Mónica Pinto

54 papers and 305 indexed citations i.

About

Mónica Pinto is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mónica Pinto has authored 54 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 34 papers in Information Systems and 23 papers in Computer Networks and Communications. Recurrent topics in Mónica Pinto’s work include Advanced Software Engineering Methodologies (42 papers), QoS-Aware Web Services Composition and Semantic Matching (25 papers) and Software System Performance and Reliability (18 papers). Mónica Pinto is often cited by papers focused on Advanced Software Engineering Methodologies (42 papers), QoS-Aware Web Services Composition and Semantic Matching (25 papers) and Software System Performance and Reliability (18 papers). Mónica Pinto collaborates with scholars based in Spain, United Kingdom and Sweden. Mónica Pinto's co-authors include Lidia Fuentes, José-Miguel Horcas, Roberto E. Lopez-Herrejon, Alexander Egyed, Don Batory, Daniel Jiménez, Mercedes Amor, José M. Troya, Daniel A. Jiménez and Antonio Vallecillo and has published in prestigious journals such as Sensors, IEEE Access and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Mónica Pinto i

Fields of papers citing papers by Mónica Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mónica Pinto

Since Specialization
Citations

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