Benjamin Cogrel
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
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- Data Quality and Management
Papers in
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- Semantic Web and Ontologies 11
- Cognitive Computing and Networks 1
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- Advanced Database Systems and Queries 8
- Co-authors
- Guohui Xiao (12 shared papers)Diego Calvanese (12 shared papers)Roman Kontchakov (5 shared papers)Martín Rezk (5 shared papers)Davide Lanti (5 shared papers)Mariano Rodríguez-Muro (2 shared papers)Linfang Ding (3 shared papers)Elena Botoeva (8 shared papers)
- Journals
- Semantic Web (1 paper)Data Intelligence (1 paper)Lecture notes in computer science (4 papers)Intelligenza Artificiale (1 paper)Kent Academic Repository (University of Kent) (3 papers)
- Partner nations
- ItalyUnited KingdomSweden
In The Last Decade
Benjamin Cogrel
11 papers receiving 530 citations
Benjamin Cogrel's Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 477
- Management Science and Operations Research 170
- Information Systems and Management 78
- Computer Networks and Communications 230
- Signal Processing 86
Countries citing papers authored by Benjamin Cogrel
This map shows the geographic impact of Benjamin Cogrel'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 Benjamin Cogrel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Cogrel more than expected).
Fields of papers citing papers by Benjamin Cogrel
This network shows the impact of papers produced by Benjamin Cogrel. 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 Benjamin Cogrel. The network helps show where Benjamin Cogrel may publish in the future.
Co-authors
The 9 scholars most cited alongside Benjamin Cogrel, 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 | Ontop: Answering SPARQL queries over relational databases Hit paper breakdown → | 2016 | 351 |
| 2 | 2019 | 101 | |
| 3 | 2020 | 51 | |
| 4 | 2018 | 23 | |
| 5 | OBDA Beyond Relational DBs: A Study for MongoDB | 2016 | 22 |
| 6 | 2018 | 14 | |
| 7 | 2019 | 10 | |
| 8 | 2018 | 7 | |
| 9 | 2015 | 5 | |
| 10 | OBDA with the Ontop Framework. | 2015 | 2 |
| 11 | OBDA Over Non-Relational Databases. | 2016 | 1 |
| 12 | The Virtual Knowledge Graph System Ontop (Extended Abstract). | 2020 | 0 |
About Benjamin Cogrel
Benjamin Cogrel is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Information Systems and Management, having authored 12 papers that have together received 587 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (11 papers), Advanced Database Systems and Queries (8 papers), Service-Oriented Architecture and Web Services (5 papers), Data Quality and Management (3 papers), Biomedical Text Mining and Ontologies (2 papers), Cognitive Computing and Networks (1 paper), Scientific Computing and Data Management (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (477 citations), Management Science and Operations Research (170 citations), Information Systems and Management (78 citations), Computer Networks and Communications (230 citations) and Signal Processing (86 citations). Benjamin Cogrel has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Guohui Xiao, Diego Calvanese, Roman Kontchakov, Martín Rezk, Davide Lanti, Mariano Rodríguez-Muro, Linfang Ding, Elena Botoeva and Elem Güzel Kalaycı. Their work appears in journals such as Semantic Web, Data Intelligence, Lecture notes in computer science, Intelligenza Artificiale and Kent Academic Repository (University of Kent).
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.