2026 Pablo Castells: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	50	5671	5511	73	71	177	8775

Research.com Recognitions

2025 - Research.com Computer Science in Spain Leader Award
2022 - Research.com Computer Science in Spain Leader Award

Overview

Pablo Castells is affiliated with the Autonomous University of Madrid in Spain. Their research primarily spans the fields of Computer Science and Decision Sciences, with a particular focus on subfields including Information Systems, Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, and Computer Science Applications.

Their work concentrates on topics such as Recommender Systems and Techniques, Advanced Bandit Algorithms Research, Complex Network Analysis Techniques, Topic Modeling, Advanced Graph Neural Networks, Expert Finding and Q&A Systems, and Mobile Crowdsensing and Crowdsourcing.

Castells has published a range of papers that explore various aspects of recommender systems and information retrieval. Selected recent publications include:

Offline evaluation options for recommender systems, 2020, Information Retrieval
Assessing ranking metrics in top-N recommendation, 2020, Information Retrieval
Offline recommender system evaluation: Challenges and new directions, 2022, AI Magazine
Popularity Bias in False-positive Metrics for Recommender Systems Evaluation, 2021, ACM Transactions on Information Systems
Effective contact recommendation in social networks by adaptation of information retrieval models, 2020, Information Processing & Management

The frequent co-authors of Castells include Yongli Ren, Mark Sanderson, Javier Sanz-Cruzado, Rocío Cañamares, and Maurizio Ferrari Dacrema, each having contributed to multiple joint works.

Their publications appear predominantly in venues such as Information Retrieval, the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, the Proceedings of the 31st ACM International Conference on Information & Knowledge Management, arXiv (Cornell University), and ACM Transactions on Recommender Systems.

In addition to journal and conference papers, Pablo Castells has contributed to book publications, including a title published by Springer Science+Business Media: Advances in Information Retrieval (2020).

Best Publications

Rank and relevance in novelty and diversity metrics for recommender systems

Saúl Vargas;Pablo Castells

834
Citations
An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval

P. Castells;M. Fernandez;D. Vallet

659
Citations
An ontology-based information retrieval model

David Vallet;Miriam Fernández;Pablo Castells

431
Citations
Semantically enhanced Information Retrieval: An ontology-based approach

Miriam Fernández;Iván Cantador;Vanesa López;David Vallet

387
Citations
Novelty and Diversity in Recommender Systems

Pablo Castells;Neil J. Hurley;Saul Vargas

345
Citations
Declarative interface models for user interface construction tools: the MASTERMIND approach

Pedro A. Szekely;Piyawadee Noi Sukaviriya;Pablo Castells;Jeyakumar Muthukumarasamy

304
Citations
Precision-oriented evaluation of recommender systems: an algorithmic comparison

Alejandro Bellogin;Pablo Castells;Ivan Cantador

262
Citations
Automatic assignment of wikipedia encyclopedic entries to wordnet synsets

Maria Ruiz-Casado;Enrique Alfonseca;Pablo Castells

210
Citations
Statistical biases in Information Retrieval metrics for recommender systems

Alejandro Bellogín;Pablo Castells;Iván Cantador

186
Citations
Coverage, redundancy and size-awareness in genre diversity for recommender systems

Saúl Vargas;Linas Baltrunas;Alexandros Karatzoglou;Pablo Castells

172
Citations
Personalized Content Retrieval in Context Using Ontological Knowledge

D. Vallet;P. Castells;M. Fernandez;P. Mylonas

163
Citations
A multilayer ontology-based hybrid recommendation model

Iván Cantador;Alejandro Bellogín;Pablo Castells

162
Citations
Automatising the learning of lexical patterns: An application to the enrichment of WordNet by extracting semantic relationships from Wikipedia

Maria Ruiz-Casado;Enrique Alfonseca;Pablo Castells

156
Citations
Automatic extraction of semantic relationships for wordnet by means of pattern learning from wikipedia

Maria Ruiz-Casado;Enrique Alfonseca;Pablo Castells

155
Citations
Novelty and diversity metrics for recommender systems: Choice, discovery and relevance

Pablo Castells;Saúl Vargas;Jun Wang

154
Citations
Improving sales diversity by recommending users to items

Saúl Vargas;Pablo Castells

139
Citations
Ontology-Based Personalised and Context-Aware Recommendations of News Items

Iván Cantador;Alejandro Bellogín;Pablo Castells

133
Citations
Should I Follow the Crowd?: A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems

Rocío Cañamares;Pablo Castells

131
Citations
Personalized information retrieval based on context and ontological knowledge

Ph. Mylonas;D. Vallet;P. Castells;M. FernÁndez

120
Citations
An empirical comparison of social, collaborative filtering, and hybrid recommenders

Alejandro Bellogín;Iván Cantador;Fernando Díez;Pablo Castells

113
Citations
Semantic Search Meets the Web

M. Fernandez;V. Lopez;M. Sabou;V. Uren

111
Citations
Proceedings of the 10th ACM Conference on Recommender Systems

Shilad Sen;Werner Geyer;Jill Freyne;Pablo Castells

90
Citations

Frequent Co-Authors

Iván Cantador Autonomous University of Madrid

Yannis Avrithis Institute of Advanced Research on Artificial Intelligence (IARAI)

Pedro Szekely Amazon (United States)

Domonkos Tikk Gravity Research & Development Zrt.

Joemon M. Jose University of Glasgow

Mounia Lalmas Spotify

Enrico Motta The Open University

Werner Geyer IBM (United States)

Bernardo Magnini Fondazione Bruno Kessler

Norbert Fuhr University of Duisburg-Essen

External Links

Personal website of Pablo Castells Google Scholar page

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