Ahmed El-Sayed

761 total citations
30 papers, 380 citations indexed

About

Ahmed El-Sayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ahmed El-Sayed has authored 30 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ahmed El-Sayed's work include Manufacturing Process and Optimization (5 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Topic Modeling (3 papers). Ahmed El-Sayed is often cited by papers focused on Manufacturing Process and Optimization (5 papers), Additive Manufacturing and 3D Printing Technologies (4 papers) and Topic Modeling (3 papers). Ahmed El-Sayed collaborates with scholars based in United States, Canada and Egypt. Ahmed El-Sayed's co-authors include Elif Kongar, Surendra M. Gupta, Tarek Sobh, Ausif Mahmood, Khaled Elleithy, Abdelrahman Elleithy, Miad Faezipour, John Norton, Elsayed Elbeshbishy and Heng Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Energy Conversion and Management.

In The Last Decade

Ahmed El-Sayed

26 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ahmed El-Sayed United States 11 143 73 64 62 51 30 380
Yuming Huang China 8 163 1.1× 85 1.2× 35 0.5× 49 0.8× 38 0.7× 24 339
Teruaki Ito Japan 10 198 1.4× 55 0.8× 42 0.7× 50 0.8× 23 0.5× 97 499
Detlef Gerhard Austria 11 260 1.8× 49 0.7× 50 0.8× 48 0.8× 16 0.3× 46 432
Vincent Havard France 12 224 1.6× 157 2.2× 30 0.5× 85 1.4× 21 0.4× 21 523
Huagang Liang China 5 141 1.0× 117 1.6× 26 0.4× 8 0.1× 24 0.5× 14 332
Sabeur Elkosantini Tunisia 13 146 1.0× 21 0.3× 66 1.0× 133 2.1× 50 1.0× 43 457
Buyun Sheng China 11 200 1.4× 29 0.4× 40 0.6× 19 0.3× 23 0.5× 70 408
Saahil Chand New Zealand 7 325 2.3× 28 0.4× 36 0.6× 12 0.2× 15 0.3× 10 502
Peter Papcun Slovakia 10 141 1.0× 41 0.6× 31 0.5× 19 0.3× 12 0.2× 24 396
Vaibhav Shah Portugal 10 103 0.7× 19 0.3× 49 0.8× 33 0.5× 15 0.3× 27 303

Countries citing papers authored by Ahmed El-Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Ahmed El-Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmed El-Sayed. 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 Ahmed El-Sayed. The network helps show where Ahmed El-Sayed may publish in the future.

Co-authorship network of co-authors of Ahmed El-Sayed

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmed El-Sayed. A scholar is included among the top collaborators of Ahmed El-Sayed 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 Ahmed El-Sayed. Ahmed El-Sayed 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.
Kakar, Farokh Laqa, Ahmed El-Sayed, Andrew H. Marcus, et al.. (2025). Review of full-scale advanced anaerobic digestion in North America. Water Science & Technology. 92(9). 1263–1285.
2.
El-Sayed, Ahmed, et al.. (2025). MINI-DROID-SLAM: Improving Monocular Visual SLAM Using MINI-GRU RNN Network. Sensors. 25(17). 5448–5448.
3.
Mostafa, Alsayed, Ahmed El-Sayed, Rasha Maal‐Bared, Elsayed Elbeshbishy, & Bipro Ranjan Dhar. (2025). Recent Advances in Applying Nanobubbles for Enhanced Anaerobic Digestion: Fundamentals, Challenges, and Future Prospects. BioEnergy Research. 18(1). 1 indexed citations
4.
El-Sayed, Ahmed, Farokh Laqa Kakar, Amr Mustafa Abdelrahman, et al.. (2024). Enhancing anaerobic digestion Efficiency: A comprehensive review on innovative intensification technologies. Energy Conversion and Management. 320. 118979–118979. 28 indexed citations
5.
El-Sayed, Ahmed, Farokh Laqa Kakar, Andrew H. Marcus, et al.. (2024). Application of additives for anaerobic digestion intensification: A comprehensive review on improving biogas production and methane yield. Applied Energy. 381. 125202–125202. 7 indexed citations
6.
El-Sayed, Ahmed, et al.. (2024). AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer Architecture. Big Data and Cognitive Computing. 8(3). 32–32. 7 indexed citations
7.
El-Sayed, Ahmed, et al.. (2023). Leveraging machine learning to enhance climate models: a review. arXiv (Cornell University).
8.
Fung, Yi R., Ahmed El-Sayed, Martha Palmer, et al.. (2022). NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. 6002–6018. 10 indexed citations
9.
Barkana, Buket D., Ahmed El-Sayed, Mark H. Pitcher, et al.. (2022). M-Health System Framework for Diagnosing Inflammatory Breast Cancer with Fuzzy Logic. 93. 1669–1674. 1 indexed citations
10.
Elleithy, Khaled, et al.. (2022). A Hybrid Model for Driver Emotion Detection Using Feature Fusion Approach. International Journal of Environmental Research and Public Health. 19(5). 3085–3085. 25 indexed citations
11.
Barkana, Buket D., Ahmed El-Sayed, Maha Helal, et al.. (2022). Imaging Modalities in Inflammatory Breast Cancer (IBC) Diagnosis: A Computer-Aided Diagnosis System Using Bilateral Mammography Images. Sensors. 23(1). 64–64. 4 indexed citations
12.
El-Sayed, Ahmed, et al.. (2020). Variations in Variational Autoencoders - A Comparative Evaluation. IEEE Access. 8. 153651–153670. 64 indexed citations
13.
Faezipour, Miad, et al.. (2019). Automated Vision-Based High Intraocular Pressure Detection Using Frontal Eye Images. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–13. 10 indexed citations
14.
El-Sayed, Ahmed, et al.. (2019). Evaluating Dimension accuracy of three differently fabricated denture base materials. Egyptian Dental Journal . 65(3). 2635–2640. 1 indexed citations
15.
El-Sayed, Ahmed, et al.. (2019). A Robust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation. Robotics. 8(1). 20–20. 20 indexed citations
16.
Deeb, Ruba S., et al.. (2018). Bridging medical simulation with computer science and engineering: A growing field of study. Nurse Education Today. 71. 1–6. 3 indexed citations
17.
El-Sayed, Ahmed, Elif Kongar, & Surendra M. Gupta. (2015). Fuzzy Linear Physical Programming for Multiple Criteria Decision-Making Under Uncertainty. International Journal of Computers Communications & Control. 11(1). 26–26. 4 indexed citations
18.
El-Sayed, Ahmed, et al.. (2014). 3D Hand Pose Detection. University of Bridgeport ScholarWorks (University of Bridgeport). 1 indexed citations
19.
El-Sayed, Ahmed, Elif Kongar, Surendra M. Gupta, & Tarek Sobh. (2012). A Robotic-Driven Disassembly Sequence Generator for End-Of-Life Electronic Products. Journal of Intelligent & Robotic Systems. 68(1). 43–52. 69 indexed citations
20.
El-Sayed, Ahmed, Elif Kongar, Surendra M. Gupta, & Tarek Sobh. (2011). An Online Genetic Algorithm for Automated Disassembly Sequence Generation. 657–664. 15 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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