Alberto Rivas

22 papers and 372 indexed citations i.

About

Alberto Rivas is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Alberto Rivas has authored 22 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Alberto Rivas’s work include Formal Methods in Verification (7 papers), AI-based Problem Solving and Planning (6 papers) and Logic, Reasoning, and Knowledge (4 papers). Alberto Rivas is often cited by papers focused on Formal Methods in Verification (7 papers), AI-based Problem Solving and Planning (6 papers) and Logic, Reasoning, and Knowledge (4 papers). Alberto Rivas collaborates with scholars based in Spain, Canada and Malaysia. Alberto Rivas's co-authors include Pablo Chamoso, Sheila A. McIlraith, Alfonso González‐Briones, Juan M. Corchado, Christian Muise, Jorge A. Baier, Sara Rodrı́guez, Javier Bajo, Guillermo Hernández and Javier Prieto and has published in prestigious journals such as PLoS ONE, Sensors and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Alberto Rivas i

Fields of papers citing papers by Alberto Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Rivas

Since Specialization
Citations

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