Javier G. Castellano

About

Javier G. Castellano is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Javier G. Castellano has authored 25 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computational Theory and Mathematics. Recurrent topics in Javier G. Castellano’s work include Data Mining Algorithms and Applications (9 papers), Imbalanced Data Classification Techniques (9 papers) and Bayesian Modeling and Causal Inference (9 papers). Javier G. Castellano is often cited by papers focused on Data Mining Algorithms and Applications (9 papers), Imbalanced Data Classification Techniques (9 papers) and Bayesian Modeling and Causal Inference (9 papers). Javier G. Castellano collaborates with scholars based in Spain, Italy and United States. Javier G. Castellano's co-authors include Joaquín Abellán, Carlos J. Mantas, Luis M. de Campos, Pedro Á. Castillo, J. J. Merelo, Víctor M. Rivas, M. G. Arenas, Silvia Acid, Serafı́n Moral and Alfonso Montella and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Javier G. Castellano i

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Fields of papers citing papers by Javier G. Castellano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier G. Castellano. 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 G. Castellano. The network helps show where Javier G. Castellano may publish in the future.

Countries citing papers authored by Javier G. Castellano

Since Specialization

Citations

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