Francisco Mugica

About

Francisco Mugica is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Francisco Mugica has authored 40 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Francisco Mugica’s work include Fuzzy Logic and Control Systems (14 papers), Neural Networks and Applications (9 papers) and Energy Load and Power Forecasting (5 papers). Francisco Mugica is often cited by papers focused on Fuzzy Logic and Control Systems (14 papers), Neural Networks and Applications (9 papers) and Energy Load and Power Forecasting (5 papers). Francisco Mugica collaborates with scholars based in Spain, Mexico and United States. Francisco Mugica's co-authors include Àngela Nebot, Sergio Jurado, Narcís Avellana, François E. Cellier, Félix Castro, Mihail Mihaylov, Montserrat Vallverdú, Alfredo Vellido, Franz Wotawa and Juan E. Peralta and has published in prestigious journals such as Energy, International Journal of Environmental Research and Public Health and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Francisco Mugica i

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Fields of papers citing papers by Francisco Mugica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisco Mugica

Since Specialization

Citations

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