Pablo Ezzatti

38 papers and 181 indexed citations i.

About

Pablo Ezzatti is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Statistical and Nonlinear Physics. According to data from OpenAlex, Pablo Ezzatti has authored 38 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computational Theory and Mathematics, 19 papers in Hardware and Architecture and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Pablo Ezzatti’s work include Matrix Theory and Algorithms (21 papers), Parallel Computing and Optimization Techniques (19 papers) and Numerical Methods and Algorithms (12 papers). Pablo Ezzatti is often cited by papers focused on Matrix Theory and Algorithms (21 papers), Parallel Computing and Optimization Techniques (19 papers) and Numerical Methods and Algorithms (12 papers). Pablo Ezzatti collaborates with scholars based in Uruguay, Spain and Germany. Pablo Ezzatti's co-authors include Enrique S. Quintana–Ort́ı, Peter Benner, Martín Pedemonte, Pedro Curto-Risso, A. Calvo Hernández, A. Medina, Daniel Kreßner, José I. Aliaga, Jens Saak and Federico Favaro and has published in prestigious journals such as Energy Conversion and Management, Computers & Operations Research and Journal of Parallel and Distributed Computing.

In The Last Decade

Co-authorship network of co-authors of Pablo Ezzatti i

Fields of papers citing papers by Pablo Ezzatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Ezzatti

Since Specialization
Citations

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