Francisco J. Prieto

28 papers and 800 indexed citations i.

About

Francisco J. Prieto is a scholar working on Numerical Analysis, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, Francisco J. Prieto has authored 28 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Numerical Analysis, 8 papers in Statistics and Probability and 7 papers in Computational Theory and Mathematics. Recurrent topics in Francisco J. Prieto’s work include Advanced Optimization Algorithms Research (9 papers), Advanced Statistical Methods and Models (8 papers) and Electric Power System Optimization (6 papers). Francisco J. Prieto is often cited by papers focused on Advanced Optimization Algorithms Research (9 papers), Advanced Statistical Methods and Models (8 papers) and Electric Power System Optimization (6 papers). Francisco J. Prieto collaborates with scholars based in Spain, United States and China. Francisco J. Prieto's co-authors include Daniel Peña, Antonio J. Conejo, Francisco J. Nogales, Javier M. Moguerza, Walter Murray, Jesús Juan, Laureano F. Escudero, Ulises Cortés, José de la Fuente and José Manuel Cabello and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and European Journal of Operational Research.

In The Last Decade

Co-authorship network of co-authors of Francisco J. Prieto i

Fields of papers citing papers by Francisco J. Prieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco J. Prieto. 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 Francisco J. Prieto. The network helps show where Francisco J. Prieto may publish in the future.

Countries citing papers authored by Francisco J. Prieto

Since Specialization
Citations

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