Mohammed Sayagh

505 total citations
23 papers, 335 citations indexed

About

Mohammed Sayagh is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mohammed Sayagh has authored 23 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 18 papers in Computer Networks and Communications and 10 papers in Artificial Intelligence. Recurrent topics in Mohammed Sayagh's work include Software System Performance and Reliability (18 papers), Software Engineering Research (15 papers) and Advanced Software Engineering Methodologies (7 papers). Mohammed Sayagh is often cited by papers focused on Software System Performance and Reliability (18 papers), Software Engineering Research (15 papers) and Advanced Software Engineering Methodologies (7 papers). Mohammed Sayagh collaborates with scholars based in Canada, United States and Morocco. Mohammed Sayagh's co-authors include Bram Adams, Ahmed E. Hassan, Abram Hindle, Munawar Hafiz, Weiyi Shang, Heng Li, Fábio Petrillo, Heng Li, Zhen Ming Jiang and Zhen Dong and has published in prestigious journals such as IEEE Transactions on Software Engineering, Empirical Software Engineering and ACM Transactions on Software Engineering and Methodology.

In The Last Decade

Mohammed Sayagh

22 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Sayagh Canada 9 204 189 122 87 59 23 335
Joshua Charles Campbell Canada 6 135 0.7× 152 0.8× 45 0.4× 140 1.6× 75 1.3× 14 293
Maria Kechagia Greece 11 105 0.5× 183 1.0× 63 0.5× 64 0.7× 107 1.8× 27 303
Lincoln S. Rocha Brazil 10 153 0.8× 175 0.9× 84 0.7× 47 0.5× 68 1.2× 52 295
Giovanni Toffetti Switzerland 13 271 1.3× 326 1.7× 61 0.5× 22 0.3× 40 0.7× 25 426
Francisco Ribeiro Portugal 5 111 0.5× 63 0.3× 32 0.3× 144 1.7× 24 0.4× 10 247
Irene Manotas United States 4 110 0.5× 94 0.5× 34 0.3× 195 2.2× 18 0.3× 10 263
Reyhaneh Jabbarvand United States 12 146 0.7× 201 1.1× 77 0.6× 132 1.5× 223 3.8× 21 432
Nilton Bila United States 12 314 1.5× 302 1.6× 45 0.4× 25 0.3× 9 0.2× 23 409
Anugeetha Kunjithapatham United States 6 312 1.5× 200 1.1× 68 0.6× 92 1.1× 6 0.1× 12 392
José-Miguel Horcas Spain 10 115 0.6× 143 0.8× 186 1.5× 36 0.4× 49 0.8× 45 260

Countries citing papers authored by Mohammed Sayagh

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Sayagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Sayagh

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Sayagh. A scholar is included among the top collaborators of Mohammed Sayagh 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 Mohammed Sayagh. Mohammed Sayagh 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.
Ouni, Ali, et al.. (2025). Towards understanding code review practices for infrastructure-as-code: An empirical study on OpenStack projects. Empirical Software Engineering. 30(4). 1 indexed citations
2.
Sayagh, Mohammed, et al.. (2024). An empirical study on cross-component dependent changes: A case study on the components of OpenStack. Empirical Software Engineering. 29(5). 1 indexed citations
3.
Sayagh, Mohammed, et al.. (2024). How Much Logs Does My Source Code File Need? Learning to Predict the Density of Logs. Espace ÉTS (ETS). 140–149.
4.
Ouni, Ali, et al.. (2024). On the Prevalence, Co-occurrence, and Impact of Infrastructure-as-Code Smells. Espace ÉTS (ETS). 23–34. 1 indexed citations
5.
Sayagh, Mohammed, et al.. (2024). The impact of concept drift and data leakage on log level prediction models. Empirical Software Engineering. 29(5). 2 indexed citations
6.
Sayagh, Mohammed, et al.. (2024). A literature review and existing challenges on software logging practices. Empirical Software Engineering. 29(4). 4 indexed citations
7.
Sayagh, Mohammed, et al.. (2023). What Constitutes the Deployment and Runtime Configuration System? An Empirical Study on OpenStack Projects. ACM Transactions on Software Engineering and Methodology. 33(1). 1–37. 4 indexed citations
8.
Chen, Jinfu, et al.. (2023). IoPV: On Inconsistent Option Performance Variations. Espace ÉTS (ETS). 845–857. 2 indexed citations
9.
Tian, Yuan, et al.. (2023). An Empirical Study on GitHub Pull Requests’ Reactions. ACM Transactions on Software Engineering and Methodology. 32(6). 1–35. 5 indexed citations
10.
Sayagh, Mohammed, et al.. (2022). The Co-evolution of the WordPress Platform and Its Plugins. ACM Transactions on Software Engineering and Methodology. 32(1). 1–24. 2 indexed citations
11.
Sayagh, Mohammed, et al.. (2021). A study of how Docker Compose is used to compose multi-component systems. Empirical Software Engineering. 26(6). 10 indexed citations
12.
Sayagh, Mohammed, et al.. (2021). Improving State-of-the-Art Compression Techniques for Log Management Tools. IEEE Transactions on Software Engineering. 48(8). 2748–2760. 12 indexed citations
13.
Li, Heng, et al.. (2021). An Empirical Study of the Impact of Data Splitting Decisions on the Performance of AIOps Solutions. ACM Transactions on Software Engineering and Methodology. 30(4). 1–38. 31 indexed citations
14.
Sayagh, Mohammed, et al.. (2020). Too many images on DockerHub! How different are images for the same system?. Empirical Software Engineering. 25(5). 4250–4281. 13 indexed citations
15.
Sayagh, Mohammed, et al.. (2020). What should your run-time configuration framework do to help developers?. Empirical Software Engineering. 25(2). 1259–1293. 7 indexed citations
16.
Li, Heng, Weiyi Shang, Bram Adams, Mohammed Sayagh, & Ahmed E. Hassan. (2020). A Qualitative Study of the Benefits and Costs of Logging From Developers’ Perspectives. IEEE Transactions on Software Engineering. 47(12). 2858–2873. 59 indexed citations
17.
Sayagh, Mohammed, et al.. (2017). On Cross-Stack Configuration Errors. PolyPublie (École Polytechnique de Montréal). 255–265. 22 indexed citations
18.
Sayagh, Mohammed, Zhen Dong, Artur Andrzejak, & Bram Adams. (2017). Does the Choice of Configuration Framework Matter for Developers? Empirical Study on 11 Java Configuration Frameworks. PolyPublie (École Polytechnique de Montréal). 41–50. 7 indexed citations
19.
Hafiz, Munawar, et al.. (2016). Energy profiles of Java collections classes. PolyPublie (École Polytechnique de Montréal). 225–236. 100 indexed citations
20.
Sayagh, Mohammed & Bram Adams. (2015). Multi-layer software configuration: Empirical study on wordpress. PolyPublie (École Polytechnique de Montréal). 31–40. 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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2026