G. Auda
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Machine Learning and ELM
- Metaheuristic Optimization Algorithms Research
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 15
- Fuzzy Logic and Control Systems 5
- Machine Learning and ELM 4
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- Face and Expression Recognition 5
- Handwritten Text Recognition Techniques 3
- Image Retrieval and Classification Techniques 2
- Co-authors
- Mohamed S. Kamel (13 shared papers)Nayer Wanas (2 shared papers)Fakhri Karray (1 shared paper)Hazem M. Raafat (4 shared papers)Ahmed Mohamed Darwish (1 shared paper)Fakhreddine O. Karray (1 shared paper)Ahmed El‐Rabbany (1 shared paper)
In The Last Decade
G. Auda
16 papers receiving 407 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 257
- Computer Vision and Pattern Recognition 125
- Signal Processing 48
- Media Technology 26
- Environmental Engineering 33
Countries citing papers authored by G. Auda
This map shows the geographic impact of G. Auda'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 G. Auda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Auda more than expected).
Fields of papers citing papers by G. Auda
This network shows the impact of papers produced by G. Auda. 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 G. Auda. The network helps show where G. Auda may publish in the future.
Co-authors
The 7 scholars most cited alongside G. Auda, 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 | 2002 | 113 | |
| 2 | 1999 | 99 | |
| 3 | 1998 | 54 | |
| 4 | 1997 | 41 | |
| 5 | 2002 | 26 | |
| 6 | 1999 | 17 | |
| 7 | 2002 | 17 | |
| 8 | 1998 | 17 | |
| 9 | 2002 | 11 | |
| 10 | 2002 | 10 | |
| 11 | 2002 | 9 | |
| 12 | Cooperative modular neural network classifiers | 1996 | 9 |
| 13 | 2002 | 8 | |
| 14 | 2003 | 5 | |
| 15 | 2002 | 3 | |
| 16 | 2002 | 1 | |
| 17 | 2001 | 0 |
About G. Auda
G. Auda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Neurology, having authored 17 papers that have together received 440 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Face and Expression Recognition (5 papers), Fuzzy Logic and Control Systems (5 papers), Machine Learning and ELM (4 papers), Advanced Decision-Making Techniques (3 papers), Handwritten Text Recognition Techniques (3 papers), Image Retrieval and Classification Techniques (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Artificial Intelligence (257 citations), Computer Vision and Pattern Recognition (125 citations), Signal Processing (48 citations), Media Technology (26 citations) and Environmental Engineering (33 citations). G. Auda has collaborated with scholars based in Canada, Kuwait and Japan. Frequent co-authors include Mohamed S. Kamel, Nayer Wanas, Fakhri Karray, Hazem M. Raafat, Ahmed Mohamed Darwish, Fakhreddine O. Karray and Ahmed El‐Rabbany. Their work appears in journals such as Pattern Recognition Letters, Journal of Intelligent & Robotic Systems, Neurocomputing, Journal of Navigation and International Journal of Neural Systems.
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.