Mohamed Nassar

99 total papers · 875 total citations
51 papers, 450 citations indexed

About

Mohamed Nassar is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mohamed Nassar has authored 51 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Artificial Intelligence, 19 papers in Computer Networks and Communications and 16 papers in Information Systems. Recurrent topics in Mohamed Nassar's work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (13 papers) and Network Security and Intrusion Detection (13 papers). Mohamed Nassar is often cited by papers focused on Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (13 papers) and Network Security and Intrusion Detection (13 papers). Mohamed Nassar collaborates with scholars based in Lebanon, France and United States. Mohamed Nassar's co-authors include Olivier Festor, Davor Svetinović, Khaled Salah, Muhammad Habib ur Rehman, Radu State, Haı̈dar Safa, Qutaibah Malluhi, Abdelkarim Erradi, Saverio Niccolini and Joseph El Khoury and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Mohamed Nassar

46 papers receiving 421 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 Nassar 246 210 160 98 97 51 450
Lanier Watkins 197 0.8× 253 1.2× 86 0.5× 104 1.1× 90 0.9× 58 443
Taimur Bakhshi 141 0.6× 270 1.3× 169 1.1× 114 1.2× 51 0.5× 34 497
MingJian Tang 253 1.0× 190 0.9× 181 1.1× 83 0.8× 77 0.8× 26 493
Sung-Jin Kim 136 0.6× 179 0.9× 109 0.7× 110 1.1× 72 0.7× 58 442
Yulai Xie 171 0.7× 326 1.6× 163 1.0× 128 1.3× 41 0.4× 28 489
Shahrear Iqbal 166 0.7× 246 1.2× 115 0.7× 156 1.6× 84 0.9× 31 428
Shafiq Ul Rehman 156 0.6× 317 1.5× 135 0.8× 110 1.1× 87 0.9× 29 454
Yustus Eko Oktian 172 0.7× 401 1.9× 167 1.0× 74 0.8× 107 1.1× 32 535
Manu Sood 165 0.7× 225 1.1× 109 0.7× 62 0.6× 70 0.7× 33 435
Xiaobo Ma 241 1.0× 302 1.4× 140 0.9× 173 1.8× 60 0.6× 57 489

Countries citing papers authored by Mohamed Nassar

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Nassar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Nassar

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