Philippe Lamarre
- Artificial Intelligence
- Computer Networks and Communications
- Computational Theory and Mathematics
- Information Systems
- Sociology and Political Science
- Co-authors
- Patrick ValduriezJorge-Arnulfo Quiané-RuizJulien LeblayIoana ManolescuReza AkbariniaXavier TannierKonstantinos KotisAbdelkader Hameurlain
- Topics
- Semantic Web and Ontologies (5 papers)Peer-to-Peer Network Technologies (3 papers)Advanced Database Systems and Queries (3 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Networks and Communications
In The Last Decade
Philippe Lamarre
11 papers receiving 72 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 64
- Computer Networks and Communications 20
- Computational Theory and Mathematics 20
- Information Systems 16
- Sociology and Political Science 6
Countries citing papers authored by Philippe Lamarre
This map shows the geographic impact of Philippe Lamarre'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 Philippe Lamarre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Lamarre more than expected).
Fields of papers citing papers by Philippe Lamarre
This network shows the impact of papers produced by Philippe Lamarre. 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 Philippe Lamarre. The network helps show where Philippe Lamarre may publish in the future.
Co-authorship network of co-authors of Philippe Lamarre
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Lamarre. A scholar is included among the top collaborators of Philippe Lamarre 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 Philippe Lamarre. Philippe Lamarre 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 | 0 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | A family of Non-Monotonic Inference Systems based on Conditional Logics | 1 |
| 11 | A Promenade from Monotonicity to Non-Monotonicity Following a Theorem Prover. | 6 |
| 12 | On the Connection between Non-monotonic Inference Systems and Conditional Logics. | 22 |
| 13 | S4 as the conditional logic of nonmonotonicity | 18 |
About Philippe Lamarre
Philippe Lamarre is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 13 papers that have together received 82 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (5 papers), Peer-to-Peer Network Technologies (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Artificial Intelligence (64 citations), Computational Theory and Mathematics (20 citations) and Computer Networks and Communications (20 citations). Philippe Lamarre has collaborated with scholars based in France, Austria and Germany. Frequent co-authors include Patrick Valduriez, Jorge-Arnulfo Quiané-Ruiz, Julien Leblay, Ioana Manolescu, Reza Akbarinia, Xavier Tannier, Konstantinos Kotis, Abdelkader Hameurlain, Andreas Papasalouros and George A. Vouros. Their work appears in journals such as Future Generation Computer Systems, Proceedings of the VLDB Endowment and Data Mining and Knowledge Discovery.
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.