Faten Kharbat

24 papers and 319 indexed citations i.

About

Faten Kharbat is a scholar working on Artificial Intelligence, Molecular Biology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Faten Kharbat has authored 24 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Faten Kharbat’s work include Customer Service Quality and Loyalty (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Faten Kharbat is often cited by papers focused on Customer Service Quality and Loyalty (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (4 papers). Faten Kharbat collaborates with scholars based in United Arab Emirates, Jordan and United Kingdom. Faten Kharbat's co-authors include Amer Qasim, M. Lynn Woolsey, Mohammed Odeh, Larry Bull, Ahmad Al–Qerem, Rana Dajani, Asem Mansour, Nancy Hakooz, Charles H. Bélanger and Omar Shamieh and has published in prestigious journals such as Heliyon, Frontiers in Medicine and Education and Information Technologies.

In The Last Decade

Co-authorship network of co-authors of Faten Kharbat i

Fields of papers citing papers by Faten Kharbat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Faten Kharbat

Since Specialization
Citations

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