2026 Bernardo Cuenca Grau: 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	46	6688	6496	401	396	202	14002

Overview

Bernardo Cuenca Grau is affiliated with the University of Oxford in the United Kingdom. Their research activity spans primarily across the field of Computer Science, with a strong focus on Artificial Intelligence and related subfields including Computer Networks and Communications, Signal Processing, Computational Theory and Mathematics, and Information Systems.

The scientist's work concentrates on several key topics, notably:

Semantic Web and Ontologies
Advanced Database Systems and Queries
Logic, Reasoning, and Knowledge
Advanced Graph Neural Networks
Formal Methods in Verification
Data Management and Algorithms
Topic Modeling

They have published extensively, with frequent contributions to venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Artificial Intelligence
Theory and Practice of Logic Programming
Journal of Web Semantics

Recent papers by Bernardo Cuenca Grau include:

Benchmarking Ontology-Based Query Rewriting Systems, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
MeTeoR: Practical Reasoning in Datalog with Metric Temporal Operators, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
Stratified Negation in Datalog with Metric Temporal Operators, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
Efficient Embeddings of Logical Variables for Query Answering over Incomplete Knowledge Graphs, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
The delay and window size problems in rule-based stream reasoning, 2022, Artificial Intelligence

The scientist collaborates regularly with several coauthors, including:

Przemysław Andrzej Wałęga
Dingmin Wang
David J. Tena Cucala
Egor V. Kostylev
Ian Horrocks

Best Publications

Pellet: A practical OWL-DL reasoner

Evren Sirin;Bijan Parsia;Bernardo Cuenca Grau;Aditya Kalyanpur

4043
Citations
OWL 2: The next step for OWL

Bernardo Cuenca Grau;Ian Horrocks;Boris Motik;Bijan Parsia

1208
Citations
OWL 2 Web Ontology Language: Profiles

Bernardo Cuenca Grau

745
Citations
LogMap: logic-based and scalable ontology matching

Ernesto Jiménez-Ruiz;Bernardo Cuenca Grau

661
Citations
Modular reuse of ontologies: theory and practice

Bernardo Cuenca Grau;Ian Horrocks;Yevgeny Kazakov;Ulrike Sattler

559
Citations
Swoop: A Web Ontology Editing Browser

Aditya Kalyanpur;Bijan Parsia;Evren Sirin;Bernardo Cuenca Grau

467
Citations
Just the right amount: extracting modules from ontologies

Bernardo Cuenca Grau;Ian Horrocks;Yevgeny Kazakov;Ulrike Sattler

314
Citations
Repairing unsatisfiable concepts in OWL ontologies

Aditya Kalyanpur;Bijan Parsia;Evren Sirin;Bernardo Cuenca-Grau

273
Citations
A logical framework for modularity of ontologies

Bernardo Cuenca Grau;Ian Horrocks;Yevgeny Kazakov;Ulrike Sattler

218
Citations
Modularity and web ontologies

Bernardo Cuenca Grau;Bijan Parsia;Evren Sirin;Aditya Kalyanpur

202
Citations
Working with multiple ontologies on the semantic web

Bernardo Cuenca Grau;Bijan Parsia;Evren Sirin

191
Citations
Large-scale interactive ontology matching: algorithms and implementation

Ernesto Jiménez-Ruiz;Bernardo Cuenca Grau;Yujiao Zhou;Ian Horrocks

188
Citations
Combining OWL ontologies using E-Connections

Bernardo Cuenca Grau;Bijan Parsia;Evren Sirin

184
Citations
Pellet: A Practical OWL-DL Reasoner

Evren Sirin;Bijan Parsia;Bernardo Cuenca Grau;Bernardo Cuenca Grau;Aditya Kalyanpur

161
Citations
Safe and economic re-use of ontologies: a logic-based methodology and tool support

Ernesto Jiménez-Ruiz;Bernardo Cuenca Grau;Ulrike Sattler;Thomas Schneider

156
Citations
Ontology Integration Using Mappings: Towards Getting the Right Logical Consequences

Ernesto Jiménez-Ruiz;Bernardo Cuenca Grau;Ian Horrocks;Rafael Berlanga

155
Citations
Acyclicity notions for existential rules and their application to query answering in ontologies

Bernardo Cuenca Grau;Ian Horrocks;Markus Krötzsch;Clemens Kupke

137
Citations
Faceted search over RDF-based knowledge graphs

Marcelo Arenas;Bernardo Cuenca Grau;Evgeny Kharlamov;Šarunas Marciuška

136
Citations
MORe: modular combination of OWL reasoners for ontology classification

Ana Armas Romero;Bernardo Cuenca Grau;Ian Horrocks

131
Citations
Results of the ontology alignment evaluation initiative 2013

Bernardo Cuenca Grau;Zlatan Dragisic;Kai Eckert;Jérôme Euzenat

119
Citations
Results of the ontology alignment evaluation initiative 2014

Zlatan Dragisic;Kai Eckert;Jérôme Euzenat;Daniel Faria

103
Citations
OWL 2 Web Ontology Language: Direct Semantics

Bernardo Cuenca Grau

5
Citations

Frequent Co-Authors

Ian Horrocks University of Oxford

Ernesto Jiménez-Ruiz City, University of London

Boris Motik University of Oxford

Bijan Parsia University of Manchester

Evgeny Kharlamov University of Oslo

Ulrike Sattler University of Manchester

Evren Sirin University of Maryland, College Park

Aditya Kalyanpur Elemental Cognition

Marcelo Arenas Pontificia Universidad Católica de Chile

Peter F. Patel-Schneider Palo Alto Research Center

External Links

Personal website of Bernardo Cuenca Grau Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

As computer science continues to evolve, related fields offer exciting degree and career opportunities—many of which can now be pursued online. For those interested in environmental impact and sustainability, an online environmental engineering degree provides strong foundations in problem-solving and emerging green technologies.

If you’re drawn to the application of physics and design in practical settings, a mechanical engineering degree online cost is becoming more affordable, opening doors to careers in robotics, automotive industries, and manufacturing.

A bachelor of science in physics online offers flexibility to build theoretical knowledge, develop strong analytical skills, and break into research-intensive positions or technology-focused roles.

Lastly, as demand for data-driven decision-making grows across sectors, earning a data science degree online can be a strategic step for launching a career in analytics, machine learning, or big data.