Mohammad Alshayeb

3.3k total citations · 1 hit paper
114 papers, 2.2k citations indexed

About

Mohammad Alshayeb is a scholar working on Information Systems, Software and Artificial Intelligence. According to data from OpenAlex, Mohammad Alshayeb has authored 114 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Information Systems, 56 papers in Software and 32 papers in Artificial Intelligence. Recurrent topics in Mohammad Alshayeb's work include Software Engineering Research (83 papers), Software Reliability and Analysis Research (45 papers) and Software Engineering Techniques and Practices (36 papers). Mohammad Alshayeb is often cited by papers focused on Software Engineering Research (83 papers), Software Reliability and Analysis Research (45 papers) and Software Engineering Techniques and Practices (36 papers). Mohammad Alshayeb collaborates with scholars based in Saudi Arabia, Pakistan and United States. Mohammad Alshayeb's co-authors include Mahmood Niazi, Sajjad Mahmood, Lahouari Ghouti, Issam Laradji, Wei Li, Sabri A. Mahmoud, Kanaan A. Faisal, Narciso Cerpa, Karim O. Elish and Mamoona Humayun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Mohammad Alshayeb

103 papers receiving 2.1k citations

Hit Papers

Software defect prediction using ensemble learning on sel... 2014 2026 2018 2022 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Alshayeb Saudi Arabia 23 1.7k 891 539 443 252 114 2.2k
Davide Di Ruscio Italy 24 1.3k 0.8× 1.0k 1.1× 976 1.8× 509 1.1× 84 0.3× 157 2.1k
Antonio Vetrò Italy 20 1.3k 0.7× 331 0.4× 396 0.7× 547 1.2× 98 0.4× 70 1.9k
Hironori Washizaki Japan 20 1.2k 0.7× 464 0.5× 507 0.9× 438 1.0× 259 1.0× 283 1.8k
José Carlos Maldonado Brazil 25 1.4k 0.8× 1.2k 1.4× 577 1.1× 418 0.9× 109 0.4× 202 2.2k
Nancy R. Mead United States 19 1.5k 0.9× 314 0.4× 536 1.0× 435 1.0× 229 0.9× 106 2.1k
Filippo Ricca Italy 32 2.4k 1.4× 1.7k 1.9× 764 1.4× 915 2.1× 378 1.5× 165 3.0k
Henry Muccini Italy 23 993 0.6× 754 0.8× 941 1.7× 716 1.6× 72 0.3× 144 1.9k
Hailong Sun China 20 1.7k 1.0× 402 0.5× 765 1.4× 950 2.1× 278 1.1× 161 2.3k
Malcolm Munro United Kingdom 25 1.6k 1.0× 852 1.0× 712 1.3× 530 1.2× 141 0.6× 136 2.1k
Mehdi Jazayeri Switzerland 24 1.6k 0.9× 708 0.8× 1.1k 2.0× 711 1.6× 82 0.3× 109 2.3k

Countries citing papers authored by Mohammad Alshayeb

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Alshayeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Alshayeb

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Alshayeb. A scholar is included among the top collaborators of Mohammad Alshayeb 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 Mohammad Alshayeb. Mohammad Alshayeb 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.
Alshayeb, Mohammad, et al.. (2025). Revealing the mobile UX horizon: Exploring user experience aspects, attributes, and measurement methods - A systematic mapping study. Computer Standards & Interfaces. 94. 103999–103999.
2.
Alshayeb, Mohammad, et al.. (2025). Towards Understanding the Critical Role of Human Behavior in Smart and Cognitive City Cybersecurity. Procedia Computer Science. 257. 1039–1046.
3.
Alshayeb, Mohammad, et al.. (2025). Toward a User Emotional State Taxonomy for Human-Computer Interaction. International Journal of Human-Computer Interaction. 1–30.
4.
Alshayeb, Mohammad, et al.. (2024). Toward a novel taxonomy to capture code smells caused by refactoring. Science of Computer Programming. 236. 103120–103120. 3 indexed citations
5.
Alshayeb, Mohammad, et al.. (2024). Eliciting and modeling emotional requirements: a systematic mapping review. PeerJ Computer Science. 10. e1782–e1782. 2 indexed citations
6.
Alshayeb, Mohammad, et al.. (2024). An empirical investigation of the relationship between pattern grime and code smells. Journal of Software Evolution and Process. 36(9). 2 indexed citations
7.
Niazi, Mahmood, et al.. (2023). Towards a successful secure software acquisition. Information and Software Technology. 164. 107315–107315. 2 indexed citations
8.
Keshta, Ismail, Mahmood Niazi, & Mohammad Alshayeb. (2020). Towards the implementation of requirements management specific practices (SP 1.1 and SP 1.2) for small‐ and medium‐sized software development organisations. IET Software. 14(3). 308–317. 8 indexed citations
9.
Alshayeb, Mohammad, et al.. (2020). Empirical study of the relationship between design patterns and code smells. PLoS ONE. 15(4). e0231731–e0231731. 11 indexed citations
10.
Alshayeb, Mohammad, et al.. (2015). Towards a Framework for Software Product Maturity Measurement. International Conference on Software Engineering Advances. 7–11. 1 indexed citations
11.
Niazi, Mahmood, et al.. (2015). Empirical investigation of the challenges of the existing tools used in global software development projects. IET Software. 9(5). 135–143. 37 indexed citations
12.
Niazi, Mahmood, et al.. (2014). Challenges of the Existing Tools Used in Global Software Development Projects. International Conference on Software Engineering Advances. 385–389. 2 indexed citations
13.
Mahmood, Sajjad, et al.. (2014). Towards Task Allocation in Global Software Development Projects. International Conference on Software Engineering Advances. 328–333. 1 indexed citations
14.
Hassine, Jameleddine & Mohammad Alshayeb. (2014). Measurement of Actor External Dependencies in GRL Models.. 2 indexed citations
15.
Niazi, Mahmood, et al.. (2013). Towards Identifying the Factors for Project Management Success in Global Software Development: Initial Results. International Conference on Software Engineering Advances. 285–290. 5 indexed citations
16.
Alshayeb, Mohammad, et al.. (2013). Hybrid Intelligent Model for Software Maintenance Prediction. Australasian Journal of Paramedicine. 11 indexed citations
17.
Niazi, Mahmood, et al.. (2013). Challenges of project management in Global Software Development: Initial results. 202–206. 34 indexed citations
18.
Alshayeb, Mohammad, et al.. (2013). UML model refactoring: a systematic literature review. Empirical Software Engineering. 20(1). 206–251. 74 indexed citations
19.
Alshayeb, Mohammad, et al.. (2008). EVE: On-Board Process Planning and Execution. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2 indexed citations
20.
Alshayeb, Mohammad, Wei Li, & Sara Graves. (2001). An Empirical Study of Refactoring, New Design, and Error-Fix Efforts in Extreme Programming. 323–325. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026