Eman Abdullah AlOmar

850 total citations
38 papers, 386 citations indexed

About

Eman Abdullah AlOmar is a scholar working on Information Systems, Software and Signal Processing. According to data from OpenAlex, Eman Abdullah AlOmar has authored 38 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 23 papers in Software and 10 papers in Signal Processing. Recurrent topics in Eman Abdullah AlOmar's work include Software Engineering Research (33 papers), Software Reliability and Analysis Research (19 papers) and Advanced Malware Detection Techniques (10 papers). Eman Abdullah AlOmar is often cited by papers focused on Software Engineering Research (33 papers), Software Reliability and Analysis Research (19 papers) and Advanced Malware Detection Techniques (10 papers). Eman Abdullah AlOmar collaborates with scholars based in United States, Canada and Ireland. Eman Abdullah AlOmar's co-authors include Mohamed Wiem Mkaouer, Ali Ouni, Christian D. Newman, Anthony Peruma, Wajdi Aljedaani, Yasmine N. Elglaly, Marouane Kessentini, Stephanie Ludi, Zhe Yu and Timofey Bryksin and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and Journal of Systems and Software.

In The Last Decade

Eman Abdullah AlOmar

30 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eman Abdullah AlOmar United States 11 289 156 77 62 61 38 386
Carol V. Alexandru Switzerland 8 316 1.1× 84 0.5× 58 0.8× 101 1.6× 52 0.9× 15 393
Daniel E. Krutz United States 10 170 0.6× 101 0.6× 35 0.5× 34 0.5× 119 2.0× 42 278
José Miguel Rojas United Kingdom 13 501 1.7× 557 3.6× 74 1.0× 53 0.9× 75 1.2× 34 750
Zéphyrin Soh Canada 8 240 0.8× 89 0.6× 35 0.5× 50 0.8× 29 0.5× 13 343
Shuai Hao United States 8 168 0.6× 147 0.9× 168 2.2× 209 3.4× 208 3.4× 21 538
Anthony Peruma United States 13 447 1.5× 322 2.1× 102 1.3× 84 1.4× 144 2.4× 37 515
David Stotts United States 12 187 0.6× 110 0.7× 60 0.8× 114 1.8× 19 0.3× 36 347
Novia Admodisastro Malaysia 9 174 0.6× 27 0.2× 61 0.8× 89 1.4× 85 1.4× 54 298
Ian McChesney United Kingdom 9 129 0.4× 44 0.3× 41 0.5× 45 0.7× 11 0.2× 31 259
William Cheung United States 6 195 0.7× 52 0.3× 50 0.6× 63 1.0× 31 0.5× 8 281

Countries citing papers authored by Eman Abdullah AlOmar

Since Specialization
Citations

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

Fields of papers citing papers by Eman Abdullah AlOmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eman Abdullah AlOmar. 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 Eman Abdullah AlOmar. The network helps show where Eman Abdullah AlOmar may publish in the future.

Co-authorship network of co-authors of Eman Abdullah AlOmar

This figure shows the co-authorship network connecting the top 25 collaborators of Eman Abdullah AlOmar. A scholar is included among the top collaborators of Eman Abdullah AlOmar 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 Eman Abdullah AlOmar. Eman Abdullah AlOmar 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.
AlOmar, Eman Abdullah. (2025). Nurturing Code Quality: Leveraging Static Analysis and Large Language Models for Software Quality in Education. ACM Transactions on Computing Education. 25(2). 1–36.
2.
AlOmar, Eman Abdullah, et al.. (2025). AntiCopyPaster 3.0: Just-in-Time Clone Refactoring. ACM Transactions on Software Engineering and Methodology.
3.
AlOmar, Eman Abdullah. (2024). Deciphering refactoring branch dynamics in modern code review: An empirical study on Qt. Information and Software Technology. 177. 107596–107596.
4.
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
5.
AlOmar, Eman Abdullah, et al.. (2024). AntiCopyPaster 2.0: Whitebox just-in-time code duplicates extraction. Espace ÉTS (ETS). 84–88.
6.
AlOmar, Eman Abdullah, et al.. (2024). Exploring ChatGPT’s code refactoring capabilities: An empirical study. Expert Systems with Applications. 249. 123602–123602. 18 indexed citations
7.
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
8.
AlOmar, Eman Abdullah & Mohamed Wiem Mkaouer. (2024). Cultivating Software Quality Improvement in the Classroom: An Experience with ChatGPT. 1–10.
9.
AlOmar, Eman Abdullah, et al.. (2024). How to refactor this code? An exploratory study on developer-ChatGPT refactoring conversations. Espace ÉTS (ETS). 202–206. 9 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.
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.
Wang, Ying, et al.. (2022). Intelligent Code Review Assignment for Large Scale Open Source Software Stacks. 1–6. 1 indexed citations
14.
Aljedaani, Wajdi, et al.. (2021). I Cannot See You---The Perspectives of Deaf Students to Online Learning during COVID-19 Pandemic: Saudi Arabia Case Study. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
15.
Aljedaani, Wajdi, et al.. (2021). I Cannot See You—The Perspectives of Deaf Students to Online Learning during COVID-19 Pandemic: Saudi Arabia Case Study. Education Sciences. 11(11). 712–712. 34 indexed citations
16.
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
17.
AlOmar, Eman Abdullah, et al.. (2021). On the use of textual feature extraction techniques to support the automated detection of refactoring documentation. Innovations in Systems and Software Engineering. 18(2). 233–249. 8 indexed citations
18.
Ouni, Ali, et al.. (2021). An Empirical Study on Code Smells Co-occurrences in Android Applications. Espace ÉTS (ETS). 26–33. 5 indexed citations
19.
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
20.
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

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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