Hatem A. Fayed
Impact in
- Architecture top 5%
- Architecture and Computational Design
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
- Metaheuristic Optimization Algorithms Research
- Anomaly Detection Techniques and Applications
Papers in
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- Face and Expression Recognition 6
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- Machine Learning and Data Classification 3
- Metaheuristic Optimization Algorithms Research 2
- Imbalanced Data Classification Techniques 1
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Amir F. Atiya (9 shared papers)S. Hashem (2 shared papers)Doaa Shawky (2 shared papers)Ashraf Badawi (1 shared paper)Dina Elreedy (1 shared paper)Mohamed Saleh (1 shared paper)
- Journals
- Applied Soft Computing (2 papers)Mathematics of Computation (2 papers)Computational Optimization and Applications (1 paper)Journal of Simulation (1 paper)Sustainable Cities and Society (1 paper)
- Partner nations
- Egypt
In The Last Decade
Hatem A. Fayed
12 papers receiving 398 citations
Peers
Comparison fields: 5 of 103
- Architecture 16
- Artificial Intelligence 173
- Computer Vision and Pattern Recognition 87
- Building and Construction 52
- Environmental Engineering 36
Countries citing papers authored by Hatem A. Fayed
This map shows the geographic impact of Hatem A. Fayed'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 Hatem A. Fayed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatem A. Fayed more than expected).
Fields of papers citing papers by Hatem A. Fayed
This network shows the impact of papers produced by Hatem A. Fayed. 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 Hatem A. Fayed. The network helps show where Hatem A. Fayed may publish in the future.
Co-authors
The 6 scholars most cited alongside Hatem A. Fayed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 166 | |
| 2 | 2009 | 96 | |
| 3 | 2011 | 43 | |
| 4 | 2007 | 36 | |
| 5 | 2020 | 19 | |
| 6 | 2013 | 16 | |
| 7 | 2021 | 16 | |
| 8 | 2012 | 10 | |
| 9 | 2014 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2009 | 1 | |
| 13 | 2018 | 0 |
About Hatem A. Fayed
Hatem A. Fayed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Cardiology and Cardiovascular Medicine and Management Information Systems, having authored 13 papers that have together received 413 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Machine Learning and Data Classification (3 papers), Advanced Algorithms and Applications (3 papers), Metaheuristic Optimization Algorithms Research (2 papers), Imbalanced Data Classification Techniques (1 paper), Numerical Methods and Algorithms (1 paper), Sentiment Analysis and Opinion Mining (1 paper) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Architecture (16 citations), Artificial Intelligence (173 citations), Computer Vision and Pattern Recognition (87 citations), Building and Construction (52 citations) and Environmental Engineering (36 citations). Hatem A. Fayed has collaborated with scholars based in Egypt. Frequent co-authors include Amir F. Atiya, S. Hashem, Doaa Shawky, Ashraf Badawi, Dina Elreedy and Mohamed Saleh. Their work appears in journals such as Applied Soft Computing, Mathematics of Computation, Computational Optimization and Applications, Journal of Simulation and Sustainable Cities and Society.
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.