Víctor Pereyra

64 papers and 3.0k indexed citations i.

About

Víctor Pereyra is a scholar working on Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Víctor Pereyra has authored 64 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Numerical Analysis, 20 papers in Computational Mechanics and 19 papers in Computational Theory and Mathematics. Recurrent topics in Víctor Pereyra’s work include Numerical methods for differential equations (16 papers), Matrix Theory and Algorithms (13 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Víctor Pereyra is often cited by papers focused on Numerical methods for differential equations (16 papers), Matrix Theory and Algorithms (13 papers) and Advanced Numerical Methods in Computational Mathematics (12 papers). Víctor Pereyra collaborates with scholars based in United States, Venezuela and United Kingdom. Víctor Pereyra's co-authors include Gene H. Golub, Åke Björck, M. Lentini, Herbert B. Keller, G. Scherer, W. H. K. Lee, Giuliano Galimberti, Linda Kaufman, Juan J. Alonso and Włodzimierz Proskurowski and has published in prestigious journals such as Technometrics, Mathematics of Computation and Geophysical Journal International.

In The Last Decade

Co-authorship network of co-authors of Víctor Pereyra i

Fields of papers citing papers by Víctor Pereyra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Víctor Pereyra

Since Specialization
Citations

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