Arnaud Sallaberry

28 papers and 255 indexed citations i.

About

Arnaud Sallaberry is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Signal Processing. According to data from OpenAlex, Arnaud Sallaberry has authored 28 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 10 papers in Statistical and Nonlinear Physics and 7 papers in Signal Processing. Recurrent topics in Arnaud Sallaberry’s work include Data Visualization and Analytics (16 papers), Complex Network Analysis Techniques (10 papers) and Data-Driven Disease Surveillance (5 papers). Arnaud Sallaberry is often cited by papers focused on Data Visualization and Analytics (16 papers), Complex Network Analysis Techniques (10 papers) and Data-Driven Disease Surveillance (5 papers). Arnaud Sallaberry collaborates with scholars based in France, United States and Pakistan. Arnaud Sallaberry's co-authors include Pascal Poncelet, Faraz Zaidi, Guy Mélançon, Dino Ienco, Andrea Tagarelli, Roberto Interdonato, Sandra Bringay, Mathieu Roche, Maguelonne Teisseire and David Auber and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Visualization and Computer Graphics and International Journal of Geographical Information Science.

In The Last Decade

Co-authorship network of co-authors of Arnaud Sallaberry i

Fields of papers citing papers by Arnaud Sallaberry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arnaud Sallaberry

Since Specialization
Citations

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