Sameh A. Salem

627 citations
58 papers · 480 · h-index 12

Impact in

Papers in

Sameh A. Salem

52 papers receiving 459 citations

Peers

Sameh A. Salem
Comparison fields: 5 of 88
  • Ophthalmology 59
  • Human-Computer Interaction 36
  • Computer Networks and Communications 132
  • Computer Vision and Pattern Recognition 113
  • Information Systems 116
Replace Savitri Bevinakoppa with:
Savitri Bevinakoppa Australia
N. P. Gopalan India
Mohammad‐Shahram Moin Iran
Jiaxian Guo China
Li Fang Hu China
Mohamed A. Abu Elsoud Egypt
S. S. Arumugam India
Gökhan Dalkılıç Türkiye
Suku Nair United States
Alberto Sánchez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Sameh A. Salem

Since Specialization
Citations

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

Fields of papers citing papers by Sameh A. Salem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sameh A. Salem. 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 Sameh A. Salem. The network helps show where Sameh A. Salem may publish in the future.

Co-authors

The 15 scholars most cited alongside Sameh A. Salem, 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 Sameh A. Salem Line = papers co-authored together Sameh A. Salem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200757
2 202054
3 201232
4 200730
5 201428
6 200827
7 200826
8 202122
9 202219
10 201418
11 202217
12 201913
13 200610
14 20179
15 20069
16 20198
17 20178
18 20198
19 20167
20
Privacy-Preserving Data Mining (PPDM) Method for Horizontally Partitioned Data
20127

About Sameh A. Salem

Sameh A. Salem is a scholar working on Computer Networks and Communications, Signal Processing, Information Systems, Hardware and Architecture and Artificial Intelligence, having authored 58 papers that have together received 480 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (7 papers), Advanced Malware Detection Techniques (7 papers), Caching and Content Delivery (6 papers), Interconnection Networks and Systems (6 papers), Retinal Imaging and Analysis (5 papers) and Embedded Systems Design Techniques (5 papers). The work is most often cited by research in Ophthalmology (59 citations), Human-Computer Interaction (36 citations), Computer Networks and Communications (132 citations), Computer Vision and Pattern Recognition (113 citations) and Information Systems (116 citations). Sameh A. Salem has collaborated with scholars based in Egypt, United Kingdom and Italy. Frequent co-authors include Asoke Kumar Nandi, Nancy M. Salem, El-Sayed Mostafa Saad, Walid A. Hanafy, L.B. Jack, Alaa Mahmoud Hamdy, Waleed Al‐Nuaimy, Amr Alhossary, Ali Al-Ataby and Medhat H A Awadalla. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), IEEE Transactions on NanoBioscience, Ain Shams Engineering Journal and ACM Transactions on Embedded Computing Systems.

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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