Rushed Kanawati
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Céline RouveirolMartin AtzmuellerSabrina GaitoRoberto InterdonatoChristine LargeronAlessandra SalaBrigitte TrousseFarida Zehraoui
- Topics
- Complex Network Analysis Techniques (19 papers)Advanced Graph Neural Networks (9 papers)Opinion Dynamics and Social Influence (8 papers)
In The Last Decade
Rushed Kanawati
27 papers receiving 478 citations
Peers
Comparison fields: 5 of 67
- Statistical and Nonlinear Physics 337
- Artificial Intelligence 255
- Computer Networks and Communications 109
- Information Systems 106
- Molecular Biology 77
Countries citing papers authored by Rushed Kanawati
This map shows the geographic impact of Rushed Kanawati'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 Rushed Kanawati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rushed Kanawati more than expected).
Fields of papers citing papers by Rushed Kanawati
This network shows the impact of papers produced by Rushed Kanawati. 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 Rushed Kanawati. The network helps show where Rushed Kanawati may publish in the future.
Co-authorship network of co-authors of Rushed Kanawati
This figure shows the co-authorship network connecting the top 25 collaborators of Rushed Kanawati. A scholar is included among the top collaborators of Rushed Kanawati 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 Rushed Kanawati. Rushed Kanawati 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 | 2 | |
| 5 | 49 | |
| 6 | 49 | |
| 7 | 2 | |
| 8 | 8 | |
| 9 | 36 | |
| 10 | 15 | |
| 11 | 12 | |
| 12 | 90 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | Informing the design of shared bookmark systems | 4 |
| 19 | Using user behaviour similarity for recommendation computation: the broadway approach | 5 |
| 20 | 34 |
About Rushed Kanawati
Rushed Kanawati is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 31 papers that have together received 499 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (9 papers) and Opinion Dynamics and Social Influence (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (337 citations), Artificial Intelligence (255 citations) and Computer Networks and Communications (109 citations). Rushed Kanawati has collaborated with scholars based in France, Algeria and Italy. Frequent co-authors include Céline Rouveirol, Martin Atzmueller, Sabrina Gaito, Roberto Interdonato, Christine Largeron, Alessandra Sala, Brigitte Trousse, Farida Zehraoui, A. Mokhtari and Nistor Grozavu. Their work appears in journals such as Neurocomputing, Machine Learning and Parallel Computing.
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.