Eslam Hamouda

424 citations
19 papers · 259 · h-index 7

Impact in

    • Cloud Computing and Resource Management
    • Blockchain Technology Applications and Security
    • User Authentication and Security Systems
    • IoT and Edge/Fog Computing
    • Software-Defined Networks and 5G
    • Distributed and Parallel Computing Systems

Papers in

Eslam Hamouda

18 papers receiving 246 citations

Peers

Eslam Hamouda
Comparison fields: 5 of 57
  • Information Systems 155
  • Computer Networks and Communications 155
  • Signal Processing 33
  • Computer Vision and Pattern Recognition 39
  • Transplantation 4
Replace Ali Raza with:
Ali Raza United States
Haneef Khan Saudi Arabia
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Ibrahim Tariq Javed Ireland
Jung Hyun Ryu South Korea
Jung-Shian Li Taiwan
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Junyang Yu China
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Citations per field
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Citations per year

Countries citing papers authored by Eslam Hamouda

Since Specialization
Citations

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

Fields of papers citing papers by Eslam Hamouda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Eslam Hamouda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eslam Hamouda Line = papers co-authored together Eslam Hamouda links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 202094
2 202259
3 202327
4 201817
5 202116
6 20208
7 20168
8 20216
9 20236
10 20234
11 20233
12 20253
13 20213
14 20201
15 20251
16 20231
17 20151
18 20141
19 20250

About Eslam Hamouda

Eslam Hamouda is a scholar working on Signal Processing, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence, having authored 19 papers that have together received 259 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Face recognition and analysis (4 papers), User Authentication and Security Systems (4 papers), Advanced Steganography and Watermarking Techniques (2 papers), Cloud Computing and Resource Management (2 papers), IoT and Edge/Fog Computing (2 papers), AI in cancer detection (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Information Systems (155 citations), Computer Networks and Communications (155 citations), Signal Processing (33 citations), Computer Vision and Pattern Recognition (39 citations) and Transplantation (4 citations). Eslam Hamouda has collaborated with scholars based in Egypt, Saudi Arabia and United States. Frequent co-authors include Amir El-Ghamry, Sara El‐Metwally, Murtada K. Elbashir, Meshrif Alruily, Mohamed Ezz, Wael Said, Osama Ouda, Xiaohui Yuan, Taher Hamza and Saleh Naif Almuayqil. Their work appears in journals such as Applied Sciences, Arabian Journal for Science and Engineering, Scientific Reports, PeerJ Computer Science and Applied Intelligence.

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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