Rosalía Laza

28 papers and 250 indexed citations i.

About

Rosalía Laza is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Rosalía Laza has authored 28 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 7 papers in Information Systems. Recurrent topics in Rosalía Laza’s work include AI-based Problem Solving and Planning (6 papers), Text and Document Classification Technologies (5 papers) and Spam and Phishing Detection (5 papers). Rosalía Laza is often cited by papers focused on AI-based Problem Solving and Planning (6 papers), Text and Document Classification Technologies (5 papers) and Spam and Phishing Detection (5 papers). Rosalía Laza collaborates with scholars based in Spain and Portugal. Rosalía Laza's co-authors include Reyes Pavón, Juan M. Corchado, Florentino Fdez‐Riverola, Miguel Reboiro‐Jato, Ántónio Pereira, Fernando Díaz, David Ruano-Ordás, José R. Méndez, M. Victoria Luzón and Patrício Domingues and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Rosalía Laza i

Fields of papers citing papers by Rosalía Laza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosalía Laza

Since Specialization
Citations

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