Javier de la Rosa

11 papers and 27 indexed citations i.

About

Javier de la Rosa is a scholar working on Artificial Intelligence, Literature and Literary Theory and Signal Processing. According to data from OpenAlex, Javier de la Rosa has authored 11 papers receiving a total of 27 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Literature and Literary Theory and 2 papers in Signal Processing. Recurrent topics in Javier de la Rosa’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers) and Digital Humanities and Scholarship (2 papers). Javier de la Rosa is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers) and Digital Humanities and Scholarship (2 papers). Javier de la Rosa collaborates with scholars based in Spain, Canada and The Netherlands. Javier de la Rosa's co-authors include Salvador Ros, David Brown, Julio Gonzalo, Fernando Sancho Caparrini and Per Egil Kummervold and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Leonardo.

In The Last Decade

Co-authorship network of co-authors of Javier de la Rosa i

Fields of papers citing papers by Javier de la Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier de la Rosa. 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 Javier de la Rosa. The network helps show where Javier de la Rosa may publish in the future.

Countries citing papers authored by Javier de la Rosa

Since Specialization
Citations

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