Sofian Kassaymeh

703 total citations
27 papers, 410 citations indexed

About

Sofian Kassaymeh is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Sofian Kassaymeh has authored 27 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 14 papers in Artificial Intelligence and 10 papers in Software. Recurrent topics in Sofian Kassaymeh's work include Software Engineering Research (14 papers), Software Reliability and Analysis Research (10 papers) and Metaheuristic Optimization Algorithms Research (10 papers). Sofian Kassaymeh is often cited by papers focused on Software Engineering Research (14 papers), Software Reliability and Analysis Research (10 papers) and Metaheuristic Optimization Algorithms Research (10 papers). Sofian Kassaymeh collaborates with scholars based in Jordan, United Arab Emirates and Malaysia. Sofian Kassaymeh's co-authors include Mohammed Azmi Al‐Betar, Mohammed Alweshah, Salwani Abdullah, Sharif Naser Makhadmeh, Mohammed A. Awadallah, Raed Abu Zitar, Iyad Abu Doush, Seyedali Mirjalili, Zalinda Othman and Abdelaziz I. Hammouri and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Sofian Kassaymeh

26 papers receiving 396 citations

Peers

Sofian Kassaymeh
Abdullah B. Nasser Malaysia
Marco A. Wehrmeister Brazil
Hélène Waeselynck France
Chih‐Hong Cheng Germany
Achim Rettberg Germany
Tomi Räty Finland
Hongjun Choi South Korea
Haowei Wu United States
Abdullah B. Nasser Malaysia
Sofian Kassaymeh
Citations per year, relative to Sofian Kassaymeh Sofian Kassaymeh (= 1×) peers Abdullah B. Nasser

Countries citing papers authored by Sofian Kassaymeh

Since Specialization
Citations

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

Fields of papers citing papers by Sofian Kassaymeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofian Kassaymeh

This figure shows the co-authorship network connecting the top 25 collaborators of Sofian Kassaymeh. A scholar is included among the top collaborators of Sofian Kassaymeh 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 Sofian Kassaymeh. Sofian Kassaymeh 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
1.
Kassaymeh, Sofian, et al.. (2025). Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification. International Journal of Computational Intelligence Systems. 18(1). 3 indexed citations
2.
Rjoub, Gaith, Hanae Elmekki, Jamal Bentahar, et al.. (2025). Enhanced Dynamic Deep Q-Network for Federated Learning scheduling policies on IoT devices using explanation-driven trust. Knowledge-Based Systems. 318. 113574–113574. 2 indexed citations
3.
Makhadmeh, Sharif Naser, et al.. (2025). Recent advances in Multi-objective Cuckoo Search Algorithm, its variants and applications. Archives of Computational Methods in Engineering. 32(5). 3213–3240. 4 indexed citations
4.
Makhadmeh, Sharif Naser, Sofian Kassaymeh, Gaith Rjoub, et al.. (2025). Recent advances in multi-objective whale optimization algorithm, its versions and applications. Journal of King Saud University - Computer and Information Sciences. 37(7). 2 indexed citations
5.
Braik, Malik, Sofian Kassaymeh, Muder Almiani, et al.. (2025). Advancements in global optimization with an empowered capuchin search algorithm. Neural Computing and Applications. 37(24). 19707–19749. 1 indexed citations
6.
Alweshah, Mohammed, et al.. (2024). Improving intrusion detection in the IoT with African vultures optimisation algorithm-based feature selection. International Journal of Data Mining Modelling and Management. 16(3). 293–325. 1 indexed citations
7.
Alweshah, Mohammed, et al.. (2024). Hybrid Aquila optimizer for efficient classification with probabilistic neural networks. Multiagent and Grid Systems. 20(1). 41–68. 2 indexed citations
8.
Kassaymeh, Sofian, et al.. (2024). Optimizing beyond boundaries: empowering the salp swarm algorithm for global optimization and defective software module classification. Neural Computing and Applications. 36(30). 18727–18759. 3 indexed citations
9.
Zitar, Raed Abu, et al.. (2023). A review of UAV Visual Detection and Tracking Methods. arXiv (Cornell University). 3 indexed citations
10.
Kassaymeh, Sofian, Salwani Abdullah, Mohammed Azmi Al‐Betar, et al.. (2023). An enhanced salp swarm optimizer boosted by local search algorithm for modelling prediction problems in software engineering. Artificial Intelligence Review. 56(S3). 3877–3925. 9 indexed citations
11.
Alweshah, Mohammed, et al.. (2023). An Efficient Hybrid Mine Blast Algorithm for Tackling Software Fault Prediction Problem. Neural Processing Letters. 55(8). 10925–10950. 13 indexed citations
12.
Abdullah, Salwani, et al.. (2023). Parameter Identification of a Multilayer Perceptron Neural Network using an Optimized Salp Swarm Algorithm. International Journal of Advanced Computer Science and Applications. 14(6). 7 indexed citations
13.
Kassaymeh, Sofian, et al.. (2023). An efficient convergence-boosted salp swarm optimizer-based artificial neural network for the development of software fault prediction models. Computers & Electrical Engineering. 111. 108923–108923. 16 indexed citations
14.
Al‐Betar, Mohammed Azmi, Sofian Kassaymeh, Sharif Naser Makhadmeh, F.M.A. Salam, & Salwani Abdullah. (2023). Feedforward neural network-based augmented salp swarm optimizer for accurate software development cost forecasting. Applied Soft Computing. 149. 111008–111008. 10 indexed citations
15.
Alweshah, Mohammed, et al.. (2023). Hybrid black widow optimization with iterated greedy algorithm for gene selection problems. Heliyon. 9(9). e20133–e20133. 13 indexed citations
16.
Kassaymeh, Sofian, et al.. (2023). Software effort estimation modeling and fully connected artificial neural network optimization using soft computing techniques. Cluster Computing. 27(1). 737–760. 30 indexed citations
17.
Kassaymeh, Sofian, et al.. (2021). Salp Swarm Optimizer for Modeling Software Reliability Prediction Problems. Neural Processing Letters. 53(6). 4451–4487. 30 indexed citations
18.
Kassaymeh, Sofian, Salwani Abdullah, Mohammed Azmi Al‐Betar, & Mohammed Alweshah. (2021). Salp swarm optimizer for modeling the software fault prediction problem. Journal of King Saud University - Computer and Information Sciences. 34(6). 3365–3378. 44 indexed citations
19.
Kassaymeh, Sofian, Salwani Abdullah, Mohammed Alweshah, & Abdelaziz I. Hammouri. (2021). A Hybrid Salp Swarm Algorithm with Artificial Neural Network Model for Predicting the Team Size Required for Software Testing Phase. 1–6. 9 indexed citations
20.
Sheta, Alaa, Sofian Kassaymeh, & David C. Rine. (2014). Estimating the Number of Test Workers Necessary for a Software Testing Process Using Artificial Neural Networks. International Journal of Advanced Computer Science and Applications. 5(7). 6 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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