Celia Cintas

20 papers and 180 indexed citations i.

About

Celia Cintas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, Celia Cintas has authored 20 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Geometry and Topology. Recurrent topics in Celia Cintas’s work include Anomaly Detection Techniques and Applications (4 papers), Morphological variations and asymmetry (3 papers) and Image Processing and 3D Reconstruction (3 papers). Celia Cintas is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Morphological variations and asymmetry (3 papers) and Image Processing and 3D Reconstruction (3 papers). Celia Cintas collaborates with scholars based in Argentina, Mexico and France. Celia Cintas's co-authors include Claudio Delrieux, Rolando González‐José, Manuel Molinos Molinos, Carolina Paschetta, Soledad de Azevedo, Mirsha Quinto‐Sánchez, Caio César Silva de Cerqueira, Virgínia Ramallo, Girmaw Abebe Tadesse and Carla Gallo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Celia Cintas i

Fields of papers citing papers by Celia Cintas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Celia Cintas

Since Specialization
Citations

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