Rushed Kanawati

84 total papers · 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 Germany. Rushed Kanawati's co-authors include Céline Rouveirol, Martin Atzmueller, Roberto Interdonato, Sabrina Gaito, Christine Largeron, Alessandra Sala, Brigitte Trousse, Farida Zehraoui, Nistor Grozavu and A. 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rushed Kanawati	338	256	112	106	77	31	499
Joyce Jiyoung Whang	385 1.1×	311 1.2×	128 1.1×	79 0.7×	37 0.5×	29	574
Chao Wang	212 0.6×	299 1.2×	61 0.5×	80 0.8×	55 0.7×	28	522
Alessandro Provetti	185 0.5×	248 1.0×	96 0.9×	62 0.6×	29 0.4×	36	454
Ramesh R. Sarukkai	128 0.4×	184 0.7×	101 0.9×	185 1.7×	46 0.6×	25	448
Amin Mantrach	134 0.4×	285 1.1×	41 0.4×	238 2.2×	32 0.4×	19	545
Fan Yang	313 0.9×	175 0.7×	50 0.4×	37 0.3×	97 1.3×	47	495
Cüneyt Gürcan Akçora	134 0.4×	240 0.9×	111 1.0×	234 2.2×	29 0.4×	33	582
Alessandro Epasto	177 0.5×	204 0.8×	196 1.8×	117 1.1×	18 0.2×	26	469
Huawei Shen	174 0.5×	333 1.3×	43 0.4×	147 1.4×	35 0.5×	43	516
Денис Турдаков	179 0.5×	377 1.5×	82 0.7×	152 1.4×	52 0.7×	57	585

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

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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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