Ricard Gavaldà

About

Ricard Gavaldà is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Ricard Gavaldà has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 22 papers in Computer Networks and Communications and 20 papers in Computational Theory and Mathematics. Recurrent topics in Ricard Gavaldà’s work include Machine Learning and Algorithms (20 papers), Optimization and Search Problems (9 papers) and semigroups and automata theory (9 papers). Ricard Gavaldà is often cited by papers focused on Machine Learning and Algorithms (20 papers), Optimization and Search Problems (9 papers) and semigroups and automata theory (9 papers). Ricard Gavaldà collaborates with scholars based in Spain, Japan and United States. Ricard Gavaldà's co-authors include Albert Bifet, Bernhard Pfahringer, Jordi Torres, Geoffrey Holmes, Richard Kirkby, Josep Ll. Berral, Osamu Watanabe, Íñigo Goiri, Hava T. Siegelmann and Ferran Julià and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and Nutrients.

In The Last Decade

Co-authorship network of co-authors of Ricard Gavaldà i

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Fields of papers citing papers by Ricard Gavaldà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ricard Gavaldà

Since Specialization

Citations

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