Étienne Lozes
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications
- Software
- Molecular Biology
- Co-authors
- Stéphane DemriDavide SangiorgiMartin LangeJules VillardLuı́s CairesNaoki KobayashiAlain FinkelManuel Vargas
- Topics
- Logic, programming, and type systems (21 papers)Formal Methods in Verification (20 papers)Logic, Reasoning, and Knowledge (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaTheoretical Computer ScienceACM SIGPLAN Notices
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Étienne Lozes
24 papers receiving 116 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 105
- Computational Theory and Mathematics 93
- Computer Networks and Communications 21
- Software 12
- Molecular Biology 4
Countries citing papers authored by Étienne Lozes
This map shows the geographic impact of Étienne Lozes'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 Étienne Lozes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Étienne Lozes more than expected).
Fields of papers citing papers by Étienne Lozes
This network shows the impact of papers produced by Étienne Lozes. 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 Étienne Lozes. The network helps show where Étienne Lozes may publish in the future.
Co-authorship network of co-authors of Étienne Lozes
This figure shows the co-authorship network connecting the top 25 collaborators of Étienne Lozes. A scholar is included among the top collaborators of Étienne Lozes 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 Étienne Lozes. Étienne Lozes 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 11 | |
| 19 | 8 | |
| 20 | Elimination of spatial connectives in static spatial logics | 1 |
About Étienne Lozes
Étienne Lozes is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications, having authored 28 papers that have together received 119 indexed citations. Recurring topics across this work include Logic, programming, and type systems (21 papers), Formal Methods in Verification (20 papers) and Logic, Reasoning, and Knowledge (8 papers). The work is most often cited by research in Computational Theory and Mathematics (93 citations), Artificial Intelligence (105 citations) and Software (12 citations). Étienne Lozes has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Stéphane Demri, Davide Sangiorgi, Martin Lange, Jules Villard, Luı́s Caires, Naoki Kobayashi, Alain Finkel, Manuel Vargas, Daniel Hirschkoff and Arnaud Sangnier. Their work appears in journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and ACM SIGPLAN Notices.
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.