Ali Ouni

5.6k total citations · 3 hit papers
124 papers, 3.5k citations indexed

About

Ali Ouni is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Ali Ouni has authored 124 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Information Systems, 61 papers in Software and 26 papers in Computer Networks and Communications. Recurrent topics in Ali Ouni's work include Software Engineering Research (99 papers), Software Reliability and Analysis Research (47 papers) and Software Engineering Techniques and Practices (26 papers). Ali Ouni is often cited by papers focused on Software Engineering Research (99 papers), Software Reliability and Analysis Research (47 papers) and Software Engineering Techniques and Practices (26 papers). Ali Ouni collaborates with scholars based in Canada, United States and United Arab Emirates. Ali Ouni's co-authors include Marouane Kessentini, Mohamed Wiem Mkaouer, Ali Fiaz, Mohamed Adel Serhani, Salah Bouktif, Katsuro Inoue, Houari Sahraoui, Raula Gaikovina Kula, Salah Bouktif and Eman Abdullah AlOmar and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Transactions on Software Engineering.

In The Last Decade

Ali Ouni

113 papers receiving 3.4k citations

Hit Papers

Optimal Deep Learning LSTM Model for Electric Load Foreca... 2015 2026 2018 2022 2018 2017 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ouni Canada 33 2.2k 1.3k 758 662 651 124 3.5k
Siobhán Clarke Ireland 28 1.8k 0.8× 315 0.3× 1.5k 2.0× 678 1.0× 1.8k 2.7× 187 4.1k
Marc Roper United Kingdom 26 1.5k 0.7× 1.1k 0.9× 472 0.6× 174 0.3× 314 0.5× 93 2.4k
Suman Nath United States 40 1.6k 0.7× 406 0.3× 1.2k 1.6× 993 1.5× 3.5k 5.4× 151 5.4k
Franz Wotawa Austria 24 1.5k 0.7× 2.3k 1.9× 949 1.3× 139 0.2× 646 1.0× 372 3.4k
Salah Bouktif United Arab Emirates 15 449 0.2× 254 0.2× 330 0.4× 485 0.7× 151 0.2× 50 1.4k
Pradeep Kumar Singh India 30 759 0.3× 116 0.1× 722 1.0× 522 0.8× 1.1k 1.7× 171 3.3k
Jie Xu United Kingdom 26 1.6k 0.7× 84 0.1× 503 0.7× 289 0.4× 1.9k 2.9× 150 2.7k
Munam Ali Shah Pakistan 31 1.0k 0.5× 76 0.1× 712 0.9× 985 1.5× 1.9k 2.9× 202 3.7k
Friedemann Mattern Switzerland 30 537 0.2× 91 0.1× 486 0.6× 1.1k 1.7× 2.9k 4.5× 87 4.3k
Vicente García‐Díaz Spain 24 488 0.2× 84 0.1× 580 0.8× 218 0.3× 398 0.6× 120 2.0k

Countries citing papers authored by Ali Ouni

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ouni

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ouni. A scholar is included among the top collaborators of Ali Ouni 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 Ali Ouni. Ali Ouni 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.
Bouktif, Salah, et al.. (2025). Parameterized-action based deep reinforcement learning for intelligent traffic signal control. Engineering Applications of Artificial Intelligence. 159. 111422–111422.
2.
Ouni, Ali, et al.. (2025). Predicting wind turbines faults using Multi-Objective Genetic Programming. Expert Systems with Applications. 281. 127487–127487. 1 indexed citations
3.
Bouktif, Salah, Akib Mohi Ud Din Khanday, & Ali Ouni. (2025). Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study. Journal of Medical Internet Research. 27. e65434–e65434. 2 indexed citations
4.
Bouktif, Salah, Akib Mohi Ud Din Khanday, & Ali Ouni. (2024). CoML: Machine Learning based approach for COVID-19 related Suicidal Ideation detection. Espace ÉTS (ETS). 1–5.
5.
Ouni, Ali, et al.. (2024). How Do Software Developers Use ChatGPT? An Exploratory Study on GitHub Pull Requests. Espace ÉTS (ETS). 212–216. 2 indexed citations
6.
AlOmar, Eman Abdullah, et al.. (2024). AntiCopyPaster 2.0: Whitebox just-in-time code duplicates extraction. Espace ÉTS (ETS). 84–88.
7.
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.
8.
Ouni, Ali, et al.. (2024). GitRev: An LLM-Based Gamification Framework for Modern Code Review Activities. Espace ÉTS (ETS). 235–241.
9.
Ouni, Ali, et al.. (2024). Fine-Grained Just-In-Time Defect Prediction at the Block Level in Infrastructure-as-Code (IaC). Espace ÉTS (ETS). 100–112. 2 indexed citations
10.
AlOmar, Eman Abdullah, et al.. (2023). Just-in-time code duplicates extraction. Information and Software Technology. 158. 107169–107169. 9 indexed citations
11.
Aljedaani, Wajdi, et al.. (2023). The State of Accessibility in Blackboard: Survey and User Reviews Case Study. RIT Scholar Works (Rochester Institute of Technology). 84–95. 15 indexed citations
12.
AlOmar, Eman Abdullah, et al.. (2022). AntiCopyPaster: Extracting Code Duplicates As Soon As They Are Introduced in the IDE. Espace ÉTS (ETS). 1–4. 6 indexed citations
13.
Aljedaani, Wajdi, et al.. (2022). Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study. Social Network Analysis and Mining. 12(1). 128–128. 11 indexed citations
14.
Ouni, Ali, et al.. (2022). Improving microservices extraction using evolutionary search. Information and Software Technology. 151. 106996–106996. 14 indexed citations
15.
Peruma, Anthony, et al.. (2021). How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow. Empirical Software Engineering. 27(1). 33 indexed citations
16.
Mkaouer, Mohamed Wiem, Eman Abdullah AlOmar, & Ali Ouni. (2020). Toward the Automatic Classification of Self-Affirmed Refactoring. RIT Scholar Works (Rochester Institute of Technology). 31 indexed citations
17.
AlOmar, Eman Abdullah, Anthony Peruma, Mohamed Wiem Mkaouer, et al.. (2020). How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation. Expert Systems with Applications. 167. 114176–114176. 38 indexed citations
18.
Peruma, Anthony, et al.. (2019). On the Distribution of Test Smells in Open Source Android Applications: An Exploratory Study. Espace ÉTS (ETS). 51 indexed citations
19.
Ouni, Ali, et al.. (2017). A Machine Learning-Based Approach to Detect Web Service Design Defects. SPIRE - Sciences Po Institutional REpository. 532–539. 13 indexed citations
20.
Kula, Raula Gaikovina, Daniel M. Germán, Takashi Ishio, Ali Ouni, & Katsuro Inoue. (2017). An exploratory study on library aging by monitoring client usage in a software ecosystem. Espace ÉTS (ETS). 407–411. 13 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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