Eshrag Refaee

10 papers and 92 indexed citations i.

About

Eshrag Refaee is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eshrag Refaee has authored 10 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eshrag Refaee’s work include IoT and Edge/Fog Computing (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and COVID-19 diagnosis using AI (1 paper). Eshrag Refaee is often cited by papers focused on IoT and Edge/Fog Computing (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and COVID-19 diagnosis using AI (1 paper). Eshrag Refaee collaborates with scholars based in Saudi Arabia, India and United Kingdom. Eshrag Refaee's co-authors include Verena Rieser, Ali Ahmad, Shashi Kant Gupta, Rajkumar Soundrapandiyan, Marimuthu Karuppiah, R. Janarthanan, Mohammad Alamgir Hossain, Muhammad Azeem and Abdullah Sheneamer and has published in prestigious journals such as Molecular Physics, Applied Sciences and Complexity.

In The Last Decade

Co-authorship network of co-authors of Eshrag Refaee i

Fields of papers citing papers by Eshrag Refaee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eshrag Refaee

Since Specialization
Citations

This map shows the geographic impact of Eshrag Refaee'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 Eshrag Refaee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eshrag Refaee 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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2025