Antonio LaTorre

46 papers and 1.1k indexed citations i.

About

Antonio LaTorre is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Antonio LaTorre has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 16 papers in Computational Theory and Mathematics and 5 papers in Plant Science. Recurrent topics in Antonio LaTorre’s work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Evolutionary Algorithms and Applications (14 papers). Antonio LaTorre is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Evolutionary Algorithms and Applications (14 papers). Antonio LaTorre collaborates with scholars based in Spain, United Kingdom and Italy. Antonio LaTorre's co-authors include José-María Peña, Santiago Muelas, Daniel Molina, Francisco Herrera, Eneko Osaba, Javier Del Ser, Manuel Jamilena, Rafael Lozano, Nuria Molinero‐Rosales and C. Valencia and has published in prestigious journals such as Expert Systems with Applications, International Journal for Numerical Methods in Engineering and Planta.

In The Last Decade

Co-authorship network of co-authors of Antonio LaTorre i

Fields of papers citing papers by Antonio LaTorre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonio LaTorre

Since Specialization
Citations

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