Adel Alkhalil

463 total citations
19 papers, 267 citations indexed

About

Adel Alkhalil is a scholar working on Information Systems, Management Information Systems and Computer Networks and Communications. According to data from OpenAlex, Adel Alkhalil has authored 19 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Management Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Adel Alkhalil's work include Cloud Computing and Resource Management (6 papers), Big Data and Business Intelligence (5 papers) and Cloud Data Security Solutions (5 papers). Adel Alkhalil is often cited by papers focused on Cloud Computing and Resource Management (6 papers), Big Data and Business Intelligence (5 papers) and Cloud Data Security Solutions (5 papers). Adel Alkhalil collaborates with scholars based in Saudi Arabia, Egypt and United Kingdom. Adel Alkhalil's co-authors include Reza Sahandi, Rabie Α. Ramadan, David John, Abdulaziz Aljaloud, Diaa Uliyan, Paul Kwan, Yasser Omar, Aakash Ahmad, Ahmed B. Altamimi and Abdallah Ghourabi and has published in prestigious journals such as IEEE Access, Complexity and IT Professional.

In The Last Decade

Adel Alkhalil

18 papers receiving 245 citations

Peers

Adel Alkhalil

CNC

ISM

MIS

Kamal Kant Hiran Denmark

Albertas Čaplinskas Lithuania

Bogdan Ghilic-Micu Romania

Wolffried Stucky Germany

Mārīte Kirikova Latvia

Daniel Bachlechner Austria

Marian Stoica Romania

Vasile Paul Breşfelean Romania

Ahmad Nurul Fajar Indonesia

Gerrit Tamm Germany

Kamal Kant Hiran Denmark

Adel Alkhalil

77 ×0.7

66 ×1.0

23 ×0.4

CNC

107 ×1.8

ISM

43 ×0.8

MIS

Citations per year, relative to Adel Alkhalil Adel Alkhalil (= 1×) peers Kamal Kant Hiran

Countries citing papers authored by Adel Alkhalil

Since Specialization

Citations

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

Fields of papers citing papers by Adel Alkhalil

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adel Alkhalil

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

All Works

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19 of 19 papers shown

Gasmi, Karim, Adel Alkhalil, Ibrahim Alrashdi, et al.. (2025). Federated and ensemble learning framework with optimized feature selection for heart disease detection. AIMS Mathematics. 10(3). 7290–7318. 1 indexed citations

Ghourabi, Abdallah & Adel Alkhalil. (2025). A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks. IEEE Access. 13. 123018–123030. 1 indexed citations

Alkhalil, Adel, et al.. (2024). A deep learning model for detection and classification of coffee-leaf diseases using the transfer-learning technique. International Journal of Advances in Intelligent Informatics. 10(3). 379–379.

Aljaloud, Abdulaziz, et al.. (2022). A Deep Learning Model to Predict Student Learning Outcomes in LMS Using CNN and LSTM. IEEE Access. 10. 85255–85265. 30 indexed citations

Alkhalil, Adel, et al.. (2021). Handling Imbalance Classification Virtual Screening Big Data Using Machine Learning Algorithms. Complexity. 2021(1). 15 indexed citations

Alkhalil, Adel. (2021). Evolution of existing software to mobile computing platforms: Framework support and case study. International Journal of ADVANCED AND APPLIED SCIENCES. 8(3). 100–111. 3 indexed citations

Alkhalil, Adel, et al.. (2021). Applying Big Data Analytics in Higher Education. International Journal of Information and Communication Technology Education. 17(3). 29–51. 22 indexed citations

Ahmad, Aakash, et al.. (2021). Modernizing Legacy Software as Context—Sensitive and Portable Mobile-Enabled Application. IT Professional. 23(1). 42–50. 3 indexed citations

Alkhalil, Adel. (2021). Decision support model to adopt big data analytics in higher education systems. International Journal of ADVANCED AND APPLIED SCIENCES. 8(6). 67–78. 3 indexed citations

10.

Uliyan, Diaa, et al.. (2021). Deep Learning Model to Predict Students Retention Using BLSTM and CRF. IEEE Access. 9. 135550–135558. 20 indexed citations

11.

Ahmad, Aakash, et al.. (2020). Migration of existing software systems to mobile computing platforms: a systematic mapping study. Frontiers of Computer Science. 15(2). 5 indexed citations

12.

Alkhalil, Adel, Rabie Α. Ramadan, & Aakash Ahmad. (2019). Bio-inspired Think-and-Share Optimization for Big Data Provenance in Wireless Sensor Networks. International Journal of Advanced Computer Science and Applications. 10(6). 1 indexed citations

13.

Alkhalil, Adel, Reza Sahandi, & David John. (2017). An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model. Journal of Cloud Computing Advances Systems and Applications. 6(1). 53 indexed citations

14.

Alkhalil, Adel & Rabie Α. Ramadan. (2017). IoT Data Provenance Implementation Challenges. Procedia Computer Science. 109. 1134–1139. 47 indexed citations

15.

Alkhalil, Adel, Reza Sahandi, & David John. (2016). A Review of the Current Level of Support to Aid Decisions for Migrating to Cloud Computing. 1–8. 4 indexed citations

16.

Alkhalil, Adel, Reza Sahandi, & David John. (2016). A decision process model to support migration to cloud computing. International Journal of Business Information Systems. 24(1). 102–102. 6 indexed citations

17.

Alkhalil, Adel, Reza Sahandi, & David John. (2016). Migration to Cloud Computing: A Decision Process Model. Bournemouth University Research Online (Bournemouth University). 9 indexed citations

18.

John, David, Reza Sahandi, & Adel Alkhalil. (2016). A decision process model to support migration to cloud computing. International Journal of Business Information Systems. 24(1). 102–102. 2 indexed citations

19.

Sahandi, Reza, et al.. (2013). Cloud Computing from SMEs Perspective: A Survey-based Investigation. 42 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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