Carlos Pedrinaci

26 papers and 410 indexed citations i.

About

Carlos Pedrinaci is a scholar working on Artificial Intelligence, Information Systems and Management Information Systems. According to data from OpenAlex, Carlos Pedrinaci has authored 26 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 21 papers in Information Systems and 10 papers in Management Information Systems. Recurrent topics in Carlos Pedrinaci’s work include QoS-Aware Web Services Composition and Semantic Matching (20 papers), Semantic Web and Ontologies (19 papers) and Business Process Modeling and Analysis (10 papers). Carlos Pedrinaci is often cited by papers focused on QoS-Aware Web Services Composition and Semantic Matching (20 papers), Semantic Web and Ontologies (19 papers) and Business Process Modeling and Analysis (10 papers). Carlos Pedrinaci collaborates with scholars based in United Kingdom, Spain and Germany. Carlos Pedrinaci's co-authors include John Domingue, Manuel Lama, Pablo Rodríguez-Mier, Manuel Mucientes, Maria Maleshkova, Stefan Dietze, Hong Qing Yu, Ana Karla Alves de Medeiros, Wil M. P. van der Aalst and Barry Norton and has published in prestigious journals such as Journal of Biomedical Informatics, IEEE Transactions on Services Computing and Journal of Web Semantics.

In The Last Decade

Co-authorship network of co-authors of Carlos Pedrinaci i

Fields of papers citing papers by Carlos Pedrinaci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos Pedrinaci

Since Specialization
Citations

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