Victoria Paternostro

20 papers and 187 indexed citations i.

About

Victoria Paternostro is a scholar working on Applied Mathematics, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Victoria Paternostro has authored 20 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Applied Mathematics, 10 papers in Mathematical Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Victoria Paternostro’s work include Mathematical Analysis and Transform Methods (18 papers), Advanced Harmonic Analysis Research (5 papers) and Advanced Algebra and Geometry (5 papers). Victoria Paternostro is often cited by papers focused on Mathematical Analysis and Transform Methods (18 papers), Advanced Harmonic Analysis Research (5 papers) and Advanced Algebra and Geometry (5 papers). Victoria Paternostro collaborates with scholars based in Argentina, Spain and Germany. Victoria Paternostro's co-authors include Carlos Cabrelli, Eugenio Hernández, Davide Barbieri, Magalí Anastasio, Friedrich Philipp, Ursula Molter, Ezequiel Rela, Gitta Kutyniok and Luz Roncal and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Advances in Mathematics and Journal of Functional Analysis.

In The Last Decade

Co-authorship network of co-authors of Victoria Paternostro i

Fields of papers citing papers by Victoria Paternostro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victoria Paternostro

Since Specialization
Citations

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