carrière collaborates with scholars based in France, United States and Germany. Mathieu Carrière's co-authors include Steve Oudot, Maks Ovsjanikov, Christopher Morash, Ronald G. Gerridzen, Mark Preston, Steve Doucette, Ilias Cagiannos, James A. Eastham, Peter T. Scardino and Anthony J Bella and has published in prestigious journals such as European Urology, BMC Bioinformatics and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Mathieu Carrière

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Carrière. A scholar is included among the top collaborators of Mathieu Carrière 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 Mathieu Carrière. Mathieu Carrière is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Mathieu Carrière

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mathieu Carrière

Since Specialization

Citations

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

Explore authors with similar magnitude of impact