Faisal Aburub

1.0k total citations
36 papers, 515 citations indexed

About

Faisal Aburub is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence. According to data from OpenAlex, Faisal Aburub has authored 36 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 8 papers in Information Systems and 8 papers in Artificial Intelligence. Recurrent topics in Faisal Aburub's work include Business Process Modeling and Analysis (6 papers), Service-Oriented Architecture and Web Services (4 papers) and Artificial Intelligence in Healthcare (3 papers). Faisal Aburub is often cited by papers focused on Business Process Modeling and Analysis (6 papers), Service-Oriented Architecture and Web Services (4 papers) and Artificial Intelligence in Healthcare (3 papers). Faisal Aburub collaborates with scholars based in Jordan, Saudi Arabia and Malaysia. Faisal Aburub's co-authors include Ibrahim Alnawas, Wael Hadi, Samer Alhawari, Mohammed Odeh, Amjad Aldweesh, Ahmad Al–Qerem, Mohammad Alauthman, Tareq Alhmiedat, Mayyas Al‐Remawi and Rami A. Abdel‐Rahem and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Journal of Retailing and Consumer Services.

In The Last Decade

Faisal Aburub

28 papers receiving 487 citations

Peers

Faisal Aburub
Faisal Aburub
Citations per year, relative to Faisal Aburub Faisal Aburub (= 1×) peers Sven Overhage

Countries citing papers authored by Faisal Aburub

Since Specialization
Citations

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

Fields of papers citing papers by Faisal Aburub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faisal Aburub

This figure shows the co-authorship network connecting the top 25 collaborators of Faisal Aburub. A scholar is included among the top collaborators of Faisal Aburub 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 Faisal Aburub. Faisal Aburub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Al-Khawaja, Haneen A., et al.. (2025). Solutions for Insider Trading and Regulatory Challenges in Financial Governance. Data & Metadata. 4. 680–680.
3.
Al–Qerem, Ahmad, et al.. (2025). Feature Selection in Socio-Economic Analysis: A Multi-Method Approach for Accurate Predictive Outcomes. SHILAP Revista de lepidopterología. 9(1). 64–78. 2 indexed citations
5.
Al‐Akayleh, Faisal, et al.. (2025). AI-Driven Tools and Methods for Wound Healing: Towards Precision Wound Care and Optimized Outcomes. 1–5. 1 indexed citations
6.
Al–Qerem, Ahmad, et al.. (2025). Enhancing Organizational Performance: Synergy of Cyber-Physical Systems, Cloud Services, and Crowdsensing. SHILAP Revista de lepidopterología. 9(1). 44–55. 1 indexed citations
7.
Aburub, Faisal, et al.. (2024). Fuzzy Clustering for Economic Data Mining: Mathematical Algorithmic Interpretations. Journal of Posthumanism. 4(2). 1 indexed citations
9.
Al‐Remawi, Mayyas, et al.. (2024). Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants. Heliyon. 10(24). e40925–e40925. 4 indexed citations
11.
Alauthman, Mohammad, et al.. (2023). Tabular Data Generation to Improve Classification of Liver Disease Diagnosis. Applied Sciences. 13(4). 2678–2678. 9 indexed citations
12.
Ali, Ali Mohd, et al.. (2023). Explainable Machine Learning Approach for Hepatitis C Diagnosis Using SFS Feature Selection. Machines. 11(3). 391–391. 13 indexed citations
13.
Alauthman, Mohammad, et al.. (2023). Early Wildfire Smoke Detection Using Different YOLO Models. Machines. 11(2). 246–246. 48 indexed citations
14.
Aburub, Faisal, et al.. (2022). Impact of ERP usage on service differentiation: role of mediating effect of organizational agility. Arab Gulf Journal of Scientific Research. 41(3). 359–375. 13 indexed citations
16.
Aburub, Faisal & Wael Hadi. (2018). A New Associative Classification Algorithm for Predicting Groundwater Locations. Journal of Information & Knowledge Management. 17(4). 1850043–1850043. 6 indexed citations
17.
Aburub, Faisal. (2015). Impact of ERP systems usage on organizational agility. Information Technology and People. 28(3). 570–588. 48 indexed citations
18.
Aburub, Faisal. (2014). Business Process Improvement Methodology Based on Business Process Modelling - Case Study from Healthcare Sector.. 310–317.
19.
Aburub, Faisal. (2012). Activity-based approach to derive system models from business process models. International Conference on Information Society. 268–273. 2 indexed citations
20.
Aburub, Faisal, et al.. (2006). Modelling non-functional requirements of business processes. Information and Software Technology. 49(11-12). 1162–1171. 47 indexed citations

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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