Mohamed Saber

801 citations
49 papers · 498 indexed · h-index 11

Mohamed Saber

39 papers receiving 452 citations

Peers

Mohamed Saber
Comparison fields: 5 of 95
  • Virology 87
  • Artificial Intelligence 172
  • Signal Processing 48
  • Computer Vision and Pattern Recognition 87
  • Computer Networks and Communications 78
Replace Asmaa H. Rabie with:
Asmaa H. Rabie Egypt
Joseph Stephen Bassi Malaysia
Yuxin Jiang China
Yusen Zhu China
Hengzhen Zhang China
Xin Zeng China
M. El-Said Egypt
M. N. S. Swamy Canada
Lisheng Wei China
Rameswar Debnath Bangladesh
Mohamed Saber relative to Asmaa H. Rabie Egypt Asmaa H. Rabie's profile →
Citations per field
00.5×
Asmaa H. Rabie · 1×
Citations per year

Countries citing papers authored by Mohamed Saber

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Saber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mohamed Saber, 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 Mohamed Saber Line = papers co-authored together Mohamed Saber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20240
5 202326
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7 20232
8 202328
9 20220
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11 20220
12 20227
13 20228
14 20224
15 202215
16 202029
17 202014
18 20204
19
Land surface analysis of salt affected soils using DEM and GIS
20163
20 200413

About Mohamed Saber

Mohamed Saber is a scholar working on Signal Processing, Health Information Management and Virology, having authored 49 papers that have together received 498 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (4 papers), Advancements in PLL and VCO Technologies (4 papers), EEG and Brain-Computer Interfaces (4 papers), Network Security and Intrusion Detection (3 papers), Reservoir Engineering and Simulation Methods (3 papers), Wireless Communication Networks Research (3 papers), Analog and Mixed-Signal Circuit Design (3 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). The work is most often cited by research in Virology (87 citations), Artificial Intelligence (172 citations) and Signal Processing (48 citations). Mohamed Saber has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Marwa M. Eid, El‐Sayed M. El‐kenawy, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Abdelaziz A. Abdelhamid, Doaa Sami Khafaga, Nima Khodadadi, Amal H. Alharbi, Seyedali Mirjalili, Pedro H. J. Nardelli and Arun Narayanan. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Ad Hoc Networks, Scientific Reports, Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment and IEEE Access.

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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