Eslam Hamouda

465 citations
20 papers · 297 · h-index 8

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 287 citations

Peers

Eslam Hamouda
Comparison fields: 5 of 58
  • Information Systems 172
  • Computer Networks and Communications 170
  • Signal Processing 34
  • Computer Vision and Pattern Recognition 40
  • Transplantation 4
Replace Rasib Hassan Khan with:
Rasib Hassan Khan United States
Haolong Xiang China
Yan Ding China
Claudio Marche Italy
Jung Hyun Ryu South Korea
Haneef Khan Saudi Arabia
Zhifeng Yu United States
Syed Mohsan Raza France
Zujie Ren China
Syeda Mariam Muzammal Malaysia
Eslam Hamouda relative to Rasib Hassan Khan United States Rasib Hassan Khan's profile →
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 16 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

20 of 20 papers shown
#Work
1 2020105
2 202266
3 202336
4 201818
5 202118
6 202510
7 20209
8 20168
9 20216
10 20236
11 20235
12 20213
13 20232
14 20201
15 20251
16 20141
17 20151
18 20231
19 20250
20 20240

About Eslam Hamouda

Eslam Hamouda is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Transplantation, having authored 20 papers that have together received 297 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), Cloud Computing and Resource Management (2 papers), Advanced Steganography and Watermarking Techniques (2 papers), IoT and Edge/Fog Computing (2 papers), AI in cancer detection (2 papers) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Information Systems (172 citations), Computer Networks and Communications (170 citations), Signal Processing (34 citations), Computer Vision and Pattern Recognition (40 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, Murtada K. Elbashir, Sara El‐Metwally, Mohamed M. Ezz, Meshrif Alruily, Wael Said, Osama M. Ouda, Xiaohui Yuan, Alaa Alaerjan and Taher Hamza. Their work appears in journals such as Applied Sciences, PLoS ONE, Arabian Journal for Science and Engineering, PeerJ Computer Science and Sensors.

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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