Carmen Lacave

22 papers and 329 indexed citations i.

About

Carmen Lacave is a scholar working on Computer Science Applications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Carmen Lacave has authored 22 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Science Applications, 7 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Carmen Lacave’s work include Online Learning and Analytics (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Teaching and Learning Programming (4 papers). Carmen Lacave is often cited by papers focused on Online Learning and Analytics (5 papers), Bayesian Modeling and Causal Inference (4 papers) and Teaching and Learning Programming (4 papers). Carmen Lacave collaborates with scholars based in Spain, Chile and Poland. Carmen Lacave's co-authors include Francisco Javier Díez, Ana I. Molina, Miguel Á. Redondo, José A. Cruz-Lemus, Manuel Ortega, David Vallejo, J. Ángel Velázquez‐Iturbide, Agnieszka Oniśko, Maximiliano Paredes Velasco and C. Glez-Morcillo and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Carmen Lacave i

Fields of papers citing papers by Carmen Lacave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carmen Lacave

Since Specialization
Citations

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