Rushed Kanawati

1.1k total citations
31 papers, 499 citations indexed

About

Rushed Kanawati is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Rushed Kanawati has authored 31 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistical and Nonlinear Physics, 15 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Rushed Kanawati's work include Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (9 papers) and Opinion Dynamics and Social Influence (8 papers). Rushed Kanawati is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Advanced Graph Neural Networks (9 papers) and Opinion Dynamics and Social Influence (8 papers). Rushed Kanawati collaborates with scholars based in France, Algeria and Italy. Rushed Kanawati's co-authors include Céline Rouveirol, Martin Atzmueller, Sabrina Gaito, Alessandra Sala, Christine Largeron, Roberto Interdonato, Brigitte Trousse, A. Mokhtari, Nistor Grozavu and Aïcha Mokhtari and has published in prestigious journals such as Neurocomputing, Machine Learning and Parallel Computing.

In The Last Decade

Rushed Kanawati

27 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rushed Kanawati France 12 337 255 109 106 77 31 499
Alessandro Provetti Italy 11 187 0.6× 247 1.0× 98 0.9× 61 0.6× 29 0.4× 36 456
Amin Mantrach Spain 11 134 0.4× 285 1.1× 41 0.4× 239 2.3× 32 0.4× 19 545
Saša Petrović United Kingdom 11 332 1.0× 539 2.1× 99 0.9× 262 2.5× 17 0.2× 17 818
Ramesh R. Sarukkai United States 6 128 0.4× 184 0.7× 100 0.9× 184 1.7× 46 0.6× 25 446
Alessandro Epasto United States 10 177 0.5× 204 0.8× 196 1.8× 117 1.1× 18 0.2× 26 471
Huawei Shen China 14 174 0.5× 337 1.3× 44 0.4× 149 1.4× 35 0.5× 44 526
Rick Barber United States 6 171 0.5× 238 0.9× 54 0.5× 125 1.2× 71 0.9× 7 369
Prem Gopalan United States 8 197 0.6× 270 1.1× 170 1.6× 189 1.8× 51 0.7× 12 643
Денис Турдаков Russia 14 178 0.5× 377 1.5× 82 0.8× 152 1.4× 52 0.7× 58 587
Rongjing Xiang United States 7 300 0.9× 256 1.0× 108 1.0× 183 1.7× 21 0.3× 9 556

Countries citing papers authored by Rushed Kanawati

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Atzmueller, Martin & Rushed Kanawati. (2022). Explainability in Cyber Security using Complex Network Analysis: A Brief Methodological Overview. 6. 49–52. 1 indexed citations
2.
Kanawati, Rushed, et al.. (2021). Tag Recommendation by Link Prediction Based on Supervised Machine Learning. Proceedings of the International AAAI Conference on Web and Social Media. 6(1). 547–550.
3.
Rouveirol, Céline, Ruggero G. Pensa, & Rushed Kanawati. (2017). Introduction to the special issue on dynamic networks and knowledge discovery. Machine Learning. 106(8). 1131–1132. 1 indexed citations
4.
Kanawati, Rushed, et al.. (2015). Link prediction in multiplex networks. Networks and Heterogeneous Media. 10(1). 17–35. 49 indexed citations
5.
Kanawati, Rushed, et al.. (2015). MUNA. 757–760. 2 indexed citations
6.
Kanawati, Rushed, et al.. (2015). Community detection in multiplex networks: A seed-centric approach. Networks and Heterogeneous Media. 10(1). 71–85. 49 indexed citations
7.
Kanawati, Rushed. (2014). Empirical evaluation of applying ensemble methods to ego-centred community identification in complex networks. Neurocomputing. 150. 417–427. 15 indexed citations
8.
Kanawati, Rushed. (2014). Community detection in social networks: The power of ensemble methods. 46–52. 8 indexed citations
9.
Kanawati, Rushed, et al.. (2014). LICOD: A Leader-driven algorithm for community detection in complex networks. Vietnam Journal of Computer Science. 1(4). 241–256. 36 indexed citations
10.
Kanawati, Rushed, et al.. (2012). Link Prediction in Complex Networks by Supervised Rank Aggregation. 12 indexed citations
11.
Kanawati, Rushed, et al.. (2010). Supervised Machine Learning Applied to Link Prediction in Bipartite Social Networks. 326–330. 90 indexed citations
12.
Kanawati, Rushed, et al.. (2010). A supervised machine learning link prediction approach for academic collaboration recommendation. 253–256. 33 indexed citations
13.
Mokhtari, Aïcha, et al.. (2010). Mobile Codes Localization in Ad hoc Networks: a Comparative Study of Centralized and Distributed Approaches. International journal of Computer Networks & Communications. 2(2). 164–177.
14.
Kanawati, Rushed, et al.. (2009). A P2P Collaborative Bibliography Recommender System. 4. 90–96. 3 indexed citations
15.
Mokhtari, Aïcha, et al.. (2009). Mobile-Agent Approach for Mobile Code Localization in Ad hoc Networks. 3262. 36–39. 3 indexed citations
16.
17.
Kanawati, Rushed, et al.. (2002). A multi-agent system for collaborative bookmarking. 1 indexed citations
18.
Kanawati, Rushed, et al.. (2000). Informing the design of shared bookmark systems. 170–179. 4 indexed citations
19.
Trousse, Brigitte, et al.. (1999). Using user behaviour similarity for recommendation computation: the broadway approach. International Conference on Human-Computer Interaction. 85–89. 5 indexed citations
20.
Kanawati, Rushed. (1997). LICRA: A replicated-data management algorithm for distributed synchronous groupware applications. Parallel Computing. 22(13). 1733–1746. 34 indexed citations

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.

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