Inés Pacharoni

22 papers and 369 indexed citations i.

About

Inés Pacharoni is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics. According to data from OpenAlex, Inés Pacharoni has authored 22 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Applied Mathematics, 10 papers in Mathematical Physics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Inés Pacharoni’s work include Mathematical functions and polynomials (9 papers), Matrix Theory and Algorithms (7 papers) and Advanced Algebra and Geometry (7 papers). Inés Pacharoni is often cited by papers focused on Mathematical functions and polynomials (9 papers), Matrix Theory and Algorithms (7 papers) and Advanced Algebra and Geometry (7 papers). Inés Pacharoni collaborates with scholars based in Argentina, United States and France. Inés Pacharoni's co-authors include Juan Tirao, F. Alberto Grünbaum, Pablo Román, Roelof W. Bruggeman, Roberto J. Miatello and Calixto P. Calderón and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Journal of Functional Analysis and Linear Algebra and its Applications.

In The Last Decade

Co-authorship network of co-authors of Inés Pacharoni i

Fields of papers citing papers by Inés Pacharoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Inés Pacharoni

Since Specialization
Citations

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