Sherif Moussa

428 citations
30 papers · 200 indexed · 1 hit paper · h-index 7
Topics
Advanced Wireless Communication Techniques (5 papers)Anomaly Detection Techniques and Applications (4 papers)Network Security and Intrusion Detection (3 papers)

In The Last Decade

Sherif Moussa

28 papers receiving 192 citations

Hit Papers

Internet of Medical Things Privacy and Security: Challeng...20232026202420252023255075

Peers

Sherif Moussa
Comparison fields: 5 of 69
  • Computer Networks and Communications 99
  • Information Systems 50
  • Artificial Intelligence 43
  • Electrical and Electronic Engineering 39
  • Computer Vision and Pattern Recognition 19
Replace Sabuzima Nayak with:
Sabuzima Nayak India
Bassem Ouni United Arab Emirates
Ahmad K. Al Hwaitat Jordan
N. Kumar India
Monir Abdullah Saudi Arabia
Shih-Jung Wu Taiwan
Ibrahim Tariq Javed Pakistan
Lizhuang Tan China
Iftekhar Salam Malaysia
Ali Abdullah S. AlQahtani United States
Sherif Moussa relative to Sabuzima Nayak India Sabuzima Nayak's profile →
Citations per field
00.5×1.5×
Sabuzima Nayak · 1×
Citations per year

Countries citing papers authored by Sherif Moussa

Since Specialization
Citations

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

Fields of papers citing papers by Sherif Moussa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherif Moussa

This figure shows the co-authorship network connecting the top 25 collaborators of Sherif Moussa. A scholar is included among the top collaborators of Sherif Moussa 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 Sherif Moussa. Sherif Moussa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 11
4 5
5 0
6 3
7 11
8 9
9 1
10
Internet of Medical Things Privacy and Security: Challenges, Solutions, and Future Trends from a New Perspectivebreakdown →
89
11 4
12 1
13 1
14 7
15 1
16 1
17 5
18 5
19 1
20 1

About Sherif Moussa

Sherif Moussa is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 200 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (99 citations), Health Informatics (5 citations) and Information Systems (50 citations). Sherif Moussa has collaborated with scholars based in United Arab Emirates, Canada and China. Frequent co-authors include Firuz Kamalov, Mehdi Gheisari, Yang Liu, Behrouz Pourghebleh, Habib Hamam, Hana Sulieman, Murodbek Safaraliev, Adel Ben Mnaouer, Ziad El‐Khatib and Mohammad Reza Feylizadeh. Their work appears in journals such as IEEE Access, Sustainability and IEEE Internet of Things Journal.

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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