Naouel Moha

2.8k total citations · 1 hit paper
57 papers, 1.3k citations indexed

About

Naouel Moha is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Naouel Moha has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Information Systems, 26 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Naouel Moha's work include Software Engineering Research (30 papers), Software System Performance and Reliability (24 papers) and Advanced Software Engineering Methodologies (22 papers). Naouel Moha is often cited by papers focused on Software Engineering Research (30 papers), Software System Performance and Reliability (24 papers) and Advanced Software Engineering Methodologies (22 papers). Naouel Moha collaborates with scholars based in Canada, France and Pakistan. Naouel Moha's co-authors include Yann‐Gaël Guéhéneuc, Laurence Duchien, Francis Palma, Foutse Khomh, G. Hecht, Stéphane Vaucher, Manel Abdellatif, Romain Rouvoy, Jean‐Marc Jezéquél and Jean Privat and has published in prestigious journals such as IEEE Transactions on Software Engineering, IEEE Internet of Things Journal and Journal of Systems and Software.

In The Last Decade

Naouel Moha

51 papers receiving 1.2k citations

Hit Papers

DECOR: A Method for the Specification and Detection of Co... 2009 2026 2014 2020 2009 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. DECOR: A Method for the Specification and Detection of Code and Design Smells
    2009 575 citations Naouel Moha, Yann‐Gaël Guéhéneuc et al. IEEE Transactions on Software Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naouel Moha Canada 16 1.1k 702 448 349 247 57 1.3k
Laurence Duchien France 13 1.0k 0.9× 562 0.8× 453 1.0× 483 1.4× 181 0.7× 44 1.2k
Mark Grechanik United States 22 1.4k 1.2× 799 1.1× 538 1.2× 460 1.3× 270 1.1× 66 1.7k
A. Cimitile Italy 22 1.2k 1.0× 829 1.2× 359 0.8× 425 1.2× 270 1.1× 69 1.4k
Carlo A. Furia Switzerland 18 743 0.7× 668 1.0× 223 0.5× 261 0.7× 121 0.5× 61 1.1k
John Penix United States 15 888 0.8× 926 1.3× 292 0.7× 385 1.1× 194 0.8× 46 1.4k
Ferdian Thung Singapore 26 1.5k 1.3× 934 1.3× 464 1.0× 474 1.4× 337 1.4× 64 1.8k
Wenyun Zhao China 20 1.0k 0.9× 329 0.5× 506 1.1× 577 1.7× 103 0.4× 114 1.2k
G.A. Di Lucca Italy 22 1.3k 1.2× 753 1.1× 429 1.0× 455 1.3× 195 0.8× 89 1.6k
Naoyasu Ubayashi Japan 17 1.4k 1.3× 1.0k 1.5× 505 1.1× 443 1.3× 104 0.4× 109 1.6k
Mel Ó Cinnéide Ireland 20 1.0k 0.9× 725 1.0× 227 0.5× 361 1.0× 92 0.4× 48 1.2k

Countries citing papers authored by Naouel Moha

Since Specialization
Citations

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

Fields of papers citing papers by Naouel Moha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naouel Moha

This figure shows the co-authorship network connecting the top 25 collaborators of Naouel Moha. A scholar is included among the top collaborators of Naouel Moha 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 Naouel Moha. Naouel Moha 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.
Abdellatif, Manel, Naouel Moha, Yann‐Gaël Guéhéneuc, Hafedh Mili, & Ghizlane El Boussaidi. (2025). Identifying Reusable Services in Legacy Object-Oriented Systems: A Type-Sensitive Identification Approach. IEEE Transactions on Software Engineering. 51(10). 2879–2899.
2.
Moha, Naouel, et al.. (2025). A Systematic Literature Review of Machine Learning Approaches for Migrating Monolithic Systems to Microservices. IEEE Transactions on Software Engineering. 51(11). 2972–2995.
3.
Moha, Naouel, et al.. (2025). TISSEA: A Framework for Testing IoT Systems Based on Technical Software Engineering Aspects. IEEE Internet of Things Journal. 12(22). 48787–48802. 1 indexed citations
4.
Moha, Naouel, et al.. (2025). IoT systems testing: Taxonomy, empirical findings, and recommendations. Journal of Systems and Software. 226. 112408–112408.
5.
Moha, Naouel, et al.. (2024). Practical Guidance for IoT Systems Testing: A Taxonomy. Espace ÉTS (ETS). 57–64. 1 indexed citations
6.
Moha, Naouel, et al.. (2024). A Systematic Literature Review of IoT System Architectural Styles and Their Quality Requirements. IEEE Internet of Things Journal. 11(23). 37599–37616. 1 indexed citations
7.
Moha, Naouel, et al.. (2024). DynAMICS: A Tool-Based Method for the Specification and Dynamic Detection of Android Behavioral Code Smells. IEEE Transactions on Software Engineering. 50(4). 765–784. 2 indexed citations
8.
Bissyandé, Tegawendé F., et al.. (2024). Dependabot and security pull requests: large empirical study. Empirical Software Engineering. 29(5).
9.
Bissyandé, Tegawendé F., Naouel Moha, Kevin Allix, et al.. (2022). SSPCatcher: Learning to catch security patches. Empirical Software Engineering. 27(6). 10 indexed citations
10.
Abdellatif, Manel, et al.. (2022). From legacy to microservices: A type‐based approach for microservices identification using machine learning and semantic analysis. Journal of Software Evolution and Process. 35(10). 15 indexed citations
11.
Moha, Naouel, et al.. (2022). An empirical study of Android behavioural code smells detection. Empirical Software Engineering. 27(7). 6 indexed citations
12.
Moha, Naouel, et al.. (2021). Coach. Espace ÉTS (ETS). 1429–1438. 3 indexed citations
13.
Mosser, Sébastien, et al.. (2019). A delta‐oriented approach to support the safe reuse of black‐box code rewriters. Journal of Software Evolution and Process. 31(8).
14.
Abdellatif, Manel, et al.. (2019). An Observational Study on the State of REST API Uses in Android Mobile Applications. Espace ÉTS (ETS). 66–75. 19 indexed citations
15.
Petrillo, Fábio, Philippe Merle, Layth Sliman, et al.. (2018). On semantic detection of cloud API (anti)patterns. Information and Software Technology. 107. 65–82. 9 indexed citations
16.
Hecht, G., Hafedh Mili, Manel Abdellatif, et al.. (2018). Codifying Hidden Dependencies in Legacy J2EE Applications. Espace ÉTS (ETS). 672. 305–314. 1 indexed citations
17.
Moha, Naouel, et al.. (2007). Répertoire des défauts de conception. 4 indexed citations
18.
Moha, Naouel & Yann‐Gaël Guéhéneuc. (2007). P<scp>TIDEJ</scp> and D<scp>ECOR</scp>. Espace ÉTS (ETS). 868–869. 4 indexed citations
19.
Moha, Naouel, et al.. (2006). Une taxonomie et un métamodèle pour la détection des défauts de conception.. 201–216. 4 indexed citations
20.
Moha, Naouel, et al.. (2005). Enquête sur les pratiques de tests d'utilisabilité. Espace ÉTS (ETS). 115–122. 8 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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