Carlos R. Rivero

18 papers and 124 indexed citations i.

About

Carlos R. Rivero is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Carlos R. Rivero has authored 18 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Information Systems and 7 papers in Management Science and Operations Research. Recurrent topics in Carlos R. Rivero’s work include Semantic Web and Ontologies (8 papers), Data Quality and Management (7 papers) and Web Data Mining and Analysis (6 papers). Carlos R. Rivero is often cited by papers focused on Semantic Web and Ontologies (8 papers), Data Quality and Management (7 papers) and Web Data Mining and Analysis (6 papers). Carlos R. Rivero collaborates with scholars based in Spain, United States and Chile. Carlos R. Rivero's co-authors include David Ruiz, Rafael Corchuelo, Hasan M. Jamil, Daniel Ayala and Rafael Ayala and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Knowledge-Based Systems and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Carlos R. Rivero i

Fields of papers citing papers by Carlos R. Rivero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos R. Rivero

Since Specialization
Citations

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