Faten Kharbat
- Artificial Intelligence top 10%
- Information Systems top 5%
- Education top 10%
- Management Information Systems top 10%
- Accounting top 10%
- Co-authors
- Amer QasimM. Lynn WoolseyLarry BullMohammed OdehShadi NashwanAhmad Al–QeremMahmoud AhmedJamil Razmak
- Topics
- Customer Service Quality and Loyalty (6 papers)Evolutionary Algorithms and Applications (5 papers)Metaheuristic Optimization Algorithms Research (4 papers)
- Partner nations
- United Arab EmiratesJordanUnited Kingdom
In The Last Decade
Faten Kharbat
37 papers receiving 493 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 128
- Information Systems 110
- Education 77
- Management Information Systems 75
- Accounting 54
Countries citing papers authored by Faten Kharbat
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).
Fields of papers citing papers by Faten Kharbat
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.
Co-authorship network of co-authors of Faten Kharbat
This figure shows the co-authorship network connecting the top 25 collaborators of Faten Kharbat. A scholar is included among the top collaborators of Faten Kharbat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Faten Kharbat. Faten Kharbat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 47 | |
| 9 | 5 | |
| 10 | 87 | |
| 11 | Using E-Portfolio to Augment Students' Learning: An Experimental Study from the United Arab Emirates | 1 |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 54 | |
| 16 | 133 | |
| 17 | 2 | |
| 18 | Telecom Churn Prediction Model Using Data Mining Techniques | 4 |
| 19 | A New Hybrid Architecture for the Discovery and Compaction of Knowledge: Breast Cancer Datasets Case Study | 3 |
| 20 | A new hybrid architecture for the discovery and compaction of knowledge from breast cancer datasets | 5 |
About Faten Kharbat
Faten Kharbat is a scholar working on Management Information Systems, Health Informatics and Organizational Behavior and Human Resource Management, having authored 43 papers that have together received 530 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (6 papers), Evolutionary Algorithms and Applications (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Health Informatics (17 citations), Management Information Systems (75 citations) and Computer Science Applications (33 citations). Faten Kharbat has collaborated with scholars based in United Arab Emirates, Jordan and United Kingdom. Frequent co-authors include Amer Qasim, M. Lynn Woolsey, Larry Bull, Mohammed Odeh, Shadi Nashwan, Ahmad Al–Qerem, Mahmoud Ahmed, Jamil Razmak, Rana Dajani and Abdelghani Tbakhi. Their work appears in journals such as Heliyon, Education and Information Technologies and Frontiers in Medicine.
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.