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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- Advanced Database Systems and Queries 5
- Distributed systems and fault tolerance 1
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- Semantic Web and Ontologies 5
- Co-authors
- Diego Calvanese (6 shared papers)Guohui Xiao (6 shared papers)Martín Rezk (3 shared papers)Roman Kontchakov (1 shared paper)Davide Lanti (1 shared paper)Mariano Rodríguez-Muro (1 shared paper)Linfang Ding (1 shared paper)Elena Botoeva (4 shared papers)
- Journals
- Data Intelligence (1 paper)Semantic Web (1 paper)Kent Academic Repository (University of Kent) (2 papers)View (1 paper)DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Benjamin Cogrel
6 papers receiving 321 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 294
- Management Science and Operations Research 105
- Information Systems and Management 46
- Computer Networks and Communications 134
- Signal Processing 51
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 8 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 | 2016 | 252 | |
| 2 | 2019 | 78 | |
| 3 | OBDA Beyond Relational DBs: A Study for MongoDB | 2016 | 17 |
| 4 | 2018 | 9 | |
| 5 | 2019 | 9 | |
| 6 | OBDA Over Non-Relational Databases. | 2016 | 1 |
About Benjamin Cogrel
Benjamin Cogrel is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Management Science and Operations Research and Molecular Biology, having authored 6 papers that have together received 366 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Advanced Database Systems and Queries (5 papers), Data Quality and Management (2 papers), Service-Oriented Architecture and Web Services (2 papers), Data Management and Algorithms (1 paper), Distributed systems and fault tolerance (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (294 citations), Management Science and Operations Research (105 citations), Information Systems and Management (46 citations), Computer Networks and Communications (134 citations) and Signal Processing (51 citations). Benjamin Cogrel has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Diego Calvanese, Guohui Xiao, Martín Rezk, Roman Kontchakov, Davide Lanti, Mariano Rodríguez-Muro, Linfang Ding and Elena Botoeva. Their work appears in journals such as Data Intelligence, Semantic Web, Kent Academic Repository (University of Kent), View and DROPS (Schloss Dagstuhl – Leibniz Center for Informatics).
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.