Stéphane Jean

24 papers receiving 287 citations

Peers

Stéphane Jean
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 145
  • Neurology 104
  • Management Science and Operations Research 36
  • Artificial Intelligence 84
  • Management Information Systems 22
Replace C. Simoné with:
C. Simoné Italy
George Kouvas Switzerland
Kshitij Shah United States
H.M. Franken Netherlands
Abdoulaye Sène United States
Neha Verma United States
Akmal A. Younis United States
Li Yan Yuan Canada
Chiemi Watanabe Japan
Wolfgang Heider Germany
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Citations per year

Countries citing papers authored by Stéphane Jean

Since Specialization
Citations

This map shows the geographic impact of Stéphane Jean'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 Stéphane Jean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stéphane Jean more than expected).

Fields of papers citing papers by Stéphane Jean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphane Jean. 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 Stéphane Jean. The network helps show where Stéphane Jean may publish in the future.

Co-authors

The 25 scholars most cited alongside Stéphane Jean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stéphane Jean Line = papers co-authored together Stéphane Jean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200881
2 200956
3 201243
4 201428
5 20219
6
Querying ontology based databases. The OntoQL proposal
20069
7 20188
8 20168
9 20196
10 20096
11 20156
12 20145
13 20125
14 20165
15 20105
16 19974
17
OntoQL: an exploitation language for OBDBs
20052
18 20022
19
WHAT IS “LUXURY” TO GENERATION Y?
20151
20 20151

About Stéphane Jean

Stéphane Jean is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 295 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (15 papers), Advanced Database Systems and Queries (12 papers), Service-Oriented Architecture and Web Services (9 papers), Data Management and Algorithms (8 papers), Business Process Modeling and Analysis (4 papers), Genetic Neurodegenerative Diseases (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Historical Studies and Socio-cultural Analysis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (145 citations), Neurology (104 citations), Management Science and Operations Research (36 citations), Artificial Intelligence (84 citations) and Management Information Systems (22 citations). Stéphane Jean has collaborated with scholars based in France, Canada and Algeria. Frequent co-authors include Louis Richer, Jean Mathieu, Luc Laberge, Ladjel Bellatreche, Cynthia Gagnon, Luc Noreau, Suzanne Veillette, Michel Perron, Paul Bégin and Yves Dauvilliers. Their work appears in journals such as Knowledge and Information Systems, Computers in Industry, Orphanet Journal of Rare Diseases, Journal of Neuromuscular Diseases and Soft Computing.

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.

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