Ghada Dessouky

31 total papers · 601 total citations
17 papers, 306 citations indexed

About

Ghada Dessouky is a scholar working on Artificial Intelligence, Signal Processing and Hardware and Architecture. According to data from OpenAlex, Ghada Dessouky has authored 17 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Signal Processing and 6 papers in Hardware and Architecture. Recurrent topics in Ghada Dessouky's work include Security and Verification in Computing (14 papers), Advanced Malware Detection Techniques (8 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (5 papers). Ghada Dessouky is often cited by papers focused on Security and Verification in Computing (14 papers), Advanced Malware Detection Techniques (8 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (5 papers). Ghada Dessouky collaborates with scholars based in Germany, United States and New Zealand. Ghada Dessouky's co-authors include Ahmad‐Reza Sadeghi, Shaza Zeitouni, Ahmad Ibrahim, Tigist Abera, Thomas Schneider, Farinaz Koushanfar, Yier Jin, Orlando Arias, Daniel Demmler and Dean Sullivan and has published in prestigious journals such as IEEE Security & Privacy, arXiv (Cornell University) and TUbilio (Technical University of Darmstadt).

In The Last Decade

Ghada Dessouky

17 papers receiving 299 citations

Author Peers

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

Author Last Decade Papers Cites
Ghada Dessouky 260 118 114 72 66 17 306
Marco Patrignani 229 0.9× 92 0.8× 139 1.2× 61 0.8× 25 0.4× 28 274
Caroline Trippel 143 0.6× 118 1.0× 45 0.4× 115 1.6× 74 1.1× 21 265
Mona Vij 243 0.9× 76 0.6× 101 0.9× 91 1.3× 149 2.3× 14 287
Peter Chubb 201 0.8× 177 1.5× 77 0.7× 187 2.6× 111 1.7× 16 346
Sumant Kowshik 279 1.1× 184 1.6× 108 0.9× 149 2.1× 65 1.0× 14 360
Rui Qiao 266 1.0× 155 1.3× 185 1.6× 67 0.9× 76 1.2× 22 351
Dafna Sheinwald 201 0.8× 75 0.6× 47 0.4× 123 1.7× 99 1.5× 21 326
Ruan de Clercq 264 1.0× 76 0.6× 103 0.9× 61 0.8× 103 1.6× 13 301
Michael Z. Lee 261 1.0× 53 0.4× 170 1.5× 106 1.5× 190 2.9× 12 321
Douglas H. Summerville 160 0.6× 83 0.7× 102 0.9× 232 3.2× 56 0.8× 34 335

Countries citing papers authored by Ghada Dessouky

Since Specialization
Citations

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

Fields of papers citing papers by Ghada Dessouky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghada Dessouky

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