Carlos Cabrelli

59 papers and 839 indexed citations i.

About

Carlos Cabrelli is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carlos Cabrelli has authored 59 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Applied Mathematics, 24 papers in Mathematical Physics and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carlos Cabrelli’s work include Mathematical Analysis and Transform Methods (36 papers), Image and Signal Denoising Methods (14 papers) and Mathematical Dynamics and Fractals (12 papers). Carlos Cabrelli is often cited by papers focused on Mathematical Analysis and Transform Methods (36 papers), Image and Signal Denoising Methods (14 papers) and Mathematical Dynamics and Fractals (12 papers). Carlos Cabrelli collaborates with scholars based in Argentina, United States and Canada. Carlos Cabrelli's co-authors include Ursula Molter, Akram Aldroubi, Victoria Paternostro, Christopher Heil, Ronald W. Shonkwiler, Kathryn E. Hare, Sui Tang, Magalí Anastasio, Bruno Forte and Edward R. Vrscay and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Geophysics and Climate Dynamics.

In The Last Decade

Co-authorship network of co-authors of Carlos Cabrelli i

Fields of papers citing papers by Carlos Cabrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos Cabrelli

Since Specialization
Citations

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