Raúl García‐Castro
- Information Systems top 2%
- Service-Oriented Architecture and Web Services 51
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 63
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- Data Quality and Management 7
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- Advanced Database Systems and Queries 8
- IoT and Edge/Fog Computing 7
- Building and Construction top 5%
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- Business Process Modeling and Analysis 12
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- Biomedical Text Mining and Ontologies 10
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- Context-Aware Activity Recognition Systems 6
- Co-authors
- Asuncíon Gómez-PérezMaría Poveda‐VillalónÓscar CorchoNandana MihindukulasooriyaJames O’DonnellMaxime LefrançoisKrzysztof JanowiczSimón Cox
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Raúl García‐Castro
95 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Information Systems 426
- Artificial Intelligence 588
- Management Science and Operations Research 151
- Computer Networks and Communications 272
- Building and Construction 149
Countries citing papers authored by Raúl García‐Castro
This map shows the geographic impact of Raúl García‐Castro'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 Raúl García‐Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raúl García‐Castro more than expected).
Fields of papers citing papers by Raúl García‐Castro
This network shows the impact of papers produced by Raúl García‐Castro. 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 Raúl García‐Castro. The network helps show where Raúl García‐Castro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raúl García‐Castro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 25 | |
| 10 | 2022 | 11 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 40 | |
| 14 | 2018 | 41 | |
| 15 | 2018 | 37 | |
| 16 | 2017 | 15 | |
| 17 | Ontology-Based Learner Categorization through Case Based Reasoning and Fuzzy Logic. | 2017 | 3 |
| 18 | ICT Road map for supporting energy systems in smart cities | 2014 | 1 |
| 19 | SEALS: Semantic Evaluation At Large Scale | 2009 | 1 |
| 20 | Benchmarking the RDF(S) interoperability of ontology tools | 2007 | 5 |
About Raúl García‐Castro
Raúl García‐Castro is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems, having authored 103 papers that have together received 1.2k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (63 papers), Service-Oriented Architecture and Web Services (51 papers), Business Process Modeling and Analysis (12 papers), Biomedical Text Mining and Ontologies (10 papers), Advanced Database Systems and Queries (8 papers), IoT and Edge/Fog Computing (7 papers), Data Quality and Management (7 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Information Systems (426 citations), Artificial Intelligence (588 citations) and Management Science and Operations Research (151 citations). Raúl García‐Castro has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Asuncíon Gómez-Pérez, María Poveda‐Villalón, Óscar Corcho, Nandana Mihindukulasooriya, James O’Donnell, Maxime Lefrançois, Krzysztof Janowicz, Simón Cox, Kerry Taylor and Danh Le-Phuoc. Their work appears in journals such as IEEE Access, Sensors and Energy and Buildings.
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.