Faten Kharbat

60 total papers · 899 total citations
43 papers, 525 citations indexed

About

Faten Kharbat is a scholar working on Artificial Intelligence, Molecular Biology and Management Information Systems. According to data from OpenAlex, Faten Kharbat has authored 43 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Molecular Biology and 7 papers in Management Information Systems. Recurrent topics in Faten Kharbat's work include Customer Service Quality and Loyalty (6 papers), Evolutionary Algorithms and Applications (5 papers) and Metaheuristic Optimization Algorithms Research (4 papers). Faten Kharbat is often cited by papers focused on Customer Service Quality and Loyalty (6 papers), Evolutionary Algorithms and Applications (5 papers) and Metaheuristic Optimization Algorithms Research (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, Larry Bull, Mohammed Odeh, Shadi Nashwan, Ahmad Al–Qerem, Mahmoud Ahmed, Jamil Razmak, Rana Dajani and Muhammad Moazam Fraz and has published in prestigious journals such as Heliyon, Education and Information Technologies and Frontiers in Medicine.

In The Last Decade

Faten Kharbat

37 papers receiving 488 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Faten Kharbat	126	111	77	74	53	43	525
Wei Dong	113 0.9×	78 0.7×	48 0.6×	40 0.5×	73 1.4×	35	561
Barbara Kump	87 0.7×	77 0.7×	64 0.8×	51 0.7×	19 0.4×	37	599
Verena Dorner	115 0.9×	139 1.3×	13 0.2×	137 1.9×	42 0.8×	31	597
Halina Mohamed Dahlan	138 1.1×	132 1.2×	46 0.6×	48 0.6×	12 0.2×	59	615
Peter Géczy	138 1.1×	156 1.4×	160 2.1×	67 0.9×	13 0.2×	40	613
Leonidas Theodorakopoulos	76 0.6×	95 0.9×	20 0.3×	79 1.1×	16 0.3×	41	466
Milena Ilić	134 1.1×	169 1.5×	81 1.1×	37 0.5×	8 0.2×	42	610
Pierre‐Majorique Léger	47 0.4×	55 0.5×	44 0.6×	166 2.2×	17 0.3×	47	596
Jing Luan	153 1.2×	86 0.8×	47 0.6×	58 0.8×	8 0.2×	26	562
Chandan Kumar Tiwari	178 1.4×	220 2.0×	21 0.3×	93 1.3×	11 0.2×	24	512

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).

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.

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

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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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