Nayer Wanas

16 papers and 97 indexed citations i.

About

Nayer Wanas is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Nayer Wanas has authored 16 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Nayer Wanas’s work include Intelligent Tutoring Systems and Adaptive Learning (5 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nayer Wanas is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (5 papers), Topic Modeling (3 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nayer Wanas collaborates with scholars based in Egypt, Canada and Saudi Arabia. Nayer Wanas's co-authors include Mohamed S. Kamel, Rozita Dara, Hanan Elazhary, Magda B. Fayek, Samir I. Shaheen, G. Auda, Fakhreddine Karray, Ahmed Farouk, Rabie Α. Ramadan and Hani Hagras and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Nayer Wanas i

Fields of papers citing papers by Nayer Wanas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nayer Wanas

Since Specialization
Citations

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