Robert Piro
Impact in
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
- Logic, programming, and type systems
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- Advanced Database Systems and Queries
Papers in
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- Semantic Web and Ontologies 9
- Logic, Reasoning, and Knowledge 6
- Natural Language Processing Techniques 3
- Logic, programming, and type systems 1
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- Advanced Database Systems and Queries 7
- Co-authors
- Ian Horrocks (6 shared papers)Yavor Nenov (6 shared papers)Boris Motik (6 shared papers)Frank Wolter (3 shared papers)Dan Olteanu (2 shared papers)Carsten Lutz (3 shared papers)Martin Otto (1 shared paper)Frank van Harmelen (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Semantic Web (1 paper)Oxford University Research Archive (ORA) (University of Oxford) (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Robert Piro
11 papers receiving 161 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 155
- Computer Networks and Communications 81
- Signal Processing 23
- Information Systems 42
- Software 7
Countries citing papers authored by Robert Piro
This map shows the geographic impact of Robert Piro'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 Robert Piro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Piro more than expected).
Fields of papers citing papers by Robert Piro
This network shows the impact of papers produced by Robert Piro. 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 Robert Piro. The network helps show where Robert Piro may publish in the future.
Co-authors
The 10 scholars most cited alongside Robert Piro, 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 | 2014 | 65 | |
| 2 | 2015 | 29 | |
| 3 | 2011 | 27 | |
| 4 | 2019 | 22 | |
| 5 | Enriching EL-Concepts with Greatest Fixpoints | 2010 | 9 |
| 6 | 2014 | 8 | |
| 7 | 2008 | 7 | |
| 8 | 2015 | 5 | |
| 9 | EL-Concepts go Second-Order: Greatest Fixpoints and Simulation Quantifiers. | 2010 | 2 |
| 10 | Parallel OWL 2 RL Materialisation in Centralised‚ Main−Memory RDF Systems | 2014 | 1 |
| 11 | 2014 | 1 |
About Robert Piro
Robert Piro is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems and Management, Signal Processing and Molecular Biology, having authored 11 papers that have together received 176 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Advanced Database Systems and Queries (7 papers), Logic, Reasoning, and Knowledge (6 papers), Natural Language Processing Techniques (3 papers), Data Management and Algorithms (2 papers), Scientific Computing and Data Management (2 papers), Logic, programming, and type systems (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Artificial Intelligence (155 citations), Computer Networks and Communications (81 citations), Signal Processing (23 citations), Information Systems (42 citations) and Software (7 citations). Robert Piro has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Ian Horrocks, Yavor Nenov, Boris Motik, Frank Wolter, Dan Olteanu, Carsten Lutz, Martin Otto, Frank van Harmelen, Jacopo Urbani and Henri E. Bal. Their work appears in journals such as Artificial Intelligence, Semantic Web, Oxford University Research Archive (ORA) (University of Oxford), arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.