Jérôme Euzenat
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Molecular Biology top 10%
- Management Science and Operations Research top 1%
- Computer Networks and Communications top 2%
- Co-authors
- Pavel ShvaikoMarc EhrigAsuncíon Gómez-PérezHeiner StuckenschmidtNicola GuarinoFaisal AlkhateebCássia Trojahn dos SantosFrançois Scharffe
- Topics
- Semantic Web and Ontologies (45 papers)Service-Oriented Architecture and Web Services (22 papers)Advanced Database Systems and Queries (15 papers)
In The Last Decade
Jérôme Euzenat
60 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 2.4k
- Information Systems 1.4k
- Molecular Biology 934
- Management Science and Operations Research 536
- Computer Networks and Communications 495
Countries citing papers authored by Jérôme Euzenat
This map shows the geographic impact of Jérôme Euzenat'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 Jérôme Euzenat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Euzenat more than expected).
Fields of papers citing papers by Jérôme Euzenat
This network shows the impact of papers produced by Jérôme Euzenat. 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 Jérôme Euzenat. The network helps show where Jérôme Euzenat may publish in the future.
Co-authorship network of co-authors of Jérôme Euzenat
This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Euzenat. A scholar is included among the top collaborators of Jérôme Euzenat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jérôme Euzenat. Jérôme Euzenat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Semantic web journal | 0 |
| 3 | 21 | |
| 4 | Linked data from your pocket | 2 |
| 5 | 2 | |
| 6 | 31 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | Context Management and Semantic Modelling for Ambient Intelligence | 2 |
| 10 | 3 | |
| 11 | D1.1.1 Networked Ontology Model | 3 |
| 12 | 11 | |
| 13 | Context-driven Disambiguation in Ontology Elicitation | 10 |
| 14 | State of the art on ontology alignment | 99 |
| 15 | A semantic framework for multimedia document adaptation | 14 |
| 16 | The emerging semantic web : selected papers from the first semantic web working symposium | 10 |
| 17 | A survey on methodologies for developing, maintaining, integrating, evaluating and reengineering ontologies | 10 |
| 18 | 6 | |
| 19 | 6 | |
| 20 | 97 |
About Jérôme Euzenat
Jérôme Euzenat is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 66 papers that have together received 2.9k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (45 papers), Service-Oriented Architecture and Web Services (22 papers) and Advanced Database Systems and Queries (15 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Information Systems (1.4k citations) and Management Science and Operations Research (536 citations). Jérôme Euzenat has collaborated with scholars based in France, Austria and Spain. Frequent co-authors include Pavel Shvaiko, Marc Ehrig, Asuncíon Gómez-Pérez, Heiner Stuckenschmidt, Nicola Guarino, Faisal Alkhateeb, Cássia Trojahn dos Santos, François Scharffe, Jean-François Baget and D. Jérôme. Their work appears in journals such as Nucleic Acids Research, Artificial Intelligence and IEEE Transactions on Knowledge and Data Engineering.
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.