Michel Leclère
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 10%
- Information Systems
- Management Science and Operations Research
- Co-authors
- Marie-Laure MugnierJean-François BagetÉric SalvatMichaël ThomazoMounira HarzallahViolaine MoreauJ. BonnetSarah Guiziou
- Topics
- Semantic Web and Ontologies (23 papers)Advanced Database Systems and Queries (17 papers)Data Management and Algorithms (9 papers)
In The Last Decade
Michel Leclère
22 papers receiving 284 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 268
- Computer Networks and Communications 195
- Signal Processing 71
- Information Systems 36
- Management Science and Operations Research 33
Countries citing papers authored by Michel Leclère
This map shows the geographic impact of Michel Leclère'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 Michel Leclère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Leclère more than expected).
Fields of papers citing papers by Michel Leclère
This network shows the impact of papers produced by Michel Leclère. 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 Michel Leclère. The network helps show where Michel Leclère may publish in the future.
Co-authorship network of co-authors of Michel Leclère
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Leclère. A scholar is included among the top collaborators of Michel Leclère 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 Michel Leclère. Michel Leclère is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | On Bounded Positive Existential Rules | 5 |
| 5 | Query rewriting for existential rules with compiled preorder | 4 |
| 6 | 17 | |
| 7 | Similarité entre listes de termes dépendants et pondérés | 0 |
| 8 | Aggregation Semantics for Link Validity: Technical Report | 0 |
| 9 | 132 | |
| 10 | Logical, graph based knowledge representation with CoGui | 3 |
| 11 | Walking the decidability line for rules with existential variables | 23 |
| 12 | Extraction et exploitation de données temporelles pour un portail d'e-tourisme | 1 |
| 13 | DL-SR: a Lite DL with Expressive Rules: Preliminary Results | 3 |
| 14 | 3 | |
| 15 | 11 | |
| 16 | 6 | |
| 17 | Towards Benchmarks for Conceptual Graphs Tools | 0 |
| 18 | Operationalizing domain ontologies: a method and a tool | 3 |
| 19 | TooCoM: a Tool to Operationalize an Ontology with the Conceptual Graph Model. | 2 |
| 20 | Construire un Système à Base de Connaissances de type Tâche/Méthode à l'aide de Graphes Conceptuels | 1 |
About Michel Leclère
Michel Leclère is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 28 papers that have together received 305 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Advanced Database Systems and Queries (17 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Computer Networks and Communications (195 citations), Artificial Intelligence (268 citations) and Signal Processing (71 citations). Michel Leclère has collaborated with scholars based in France and Germany. Frequent co-authors include Marie-Laure Mugnier, Jean-François Baget, Éric Salvat, Michaël Thomazo, Mounira Harzallah, Violaine Moreau, J. Bonnet, Sarah Guiziou, Sophie Tison and Michel Chein. Their work appears in journals such as Artificial Intelligence, ACS Synthetic Biology and Applied Intelligence.
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.