Pablo Castells

69 papers and 1.6k indexed citations i.

About

Pablo Castells is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Pablo Castells has authored 69 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Information Systems, 36 papers in Artificial Intelligence and 20 papers in Management Science and Operations Research. Recurrent topics in Pablo Castells’s work include Recommender Systems and Techniques (45 papers), Advanced Bandit Algorithms Research (19 papers) and Topic Modeling (13 papers). Pablo Castells is often cited by papers focused on Recommender Systems and Techniques (45 papers), Advanced Bandit Algorithms Research (19 papers) and Topic Modeling (13 papers). Pablo Castells collaborates with scholars based in Spain, United Kingdom and United States. Pablo Castells's co-authors include Saúl Vargas, Iván Cantador, David Vallet, Alejandro Bellogín, Miriam Fernández, Vanessa López, Enrico Motta, José A. Macías, Enrique Alfonseca and María Ruiz-Casado and has published in prestigious journals such as Computers in Human Behavior, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Pablo Castells i

Fields of papers citing papers by Pablo Castells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pablo Castells

Since Specialization
Citations

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