Zyad Shaaban

About

Zyad Shaaban is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zyad Shaaban has authored 2 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Zyad Shaaban’s work include Chaos-based Image/Signal Encryption (1 paper), Neural Networks and Applications (1 paper) and Data Mining Algorithms and Applications (1 paper). Zyad Shaaban is often cited by papers focused on Chaos-based Image/Signal Encryption (1 paper), Neural Networks and Applications (1 paper) and Data Mining Algorithms and Applications (1 paper). Zyad Shaaban collaborates with scholars based in Jordan. Zyad Shaaban's co-authors include Luai Al-Shalabi and has published in prestigious journals such as International Journal of Automation and Computing and Journal of Computer Science.

In The Last Decade

Co-authorship network of co-authors of Zyad Shaaban i

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Fields of papers citing papers by Zyad Shaaban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zyad Shaaban. 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 Zyad Shaaban. The network helps show where Zyad Shaaban may publish in the future.

Countries citing papers authored by Zyad Shaaban

Since Specialization

Citations

This map shows the geographic impact of Zyad Shaaban'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 Zyad Shaaban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zyad Shaaban 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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