Mohamed Nassar
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Signal Processing top 10%
- Co-authors
- Davor SvetinovićKhaled SalahOlivier FestorMuhammad Habib ur RehmanRadu StateHaı̈dar SafaQutaibah MalluhiAbdelkarim Erradi
- Topics
- Cryptography and Data Security (14 papers)Network Security and Intrusion Detection (13 papers)Privacy-Preserving Technologies in Data (13 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessSAE technical papers on CD-ROM/SAE technical paper series
- Partner nations
- LebanonFranceUnited States
In The Last Decade
Mohamed Nassar
46 papers receiving 424 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 246
- Computer Networks and Communications 209
- Information Systems 161
- Electrical and Electronic Engineering 98
- Signal Processing 98
Countries citing papers authored by Mohamed Nassar
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 92 | |
| 11 | 9 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 17 | |
| 16 | 22 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 22 |
About Mohamed Nassar
Mohamed Nassar is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 53 papers that have together received 451 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Network Security and Intrusion Detection (13 papers) and Privacy-Preserving Technologies in Data (13 papers). The work is most often cited by research in Health Informatics (14 citations), Computer Networks and Communications (209 citations) and Signal Processing (98 citations). Mohamed Nassar has collaborated with scholars based in Lebanon, France and United States. Frequent co-authors include Davor Svetinović, Khaled Salah, Olivier Festor, Muhammad Habib ur Rehman, Radu State, Haı̈dar Safa, Qutaibah Malluhi, Abdelkarim Erradi, Saverio Niccolini and Joseph El Khoury. Their work appears in journals such as Expert Systems with Applications, IEEE Access and SAE technical papers on CD-ROM/SAE technical paper series.
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.