Yacine Boufkhad
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Signal Processing
- Management Science and Operations Research
- Co-authors
- Olivier DuboisLaurent ViennotDiego PerinoFabien de MontgolfierBart SelmanYannet InterianFabien MathieuOlivier Roussel
- Topics
- Constraint Satisfaction and Optimization (6 papers)Logic, Reasoning, and Knowledge (4 papers)Peer-to-Peer Network Technologies (2 papers)
- Partner nations
- FranceAustriaUnited States
In The Last Decade
Yacine Boufkhad
11 papers receiving 127 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 113
- Computational Theory and Mathematics 83
- Artificial Intelligence 60
- Signal Processing 27
- Management Science and Operations Research 7
Countries citing papers authored by Yacine Boufkhad
This map shows the geographic impact of Yacine Boufkhad'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 Yacine Boufkhad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yacine Boufkhad more than expected).
Fields of papers citing papers by Yacine Boufkhad
This network shows the impact of papers produced by Yacine Boufkhad. 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 Yacine Boufkhad. The network helps show where Yacine Boufkhad may publish in the future.
Co-authorship network of co-authors of Yacine Boufkhad
This figure shows the co-authorship network connecting the top 25 collaborators of Yacine Boufkhad. A scholar is included among the top collaborators of Yacine Boufkhad 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 Yacine Boufkhad. Yacine Boufkhad 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 | Achievable catalog size in peer-to-peer video-on-demand systems | 21 |
| 4 | Graphs, networks and algorithms | 2 |
| 5 | 16 | |
| 6 | 1 | |
| 7 | Typical Random 3-SAT Formulae and the Satisfiability Threshold | 18 |
| 8 | 6 | |
| 9 | 11 | |
| 10 | Algorithms for propositional KB approximation | 8 |
| 11 | 57 |
About Yacine Boufkhad
Yacine Boufkhad is a scholar working on Computer Networks and Communications, Discrete Mathematics and Combinatorics and Computational Theory and Mathematics, having authored 11 papers that have together received 142 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (6 papers), Logic, Reasoning, and Knowledge (4 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (83 citations), Computer Networks and Communications (113 citations) and Signal Processing (27 citations). Yacine Boufkhad has collaborated with scholars based in France, Austria and United States. Frequent co-authors include Olivier Dubois, Laurent Viennot, Diego Perino, Fabien de Montgolfier, Bart Selman, Yannet Interian, Fabien Mathieu, Olivier Roussel, Maurice Nivat and Pierre Fraigniaud. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics and Journal of Algorithms.
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.