Pedro Cabalar
Impact in
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Logic, Reasoning, and Knowledge 41
- Multi-Agent Systems and Negotiation 24
- Semantic Web and Ontologies 18
- Logic, programming, and type systems 15
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- Advanced Algebra and Logic 13
- Co-authors
- Gilberto Pérez (12 shared papers)Jun Jie Ong (4 shared papers)Álvaro Goyanes (4 shared papers)Abdul W. Basit (4 shared papers)Simon Gaisford (3 shared papers)Moe Elbadawi (2 shared papers)Paolo Ferraris (1 shared paper)Francesca K. H. Gavins (1 shared paper)
In The Last Decade
Pedro Cabalar
45 papers receiving 590 citations
Peers
Comparison fields: 5 of 93
- Automotive Engineering 211
- Health Informatics 9
- Artificial Intelligence 202
- Biomedical Engineering 278
- Computational Theory and Mathematics 91
Countries citing papers authored by Pedro Cabalar
This map shows the geographic impact of Pedro Cabalar'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 Pedro Cabalar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Cabalar more than expected).
Fields of papers citing papers by Pedro Cabalar
This network shows the impact of papers produced by Pedro Cabalar. 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 Pedro Cabalar. The network helps show where Pedro Cabalar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro Cabalar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 154 | |
| 2 | 2021 | 128 | |
| 3 | 2022 | 61 | |
| 4 | 2023 | 41 | |
| 5 | 2007 | 35 | |
| 6 | 2011 | 19 | |
| 7 | 2013 | 13 | |
| 8 | 2010 | 11 | |
| 9 | 2006 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2014 | 10 | |
| 12 | 2018 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2007 | 8 | |
| 15 | 2015 | 6 | |
| 16 | 2008 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2011 | 5 |
About Pedro Cabalar
Pedro Cabalar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Signal Processing and Automotive Engineering, having authored 52 papers that have together received 611 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (41 papers), Multi-Agent Systems and Negotiation (24 papers), Semantic Web and Ontologies (18 papers), Logic, programming, and type systems (15 papers), Advanced Algebra and Logic (13 papers), Constraint Satisfaction and Optimization (8 papers), Data Management and Algorithms (6 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). The work is most often cited by research in Automotive Engineering (211 citations), Health Informatics (9 citations), Artificial Intelligence (202 citations), Biomedical Engineering (278 citations) and Computational Theory and Mathematics (91 citations). Pedro Cabalar has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include Gilberto Pérez, Jun Jie Ong, Álvaro Goyanes, Abdul W. Basit, Simon Gaisford, Moe Elbadawi, Paolo Ferraris, Francesca K. H. Gavins, Paulo E. Santos and Jorge Fandinno. Their work appears in journals such as Theory and Practice of Logic Programming, Artificial Intelligence, Journal of Applied Non-Classical Logics, International Journal of Pharmaceutics X and Logic Journal of IGPL.
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.