Moez Draief
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 5%
- Artificial Intelligence
- Co-authors
- Laurent MassouliéAyalvadi GaneshLu‐Xing YangXiaofan YangMilan VojnovićSymeon ChouvardasStefano ParisHamed Amini
- Topics
- Complex Network Analysis Techniques (16 papers)Opinion Dynamics and Social Influence (15 papers)Distributed Control Multi-Agent Systems (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPhysica A Statistical Mechanics and its Applications
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Moez Draief
40 papers receiving 635 citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 358
- Computer Networks and Communications 240
- Public Health, Environmental and Occupational Health 139
- Modeling and Simulation 77
- Artificial Intelligence 61
Countries citing papers authored by Moez Draief
This map shows the geographic impact of Moez Draief'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 Moez Draief with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moez Draief more than expected).
Fields of papers citing papers by Moez Draief
This network shows the impact of papers produced by Moez Draief. 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 Moez Draief. The network helps show where Moez Draief may publish in the future.
Co-authorship network of co-authors of Moez Draief
This figure shows the co-authorship network connecting the top 25 collaborators of Moez Draief. A scholar is included among the top collaborators of Moez Draief 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 Moez Draief. Moez Draief is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 49 | |
| 4 | 51 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | Large-Scale Bandit Problems and KWIK Learning | 5 |
| 9 | 14 | |
| 10 | Majority Consensus on Random Graphs of a Given Degree Sequence | 2 |
| 11 | 28 | |
| 12 | 13 | |
| 13 | 32 | |
| 14 | 6 | |
| 15 | Deconstructing internet paths: an approach for AS-level detour route discovery | 5 |
| 16 | 2 | |
| 17 | 58 | |
| 18 | 1 | |
| 19 | 29 | |
| 20 | 3 |
About Moez Draief
Moez Draief is a scholar working on Statistical and Nonlinear Physics, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 40 papers that have together received 652 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (15 papers) and Distributed Control Multi-Agent Systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (358 citations), Modeling and Simulation (77 citations) and Computer Networks and Communications (240 citations). Moez Draief has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Laurent Massoulié, Ayalvadi Ganesh, Lu‐Xing Yang, Xiaofan Yang, Milan Vojnović, Symeon Chouvardas, Stefano Paris, Hamed Amini, Jeremy Pitt and Jérémie Leguay. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Physica A Statistical Mechanics and its Applications.
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.