G. Auda

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 8 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in G. Auda’s work include Neural Networks and Applications (8 papers), Fuzzy Logic and Control Systems (3 papers) and Machine Learning and ELM (2 papers). G. Auda is often cited by papers focused on Neural Networks and Applications (8 papers), Fuzzy Logic and Control Systems (3 papers) and Machine Learning and ELM (2 papers). G. Auda collaborates with scholars based in Canada and Kuwait. G. Auda's co-authors include Mohamed S. Kamel, Hazem Raafat, Nayer Wanas, 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

Co-authorship network of co-authors of G. Auda i

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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.

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).

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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