Marouane Kessentini

4.6k total citations · 1 hit paper
117 papers, 2.6k citations indexed

About

Marouane Kessentini is a scholar working on Information Systems, Software and Computer Networks and Communications. According to data from OpenAlex, Marouane Kessentini has authored 117 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Information Systems, 76 papers in Software and 32 papers in Computer Networks and Communications. Recurrent topics in Marouane Kessentini's work include Software Engineering Research (92 papers), Software Reliability and Analysis Research (54 papers) and Software System Performance and Reliability (30 papers). Marouane Kessentini is often cited by papers focused on Software Engineering Research (92 papers), Software Reliability and Analysis Research (54 papers) and Software System Performance and Reliability (30 papers). Marouane Kessentini collaborates with scholars based in United States, Canada and Austria. Marouane Kessentini's co-authors include Ali Ouni, Houari Sahraoui, Kalyanmoy Deb, Slim Bechikh, Mohamed Wiem Mkaouer, Mel Ó Cinnéide, Katsuro Inoue, Manuel Wimmer, Mohamed Salah Hamdi and Vahid Alizadeh and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Marouane Kessentini

112 papers receiving 2.5k citations

Hit Papers

Many-Objective Software Remodularization Using NSGA-III 2015 2026 2018 2022 2015 50 100 150
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. Many-Objective Software Remodularization Using NSGA-III
    2015 191 citations Mohamed Wiem Mkaouer, Marouane Kessentini et al. ACM Transactions on Software Engineering and Methodology profile →

Peers

Marouane Kessentini
He Jiang China
Annibale Panichella Netherlands
Thorsten Berger Germany
Antonia Bertolino Italy
Sergio Segura Spain
José Carlos Maldonado Brazil
Doo‐Hwan Bae South Korea
Henry Muccini Italy
Sílvia Regina Vergílio Brazil
Davide Di Ruscio Italy
He Jiang China
Marouane Kessentini
Citations per year, relative to Marouane Kessentini Marouane Kessentini (= 1×) peers He Jiang

Countries citing papers authored by Marouane Kessentini

Since Specialization
Citations

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

Fields of papers citing papers by Marouane Kessentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marouane Kessentini

This figure shows the co-authorship network connecting the top 25 collaborators of Marouane Kessentini. A scholar is included among the top collaborators of Marouane Kessentini 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 Marouane Kessentini. Marouane Kessentini 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.
Malhotra, Ruchika, et al.. (2023). Examining deep learning’s capability to spot code smells: a systematic literature review. Cluster Computing. 26(6). 3473–3501. 4 indexed citations
2.
Ivers, James, et al.. (2023). Dependent or Not: Detecting and Understanding Collections of Refactorings. IEEE Transactions on Software Engineering. 1–15.
3.
Malhotra, Ruchika, et al.. (2023). Vulnerability Analysis of Docker Hub Official Images and Verified Images. 150–155. 2 indexed citations
4.
Soui, Makram, et al.. (2021). NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient’s symptoms. Nonlinear Dynamics. 106(2). 1453–1475. 38 indexed citations
5.
Kessentini, Marouane, et al.. (2021). Explainable Search-Based Refactoring. Deep Blue (University of Michigan). 1 indexed citations
6.
Burgueño, Loli, Marouane Kessentini, Manuel Wimmer, & Steffen Zschaler. (2021). MDE Intelligence 2021: 3rd Workshop on Artificial Intelligence and Model-Driven Engineering. Research Portal (King's College London). 148–149. 1 indexed citations
7.
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
8.
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
9.
Kessentini, Marouane, et al.. (2017). Model refactoring by example: A multi‐objective search based software engineering approach. Journal of Software Evolution and Process. 30(4). 14 indexed citations
10.
McBurney, Paul W., Siyuan Jiang, Marouane Kessentini, et al.. (2017). Towards Prioritizing Documentation Effort. IEEE Transactions on Software Engineering. 44(9). 897–913. 19 indexed citations
11.
Kessentini, Marouane, et al.. (2017). Improving Web Services Design Quality Using Heuristic Search and Machine Learning. Espace ÉTS (ETS). 3. 540–547. 3 indexed citations
12.
Ouni, Ali, Marouane Kessentini, Houari Sahraoui, Katsuro Inoue, & Kalyanmoy Deb. (2016). Multi-Criteria Code Refactoring Using Search-Based Software Engineering. ACM Transactions on Software Engineering and Methodology. 25(3). 1–53. 109 indexed citations
13.
Kessentini, Marouane, et al.. (2014). MOMM: Multi-objective model merging. Journal of Systems and Software. 103. 423–439. 23 indexed citations
14.
Kessentini, Marouane, et al.. (2013). Search-based refactoring detection. 205–206. 8 indexed citations
15.
Kessentini, Marouane, et al.. (2011). Detecting model refactoring opportunities using heuristic search. Conference of the Centre for Advanced Studies on Collaborative Research. 28(2). 175–187. 19 indexed citations
16.
Kessentini, Marouane, Houari Sahraoui, Mounir Boukadoum, & Manuel Wimmer. (2011). Design Defect Detection Rules Generation: A Music Metaphor. 241–248. 3 indexed citations
17.
Kessentini, Marouane, Wael Kessentini, Houari Sahraoui, Mounir Boukadoum, & Ali Ouni. (2011). Design Defects Detection and Correction by Example. Espace ÉTS (ETS). 81–90. 69 indexed citations
18.
Syriani, Eugene, et al.. (2010). Simplifying model transformation chains by rule composition. 293–307. 2 indexed citations
19.
Kessentini, Marouane, et al.. (2010). Search-based model transformation by example. Software & Systems Modeling. 11(2). 209–226. 59 indexed citations
20.
Kessentini, Marouane, Houari Sahraoui, & Mounir Boukadoum. (2009). Méta-modélisation de la transformation de modèles par l'exemple : approche par méta-heuristiques.. 73–88. 2 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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