Francisca Rosique

16 papers and 322 indexed citations i.

About

Francisca Rosique is a scholar working on Software, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francisca Rosique has authored 16 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Software, 5 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francisca Rosique’s work include Model-Driven Software Engineering Techniques (7 papers), Advanced Software Engineering Methodologies (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Francisca Rosique is often cited by papers focused on Model-Driven Software Engineering Techniques (7 papers), Advanced Software Engineering Methodologies (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Francisca Rosique collaborates with scholars based in Spain, Italy and Colombia. Francisca Rosique's co-authors include Pedro Navarro, Antonio Padilla Meléndez, Carlos Fernández, Pedro Sánchez, Bárbara Álvarez, Manuel Jiménez Buendía, Andrés Iborra, Fernando Losilla, Juan Ángel Pastor Franco and Ambrosio Toval and has published in prestigious journals such as Sensors, IEEE Transactions on Computers and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Francisca Rosique i

Fields of papers citing papers by Francisca Rosique

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisca Rosique

Since Specialization
Citations

This map shows the geographic impact of Francisca Rosique'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 Francisca Rosique with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisca Rosique 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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2025