Sira Ferradans

9 papers and 204 indexed citations i.

About

Sira Ferradans is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Sira Ferradans has authored 9 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Sira Ferradans’s work include Image Enhancement Techniques (3 papers), Color Science and Applications (2 papers) and Advanced Text Analysis Techniques (2 papers). Sira Ferradans is often cited by papers focused on Image Enhancement Techniques (3 papers), Color Science and Applications (2 papers) and Advanced Text Analysis Techniques (2 papers). Sira Ferradans collaborates with scholars based in France, United States and Burundi. Sira Ferradans's co-authors include Gabriel Peyré, Jean–François Aujol, Edoardo Provenzi, Nicolas Papadakis, Marcelo Bertalmı́o, Vicent Caselles, Gui-Song Xia, Marco Guerini, Lorenzo Gatti and Jacopo Staiano and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Imaging Sciences and SN Computer Science.

In The Last Decade

Co-authorship network of co-authors of Sira Ferradans i

Fields of papers citing papers by Sira Ferradans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sira Ferradans

Since Specialization
Citations

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