Feras M. Awaysheh

1.1k total citations
40 papers, 668 citations indexed

About

Feras M. Awaysheh is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Feras M. Awaysheh has authored 40 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Information Systems and 16 papers in Computer Networks and Communications. Recurrent topics in Feras M. Awaysheh's work include Privacy-Preserving Technologies in Data (11 papers), Blockchain Technology Applications and Security (7 papers) and IoT and Edge/Fog Computing (6 papers). Feras M. Awaysheh is often cited by papers focused on Privacy-Preserving Technologies in Data (11 papers), Blockchain Technology Applications and Security (7 papers) and IoT and Edge/Fog Computing (6 papers). Feras M. Awaysheh collaborates with scholars based in Estonia, Sweden and Spain. Feras M. Awaysheh's co-authors include Sadi Alawadi, Mamoun Alazab, José C. Cabaleiro, Tomás F. Pena, Maanak Gupta, Mohammad Dahman Alshehri, Hussam N. Fakhouri, Mariam Ibrahim, Faten Hamad and Victor R. Kebande and has published in prestigious journals such as Scientific Reports, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Feras M. Awaysheh

35 papers receiving 635 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feras M. Awaysheh Estonia 13 286 285 258 127 71 40 668
Sandeep Joshi India 10 180 0.6× 354 1.2× 216 0.8× 104 0.8× 27 0.4× 50 701
Yunhua He China 13 277 1.0× 492 1.7× 259 1.0× 145 1.1× 54 0.8× 37 724
Jianxiong Wan China 12 292 1.0× 613 2.2× 440 1.7× 149 1.2× 55 0.8× 50 883
Panagiotis Gouvas Greece 13 115 0.4× 232 0.8× 312 1.2× 117 0.9× 36 0.5× 44 526
Marco Steger Austria 7 165 0.6× 558 2.0× 311 1.2× 277 2.2× 35 0.5× 10 716
Ao Lei United Kingdom 9 197 0.7× 478 1.7× 366 1.4× 352 2.8× 38 0.5× 17 747
Esther Palomar Spain 13 150 0.5× 246 0.9× 228 0.9× 99 0.8× 63 0.9× 37 532
Anju Bala India 14 190 0.7× 445 1.6× 426 1.7× 100 0.8× 15 0.2× 71 766
Philip Asuquo United Kingdom 11 213 0.7× 493 1.7× 408 1.6× 357 2.8× 39 0.5× 24 811

Countries citing papers authored by Feras M. Awaysheh

Since Specialization
Citations

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

Fields of papers citing papers by Feras M. Awaysheh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feras M. Awaysheh. 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 Feras M. Awaysheh. The network helps show where Feras M. Awaysheh may publish in the future.

Co-authorship network of co-authors of Feras M. Awaysheh

This figure shows the co-authorship network connecting the top 25 collaborators of Feras M. Awaysheh. A scholar is included among the top collaborators of Feras M. Awaysheh 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 Feras M. Awaysheh. Feras M. Awaysheh 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.
Awaysheh, Feras M., et al.. (2025). SecureFedPROM: A Zero-Trust Federated Learning Approach With Multi-Criteria Client Selection. IEEE Journal on Selected Areas in Communications. 43(6). 2025–2041. 1 indexed citations
3.
Awaysheh, Feras M., et al.. (2025). BigOPERA: An OPportunistic and Elastic Resource Allocation for big data frameworks. Cluster Computing. 28(6).
4.
Alawadi, Sadi, et al.. (2025). A Personalized and Explainable Federated Learning Approach for Recommendation Systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 167–176.
5.
Alawadi, Sadi, et al.. (2024). FedCSD: A Federated Learning Based Approach for Code-Smell Detection. IEEE Access. 12. 44888–44904. 9 indexed citations
6.
Awaysheh, Feras M., et al.. (2024). Federated Learning Drift Detection: An Empirical Study on the Impact of Concept and Data Drift. KTH Publication Database DiVA (KTH Royal Institute of Technology). 241–250. 3 indexed citations
7.
Fakhouri, Hussam N., et al.. (2024). A cognitive deep learning approach for medical image processing. Scientific Reports. 14(1). 4539–4539. 9 indexed citations
8.
Fakhouri, Hussam N., et al.. (2023). An Overview of using of Artificial Intelligence in Enhancing Security and Privacy in Mobile Social Networks. KTH Publication Database DiVA (KTH Royal Institute of Technology). 42–51. 4 indexed citations
9.
Fakhouri, Hussam N., et al.. (2023). A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions. Electronics. 12(22). 4604–4604. 28 indexed citations
10.
Awaysheh, Feras M., Riccardo Tommasini, & Ahmed Awad. (2023). Big Data Analytics from the Rich Cloud to the Frugal Edge. 319–329. 10 indexed citations
11.
Awaysheh, Feras M., Yolanda Colino‐Sanguino, Laura Rodríguez de la Fuente, et al.. (2023). OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency. 10. 160–167. 1 indexed citations
12.
Ibrahim, Mariam, et al.. (2022). Machine Learning Schemes for Anomaly Detection in Solar Power Plants. Energies. 15(3). 1082–1082. 65 indexed citations
13.
Alkhabbas, Fahed, et al.. (2022). ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems. Sensors. 22(18). 6842–6842. 13 indexed citations
14.
Kebande, Victor R., Feras M. Awaysheh, Richard A. Ikuesan, Sadi Alawadi, & Mohammad Dahman Alshehri. (2021). A Blockchain-Based Multi-Factor Authentication Model for a Cloud-Enabled Internet of Vehicles. Sensors. 21(18). 6018–6018. 33 indexed citations
15.
Awaysheh, Feras M., Mamoun Alazab, Sahil Garg, Dusit Niyato, & Christos Verikoukis. (2021). Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions. IEEE Communications Surveys & Tutorials. 23(4). 2098–2130. 47 indexed citations
16.
Tommasini, Riccardo, et al.. (2021). An In-depth Investigation of Large-scale RDF Relational Schema Optimizations Using Spark-SQL.. 71–80. 8 indexed citations
17.
Awaysheh, Feras M., et al.. (2021). Bench-Ranking: A First Step Towards Prescriptive Performance Analyses For Big Data Frameworks. 2021 IEEE International Conference on Big Data (Big Data). 241–251. 9 indexed citations
19.
Awaysheh, Feras M., Mamoun Alazab, Maanak Gupta, Tomás F. Pena, & José C. Cabaleiro. (2020). Next-generation big data federation access control: A reference model. Future Generation Computer Systems. 108. 726–741. 45 indexed citations
20.
Awaysheh, Feras M., José C. Cabaleiro, Tomás F. Pena, & Mamoun Alazab. (2019). Poster. 223–225. 9 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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