Francisco de Toro

7 papers and 259 indexed citations i.

About

Francisco de Toro is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Francisco de Toro has authored 7 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Francisco de Toro’s work include Vehicle Routing Optimization Methods (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (2 papers). Francisco de Toro is often cited by papers focused on Vehicle Routing Optimization Methods (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Evolutionary Algorithms and Applications (2 papers). Francisco de Toro collaborates with scholars based in Spain and Palestine. Francisco de Toro's co-authors include Julio Ortega, C. Gil, Raúl Baños, A. L. Márquez, Antonio Fernández, Ignacio Rojas, Eduardo Ros and J. Aroba and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Francisco de Toro i

Fields of papers citing papers by Francisco de Toro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisco de Toro

Since Specialization
Citations

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