Arabi Keshk

110 total papers · 1.2k total citations
67 papers, 736 citations indexed

About

Arabi Keshk is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Arabi Keshk has authored 67 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 22 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Arabi Keshk's work include Cloud Computing and Resource Management (8 papers), AI in cancer detection (7 papers) and IoT and Edge/Fog Computing (6 papers). Arabi Keshk is often cited by papers focused on Cloud Computing and Resource Management (8 papers), AI in cancer detection (7 papers) and IoT and Edge/Fog Computing (6 papers). Arabi Keshk collaborates with scholars based in Egypt, France and Palestinian Territory. Arabi Keshk's co-authors include Medhat A. Tawfeek, Ashraf B. El-Sisi, Fawzy A. Torkey, Mohamed Sakr, Abeer Saber, Osama M. Abo-Seida, Huiling Chen, Mahmoud Hussein, Shaimaa Mahmoud and Mohamed Medhat Gaber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Arabi Keshk

59 papers receiving 676 citations

Hit Papers

A Novel Deep-Learning Mod... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Arabi Keshk 341 316 297 174 98 67 736
Amerah Alabrah 288 0.8× 154 0.5× 127 0.4× 109 0.6× 108 1.1× 55 678
Pinki Roy 403 1.2× 115 0.4× 189 0.6× 188 1.1× 112 1.1× 42 747
Ahmed Mohammed Alghamdi 310 0.9× 186 0.6× 109 0.4× 116 0.7× 197 2.0× 76 709
Farhan Amin 231 0.7× 289 0.9× 145 0.5× 79 0.5× 186 1.9× 70 802
J. Dinesh Peter 310 0.9× 139 0.4× 109 0.4× 312 1.8× 269 2.7× 66 807
Samir Elmougy 327 1.0× 218 0.7× 146 0.5× 203 1.2× 228 2.3× 70 907
A. Kumaravel 245 0.7× 299 0.9× 176 0.6× 50 0.3× 93 0.9× 50 822
Sa’ed Abed 223 0.7× 111 0.4× 116 0.4× 120 0.7× 225 2.3× 90 684
Zryan Najat Rashid 203 0.6× 203 0.6× 290 1.0× 65 0.4× 111 1.1× 38 640
Muhammad Sardaraz 270 0.8× 365 1.2× 313 1.1× 36 0.2× 115 1.2× 35 685

Countries citing papers authored by Arabi Keshk

Since Specialization
Citations

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

Fields of papers citing papers by Arabi Keshk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arabi Keshk. 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 Arabi Keshk. The network helps show where Arabi Keshk may publish in the future.

Co-authorship network of co-authors of Arabi Keshk

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