Fawzy A. Torkey

28 total papers · 913 total citations
18 papers, 574 citations indexed

About

Fawzy A. Torkey is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Fawzy A. Torkey has authored 18 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Fawzy A. Torkey's work include Advanced Clustering Algorithms Research (7 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (3 papers). Fawzy A. Torkey is often cited by papers focused on Advanced Clustering Algorithms Research (7 papers), Data Management and Algorithms (5 papers) and Data Mining Algorithms and Applications (3 papers). Fawzy A. Torkey collaborates with scholars based in Egypt and Germany. Fawzy A. Torkey's co-authors include Arabi Keshk, Ashraf B. El-Sisi, Medhat A. Tawfeek, Abdel-Badeeh M. Salem, Mohamed A. Ramadan, Ahmed Fahim, Nabil A. Ismail, Dietmar Rösner, Gunter Saake and Taher Hamza and has published in prestigious journals such as Journal of Zhejiang University. Science A, International Journal of Electrical and Computer Engineering (IJECE) and The International Arab Journal of Information Technology.

In The Last Decade

Fawzy A. Torkey

17 papers receiving 506 citations

Author Peers

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

Author						Papers	Cites
Fawzy A. Torkey	338	251	247	89	59	18	574
Xinghao Pan	211 0.6×	282 1.1×	196 0.8×	76 0.9×	44 0.7×	25	559
Salman Salloum	243 0.7×	278 1.1×	252 1.0×	107 1.2×	49 0.8×	14	669
Keqin Li	153 0.5×	165 0.7×	245 1.0×	96 1.1×	49 0.8×	20	595
Federico Michele Facca	421 1.2×	202 0.8×	222 0.9×	78 0.9×	35 0.6×	31	621
Minqi Zhou	389 1.2×	273 1.1×	201 0.8×	54 0.6×	51 0.9×	38	566
Yexi Jiang	306 0.9×	249 1.0×	263 1.1×	87 1.0×	62 1.1×	20	661
Yoon-Joon Lee	305 0.9×	336 1.3×	151 0.6×	85 1.0×	124 2.1×	36	535
Hamed Tabrizchi	225 0.7×	160 0.6×	202 0.8×	46 0.5×	49 0.8×	23	508
Stephen M. Matyas	249 0.7×	234 0.9×	387 1.6×	238 2.7×	113 1.9×	35	630
Haoxiang Lin	262 0.8×	348 1.4×	185 0.7×	152 1.7×	44 0.7×	22	576

Countries citing papers authored by Fawzy A. Torkey

Since Specialization

Citations

This map shows the geographic impact of Fawzy A. Torkey'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 Fawzy A. Torkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fawzy A. Torkey more than expected).

Fields of papers citing papers by Fawzy A. Torkey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fawzy A. Torkey. 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 Fawzy A. Torkey. The network helps show where Fawzy A. Torkey may publish in the future.

Co-authorship network of co-authors of Fawzy A. Torkey

This figure shows the co-authorship network connecting the top 25 collaborators of Fawzy A. Torkey. A scholar is included among the top collaborators of Fawzy A. Torkey 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 Fawzy A. Torkey. Fawzy A. Torkey 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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