Nabil Sabor
Impact in
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- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Security in Wireless Sensor Networks
- Media Technology top 5%
Papers in
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- Advanced Image Processing Techniques 16
- Image and Signal Denoising Methods 9
- Advanced Vision and Imaging 8
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- Energy Efficient Wireless Sensor Networks 14
- Mobile Ad Hoc Networks 11
- Co-authors
- Mohammed Abo‐Zahhad (14 shared papers)Shigenobu Sasaki (11 shared papers)Sabah M. Ahmed (12 shared papers)Garas Gendy (18 shared papers)Guanghui He (12 shared papers)Guoxing Wang (9 shared papers)Sabah M. Ahmed (2 shared papers)Yong Lian (3 shared papers)
In The Last Decade
Nabil Sabor
48 papers receiving 910 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 589
- Media Technology 126
- Computer Vision and Pattern Recognition 199
- Electrical and Electronic Engineering 391
- Cognitive Neuroscience 51
Countries citing papers authored by Nabil Sabor
This map shows the geographic impact of Nabil Sabor'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 Nabil Sabor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nabil Sabor more than expected).
Fields of papers citing papers by Nabil Sabor
This network shows the impact of papers produced by Nabil Sabor. 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 Nabil Sabor. The network helps show where Nabil Sabor may publish in the future.
Co-authors
The 25 scholars most cited alongside Nabil Sabor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 155 | |
| 2 | 2017 | 116 | |
| 3 | 2015 | 80 | |
| 4 | 2016 | 70 | |
| 5 | 2014 | 60 | |
| 6 | 2023 | 46 | |
| 7 | 2022 | 34 | |
| 8 | 2015 | 28 | |
| 9 | 2014 | 27 | |
| 10 | 2017 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2022 | 23 | |
| 13 | 2023 | 21 | |
| 14 | 2023 | 20 | |
| 15 | 2023 | 20 | |
| 16 | 2011 | 19 | |
| 17 | 2024 | 16 | |
| 18 | 2021 | 16 | |
| 19 | 2020 | 13 | |
| 20 | 2010 | 10 |
About Nabil Sabor
Nabil Sabor is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Media Technology, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 49 papers that have together received 948 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (16 papers), Energy Efficient Wireless Sensor Networks (14 papers), Mobile Ad Hoc Networks (11 papers), Image and Signal Denoising Methods (9 papers), Advanced Vision and Imaging (8 papers), ECG Monitoring and Analysis (7 papers), Image Processing Techniques and Applications (6 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Computer Networks and Communications (589 citations), Media Technology (126 citations), Computer Vision and Pattern Recognition (199 citations), Electrical and Electronic Engineering (391 citations) and Cognitive Neuroscience (51 citations). Nabil Sabor has collaborated with scholars based in Egypt, China and Japan. Frequent co-authors include Mohammed Abo‐Zahhad, Shigenobu Sasaki, Sabah M. Ahmed, Garas Gendy, Guanghui He, Guoxing Wang, Sabah M. Ahmed, Yong Lian, El‐Sayed M. El‐Rabaie and Mansour E. Ahmed. Their work appears in journals such as Applied Soft Computing, Neurocomputing, Neural Computing and Applications, Information Fusion and Pervasive and Mobile Computing.
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.