G. Auda

601 total citations
16 papers, 369 citations indexed

About

G. Auda is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, G. Auda has authored 16 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in G. Auda's work include Neural Networks and Applications (14 papers), Face and Expression Recognition (5 papers) and Machine Learning and ELM (4 papers). G. Auda is often cited by papers focused on Neural Networks and Applications (14 papers), Face and Expression Recognition (5 papers) and Machine Learning and ELM (4 papers). G. Auda collaborates with scholars based in Canada, Kuwait and Egypt. G. Auda's co-authors include Mohamed S. Kamel, Nayer Wanas, Fakhri Karray, Hazem Raafat, Ahmed M. Darwish, Fakhreddine Karray and Ahmed El‐Rabbany and has published in prestigious journals such as Neurocomputing, Pattern Recognition Letters and Journal of Intelligent & Robotic Systems.

In The Last Decade

G. Auda

16 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Auda Canada 10 201 99 55 41 40 16 369
Norbert Jankowski Poland 9 272 1.4× 76 0.8× 32 0.6× 31 0.8× 54 1.4× 30 429
Muhammad Zubair Rehman Malaysia 9 159 0.8× 57 0.6× 55 1.0× 24 0.6× 39 1.0× 31 419
Kai-Bo Duan Singapore 3 184 0.9× 151 1.5× 53 1.0× 13 0.3× 73 1.8× 4 513
Yangguang Liu China 11 220 1.1× 96 1.0× 47 0.9× 63 1.5× 30 0.8× 52 468
Frauke Friedrichs Germany 5 218 1.1× 90 0.9× 47 0.9× 13 0.3× 57 1.4× 7 421
Robert E. Banfield United States 8 323 1.6× 104 1.1× 29 0.5× 49 1.2× 33 0.8× 12 514
Hongfang Zhou China 8 241 1.2× 108 1.1× 39 0.7× 19 0.5× 33 0.8× 21 471
Jaber S. Alzahrani Saudi Arabia 12 163 0.8× 91 0.9× 41 0.7× 32 0.8× 30 0.8× 67 481

Countries citing papers authored by G. Auda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of G. Auda

This figure shows the co-authorship network connecting the top 25 collaborators of G. Auda. A scholar is included among the top collaborators of G. Auda 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 G. Auda. G. Auda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Auda, G., et al.. (2003). Learning decision fusion in cooperative modular neural networks. 4. 2777–2781. 5 indexed citations
2.
Wanas, Nayer, G. Auda, Mohamed S. Kamel, & Fakhri Karray. (2002). On the optimal number of hidden nodes in a neural network. 2. 918–921. 107 indexed citations
3.
Auda, G. & Mohamed S. Kamel. (2002). CMNN: cooperative modular neural network. Proceedings of International Conference on Neural Networks (ICNN'97). 1. 226–231. 9 indexed citations
4.
Auda, G., Mohamed S. Kamel, & Hazem Raafat. (2002). A new neural network structure with cooperative modules. 3. 1301–1306. 7 indexed citations
5.
Darwish, Ahmed M. & G. Auda. (2002). A new composite feature vector for Arabic handwritten signature recognition. ii. II/613–II/616. 9 indexed citations
6.
Auda, G. & Hazem Raafat. (2002). An automatic text reader using neural networks. 92–95. 2 indexed citations
7.
Auda, G., Mohamed S. Kamel, & Hazem Raafat. (2002). Voting schemes for cooperative neural network classifiers. 3. 1240–1243. 24 indexed citations
8.
El‐Rabbany, Ahmed, et al.. (2002). Predicting Sea Ice Conditions using Neural Networks. Journal of Navigation. 55(1). 137–143. 1 indexed citations
9.
Auda, G. & Mohamed S. Kamel. (2002). EVOL: ensembles voting online. 2. 1356–1360. 3 indexed citations
10.
Auda, G., Mohamed S. Kamel, & Hazem Raafat. (2002). Modular neural network architectures for classification. Proceedings of International Conference on Neural Networks (ICNN'96). 2. 1279–1284. 15 indexed citations
11.
Auda, G. & Mohamed S. Kamel. (1999). MODULAR NEURAL NETWORKS: A SURVEY. International Journal of Neural Systems. 9(2). 129–151. 80 indexed citations
12.
Wanas, Nayer, Mohamed S. Kamel, G. Auda, & Fakhreddine Karray. (1999). Feature-based decision aggregation in modular neural network classifiers. Pattern Recognition Letters. 20(11-13). 1353–1359. 13 indexed citations
13.
Auda, G. & Mohamed S. Kamel. (1998). Modular Neural Network Classifiers: A Comparative Study. Journal of Intelligent & Robotic Systems. 21(2). 117–129. 42 indexed citations
14.
Auda, G. & Mohamed S. Kamel. (1998). CMNN: Cooperative Modular Neural Networks. Neurocomputing. 20(1-3). 189–207. 14 indexed citations
15.
Auda, G. & Mohamed S. Kamel. (1997). CMNN: Cooperative Modular Neural Networks for pattern recognition. Pattern Recognition Letters. 18(11-13). 1391–1398. 31 indexed citations
16.
Auda, G., et al.. (1996). Cooperative modular neural network classifiers. 7 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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