Nabil Sabor

1.4k total citations
47 papers, 917 citations indexed

About

Nabil Sabor is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Nabil Sabor has authored 47 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Computer Networks and Communications and 11 papers in Media Technology. Recurrent topics in Nabil Sabor's work include Advanced Image Processing Techniques (16 papers), Energy Efficient Wireless Sensor Networks (14 papers) and Mobile Ad Hoc Networks (11 papers). Nabil Sabor is often cited by papers focused on Advanced Image Processing Techniques (16 papers), Energy Efficient Wireless Sensor Networks (14 papers) and Mobile Ad Hoc Networks (11 papers). Nabil Sabor collaborates with scholars based in Egypt, China and Japan. Nabil Sabor's co-authors include Mohammed Abo‐Zahhad, Shigenobu Sasaki, Sabah M. Ahmed, Garas Gendy, Guanghui He, Sabah M. Ahmed, Guoxing Wang, Yong Lian, Gamal M. Mahmoud and Mansour E. Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Nabil Sabor

45 papers receiving 874 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nabil Sabor Egypt 17 587 387 194 121 95 47 917
Aziza I. Hussein Egypt 14 146 0.2× 203 0.5× 168 0.9× 22 0.2× 120 1.3× 76 622
Om Jee Pandey India 15 306 0.5× 335 0.9× 71 0.4× 13 0.1× 90 0.9× 71 665
Rashid Rashidzadeh Canada 14 147 0.3× 749 1.9× 38 0.2× 48 0.4× 144 1.5× 78 884
Giuseppe Tagliavini Italy 18 217 0.4× 503 1.3× 205 1.1× 9 0.1× 57 0.6× 53 884
Yangjie Cao China 11 128 0.2× 134 0.3× 152 0.8× 25 0.2× 94 1.0× 68 568
Teng Wei United States 12 128 0.2× 657 1.7× 83 0.4× 116 1.0× 80 0.8× 21 823
Xingzhong Xiong China 12 167 0.3× 210 0.5× 156 0.8× 32 0.3× 50 0.5× 87 753
Neetu Sood India 12 335 0.6× 267 0.7× 89 0.5× 6 0.0× 97 1.0× 52 571
M. Sultan Zia Pakistan 13 108 0.2× 214 0.6× 170 0.9× 51 0.4× 78 0.8× 25 704
Marc Renaudin France 14 81 0.1× 306 0.8× 52 0.3× 33 0.3× 123 1.3× 40 524

Countries citing papers authored by Nabil Sabor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Nabil Sabor

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Sabor. A scholar is included among the top collaborators of Nabil Sabor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nabil Sabor. Nabil Sabor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gendy, Garas & Nabil Sabor. (2025). Fourier-based degradation-aware transformer-style network for blind image super-resolution. International Journal of Machine Learning and Cybernetics. 16(10). 8007–8020.
2.
Gendy, Garas, Guanghui He, & Nabil Sabor. (2024). Efficient image super-resolution based on transformer with bidirectional interaction. Applied Soft Computing. 165. 112039–112039. 7 indexed citations
3.
Gendy, Garas, Guanghui He, & Nabil Sabor. (2024). Diffusion models for image super-resolution: State-of-the-art and future directions. Neurocomputing. 617. 128911–128911. 5 indexed citations
4.
Gendy, Garas, et al.. (2024). Lightweight image super-resolution network based on dynamic graph message passing and convolution mixer. Expert Systems with Applications. 263. 125683–125683. 6 indexed citations
5.
Gendy, Garas, Nabil Sabor, & Guanghui He. (2024). Lightweight image super-resolution network based on extended convolution mixer. Engineering Applications of Artificial Intelligence. 133. 108069–108069. 12 indexed citations
6.
Sabor, Nabil & Mohamed AbdelRaheem. (2023). CMNN-RADC: A Crowdsensing Convolutional-based Mixer Neural Network Road Anomalies Detector and Classifier. Internet of Things. 22. 100771–100771. 3 indexed citations
7.
Gendy, Garas, Nabil Sabor, & Guanghui He. (2023). Lightweight image super-resolution based multi-order gated aggregation network. Neural Networks. 166. 286–295. 18 indexed citations
8.
Gendy, Garas, Guanghui He, & Nabil Sabor. (2023). Lightweight image super-resolution based on deep learning: State-of-the-art and future directions. Information Fusion. 94. 284–310. 44 indexed citations
9.
Chen, Hai‐Bao, et al.. (2023). Meta-Analysis of Pulse Transition Features in Non-Invasive Blood Pressure Estimation Systems: Bridging Physiology and Engineering Perspectives. IEEE Transactions on Biomedical Circuits and Systems. 17(6). 1257–1281. 2 indexed citations
10.
Shokair, Mona, et al.. (2021). Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks. 30(1). 1–12. 3 indexed citations
11.
Gendy, Garas, et al.. (2021). A Deep Pyramid Attention Network for Single Image Super-resolution. 14–19. 9 indexed citations
12.
Sabor, Nabil. (2019). Gradient Immune-based Sparse Signal Reconstruction Algorithm for Compressive Sensing. Applied Soft Computing. 88. 106032–106032. 7 indexed citations
13.
Sabor, Nabil, Sabah M. Ahmed, Mohammed Abo‐Zahhad, & Shigenobu Sasaki. (2017). ARBIC: An Adjustable Range Based Immune hierarchy Clustering protocol supporting mobility of Wireless Sensor Networks. Pervasive and Mobile Computing. 43. 27–48. 26 indexed citations
14.
Sabor, Nabil, Shigenobu Sasaki, Mohammed Abo‐Zahhad, & Sabah M. Ahmed. (2017). A Comprehensive Survey on Hierarchical-Based Routing Protocols for Mobile Wireless Sensor Networks: Review, Taxonomy, and Future Directions. Wireless Communications and Mobile Computing. 2017. 1–23. 115 indexed citations
15.
Sabor, Nabil, Shigenobu Sasaki, Mohammed Abo‐Zahhad, & Sabah M. Ahmed. (2016). A Graphical-based educational simulation tool for Wireless Sensor Networks. Simulation Modelling Practice and Theory. 69. 55–79. 6 indexed citations
16.
Abo‐Zahhad, Mohammed, Nabil Sabor, Shigenobu Sasaki, & Sabah M. Ahmed. (2015). A centralized immune-Voronoi deployment algorithm for coverage maximization and energy conservation in mobile wireless sensor networks. Information Fusion. 30. 36–51. 80 indexed citations
17.
Abo‐Zahhad, Mohammed, Sabah M. Ahmed, & Nabil Sabor. (2015). Wavelet Threshold-Based ECG Data Compression Technique Using Immune Optimization Algorithm. International Journal of Signal Processing Image Processing and Pattern Recognition. 8(2). 347–360. 4 indexed citations
18.
Abo‐Zahhad, Mohammed, Sabah M. Ahmed, Nabil Sabor, & Ahmad F. Al‐Ajlouni. (2012). A New Method for Fastening the Convergence of Immune Algorithms Using an Adaptive Mutation Approach. Journal of Signal and Information Processing. 3(1). 86–91. 4 indexed citations
19.
20.
Mahmoud, Gamal M., Mansour E. Ahmed, & Nabil Sabor. (2011). ON AUTONOMOUS AND NONAUTONOMOUS MODIFIED HYPERCHAOTIC COMPLEX LÜ SYSTEMS. International Journal of Bifurcation and Chaos. 21(7). 1913–1926. 19 indexed citations

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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