Sylvie Szulman
- Artificial Intelligence
- Language and Linguistics
- Political Science and International Relations
- Information Systems
- Computer Networks and Communications
- Topics
- Semantic Web and Ontologies (5 papers)Service-Oriented Architecture and Web Services (3 papers)Natural Language Processing Techniques (3 papers)
- Cited by
- Language and LinguisticsArtificial IntelligencePolitical Science and International Relations
- Journals
- Artificial Intelligence and LawHAL (Le Centre pour la Communication Scientifique Directe)IFIP Congress
- Partner nations
- France
In The Last Decade
Sylvie Szulman
5 papers receiving 22 citations
Peers
Comparison fields: 5 of 12
- Artificial Intelligence 22
- Language and Linguistics 13
- Political Science and International Relations 8
- Information Systems 5
- Computer Networks and Communications 2
Countries citing papers authored by Sylvie Szulman
This map shows the geographic impact of Sylvie Szulman'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 Sylvie Szulman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvie Szulman more than expected).
Fields of papers citing papers by Sylvie Szulman
This network shows the impact of papers produced by Sylvie Szulman. 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 Sylvie Szulman. The network helps show where Sylvie Szulman may publish in the future.
Co-authorship network of co-authors of Sylvie Szulman
This figure shows the co-authorship network connecting the top 25 collaborators of Sylvie Szulman. A scholar is included among the top collaborators of Sylvie Szulman 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 Sylvie Szulman. Sylvie Szulman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Mise en lumière de relations sémantiques pour la construction d'ontologie à partir de textes. | 0 |
| 3 | 14 | |
| 4 | OWL et Terminae | 2 |
| 5 | Prise en compte de l'application dans la constitution de produits terminologiques | 4 |
| 6 | 3 | |
| 7 | Enrichment of Semantic Network for Requirements Expressed in Natural Language. | 0 |
About Sylvie Szulman
Sylvie Szulman is a scholar working on Language and Linguistics, Artificial Intelligence and Information Systems, having authored 7 papers that have together received 25 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Service-Oriented Architecture and Web Services (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Language and Linguistics (13 citations), Artificial Intelligence (22 citations) and Political Science and International Relations (8 citations). Sylvie Szulman has collaborated with scholars based in France. Frequent co-authors include Nathalie Aussenac-Gilles, Anne Condamines, Jean Charlet and Adeline Nazarenko. Their work appears in journals such as Artificial Intelligence and Law, HAL (Le Centre pour la Communication Scientifique Directe) and IFIP Congress.
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.