Arnaud Gelas

13 papers and 308 indexed citations i.

About

Arnaud Gelas is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Arnaud Gelas has authored 13 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Biophysics and 4 papers in Molecular Biology. Recurrent topics in Arnaud Gelas’s work include Medical Image Segmentation Techniques (8 papers), Cell Image Analysis Techniques (7 papers) and AI in cancer detection (3 papers). Arnaud Gelas is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Cell Image Analysis Techniques (7 papers) and AI in cancer detection (3 papers). Arnaud Gelas collaborates with scholars based in United States, France and Japan. Arnaud Gelas's co-authors include Sean G. Megason, Kishore Mosaliganti, Nikolaus D. Obholzer, Fengzhu Xiong, Ian A. Swinburne, Andrea R. Tentner, R. Prost, Denis Friboulet, Olivier Bernard and Alexander F. Schier and has published in prestigious journals such as Cell, IEEE Transactions on Image Processing and Lecture notes in computer science.

In The Last Decade

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

Fields of papers citing papers by Arnaud Gelas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arnaud Gelas

Since Specialization
Citations

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

Rankless by CCL
2025