Emmanuelle Lebhar
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Management Science and Operations Research
- Co-authors
- Zvi LotkerNicolas SchabanelPierre FraigniaudAugustin ChaintreauNicolas HanussePhilippe DuchonAmos KormanCyril Gavoille
- Topics
- Advanced Graph Theory Research (5 papers)Complex Network Analysis Techniques (5 papers)Complexity and Algorithms in Graphs (3 papers)
In The Last Decade
Emmanuelle Lebhar
13 papers receiving 150 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 116
- Statistical and Nonlinear Physics 45
- Computational Theory and Mathematics 38
- Artificial Intelligence 18
- Management Science and Operations Research 14
Countries citing papers authored by Emmanuelle Lebhar
This map shows the geographic impact of Emmanuelle Lebhar'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 Emmanuelle Lebhar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuelle Lebhar more than expected).
Fields of papers citing papers by Emmanuelle Lebhar
This network shows the impact of papers produced by Emmanuelle Lebhar. 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 Emmanuelle Lebhar. The network helps show where Emmanuelle Lebhar may publish in the future.
Co-authorship network of co-authors of Emmanuelle Lebhar
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuelle Lebhar. A scholar is included among the top collaborators of Emmanuelle Lebhar 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 Emmanuelle Lebhar. Emmanuelle Lebhar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 32 | |
| 6 | 26 | |
| 7 | Graphs, networks and algorithms | 2 |
| 8 | 11 | |
| 9 | A Doubling Dimension Threshold $θ(loglog n)$ for augmented graph navigability | 5 |
| 10 | 27 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 4 |
About Emmanuelle Lebhar
Emmanuelle Lebhar is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics and Geometry and Topology, having authored 13 papers that have together received 163 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (5 papers), Complex Network Analysis Techniques (5 papers) and Complexity and Algorithms in Graphs (3 papers). The work is most often cited by research in Computer Networks and Communications (116 citations), Statistical and Nonlinear Physics (45 citations) and Computational Theory and Mathematics (38 citations). Emmanuelle Lebhar has collaborated with scholars based in France, Israel and Austria. Frequent co-authors include Zvi Lotker, Nicolas Schabanel, Pierre Fraigniaud, Augustin Chaintreau, Nicolas Hanusse, Philippe Duchon, Amos Korman, Pierre Fraigniaud, Cyril Gavoille and Adrian Kosowski. Their work appears in journals such as Theoretical Computer Science, Discrete Mathematics and Information Processing Letters.
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.