Mohamed Eldesouki

115 total papers · 475 total citations
46 papers, 273 citations indexed

About

Mohamed Eldesouki is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohamed Eldesouki has authored 46 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohamed Eldesouki's work include Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers) and Speech Recognition and Synthesis (6 papers). Mohamed Eldesouki is often cited by papers focused on Natural Language Processing Techniques (10 papers), Topic Modeling (10 papers) and Speech Recognition and Synthesis (6 papers). Mohamed Eldesouki collaborates with scholars based in Saudi Arabia, Egypt and United States. Mohamed Eldesouki's co-authors include Kareem Darwish, Hamdy Mubarak, Ahmed Abdelalí, Younes Samih, Abdelwahed Motwakel, Mohammed Attia, Laura Kallmeyer, Abu Sarwar Zamani, Ishfaq Yaseen and Hassan Sajjad and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Gastroenterology and Sensors.

In The Last Decade

Mohamed Eldesouki

40 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Mohamed Eldesouki 181 31 29 26 17 46 273
Tong Wu 102 0.6× 53 1.7× 27 0.9× 19 0.7× 24 1.4× 42 269
Rajvardhan Patil 103 0.6× 21 0.7× 29 1.0× 26 1.0× 31 1.8× 35 281
Olexander Barmak 61 0.3× 40 1.3× 32 1.1× 12 0.5× 6 0.4× 48 186
Jie Cao 209 1.2× 65 2.1× 33 1.1× 12 0.5× 21 1.2× 29 299
Оrken Mamyrbayev 157 0.9× 24 0.8× 40 1.4× 10 0.4× 67 3.9× 75 300
Thulasi Bikku 111 0.6× 48 1.5× 28 1.0× 25 1.0× 15 0.9× 41 234
Hassan Ouahmane 156 0.9× 70 2.3× 101 3.5× 71 2.7× 40 2.4× 42 319
Panos A. Ligomenides 143 0.8× 52 1.7× 9 0.3× 23 0.9× 14 0.8× 43 255
Markus Kreuzthaler 155 0.9× 79 2.5× 13 0.4× 29 1.1× 3 0.2× 40 301
Kristína Machová 190 1.0× 20 0.6× 71 2.4× 7 0.3× 25 1.5× 35 282

Countries citing papers authored by Mohamed Eldesouki

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Eldesouki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Eldesouki

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