Marco Cuturi

50 papers and 3.5k indexed citations i.

About

Marco Cuturi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Applied Mathematics. According to data from OpenAlex, Marco Cuturi has authored 50 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 11 papers in Applied Mathematics. Recurrent topics in Marco Cuturi’s work include Optimal Transport in Geometry and Analysis (7 papers), Point processes and geometric inequalities (7 papers) and Machine Learning and Algorithms (6 papers). Marco Cuturi is often cited by papers focused on Optimal Transport in Geometry and Analysis (7 papers), Point processes and geometric inequalities (7 papers) and Machine Learning and Algorithms (6 papers). Marco Cuturi collaborates with scholars based in France, Japan and United States. Marco Cuturi's co-authors include Gabriel Peyré, Arnaud Doucet, Jean‐David Benamou, Guillaume Carlier, Luca Nenna, Nicolás García Trillos, Aaditya Ramdas, Mathieu Blondel, Jean‐Philippe Vert and Tao Du and has published in prestigious journals such as Nature, Bioinformatics and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Marco Cuturi i

Fields of papers citing papers by Marco Cuturi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Cuturi

Since Specialization
Citations

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