Slim Bechikh

3.7k citations
99 papers · 3.0k · 1 hit paper · h-index 30

Impact in

Papers in

Slim Bechikh

95 papers receiving 2.9k citations

Slim Bechikh's Hit Papers

Many-Objective Software Remodularization Using NSGA-III 2015 · 218 citations
2180+3+7Years since publication50100150200

Peers

Slim Bechikh
Comparison fields: 5 of 106
  • Software 609
  • Computational Theory and Mathematics 1.3k
  • Artificial Intelligence 1.5k
  • Information Systems 870
  • Management Science and Operations Research 272
Replace Francisco Luna with:
Francisco Luna Spain
Matej Črepinšek Slovenia
Peter Gorm Larsen Denmark
Juan José Durillo Spain
Leandro Lei Minku United Kingdom
Patrizio Pelliccione Italy
Wolfgang Reif Germany
Xiaoyu Song United States
Lamjed Ben Saïd Tunisia
Slim Bechikh relative to Francisco Luna Spain Francisco Luna's profile →
Citations per field
00.5×2×3.3×
Francisco Luna · 1×
Citations per year

Countries citing papers authored by Slim Bechikh

Since Specialization
Citations

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

Fields of papers citing papers by Slim Bechikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Slim Bechikh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Slim Bechikh Line = papers co-authored together Slim Bechikh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010253
2 2017244
3
Many-Objective Software Remodularization Using NSGA-III
Hit paper breakdown →
2015218
4 2015133
5 2014106
6 2016101
7 2016101
8 201595
9 201478
10 201477
11 201477
12 201177
13 201475
14 201569
15 202053
16 201652
17 201849
18 201748
19 201545
20 201044

About Slim Bechikh

Slim Bechikh is a scholar working on Computational Theory and Mathematics, Software, Artificial Intelligence, Information Systems and Signal Processing, having authored 99 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (41 papers), Metaheuristic Optimization Algorithms Research (40 papers), Evolutionary Algorithms and Applications (24 papers), Software Engineering Research (19 papers), Software Reliability and Analysis Research (19 papers), Advanced Malware Detection Techniques (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Vehicle Routing Optimization Methods (7 papers). The work is most often cited by research in Software (609 citations), Computational Theory and Mathematics (1.3k citations), Artificial Intelligence (1.5k citations), Information Systems (870 citations) and Management Science and Operations Research (272 citations). Slim Bechikh has collaborated with scholars based in Tunisia, United States and France. Frequent co-authors include Lamjed Ben Saïd, Marouane Kessentini, Khaled Ghédira, Radhia Azzouz, Maha Elarbi, Kalyanmoy Deb, Mohamed Wiem Mkaouer, Abhishek Gupta, Ali Ouni and Mel Ó Cinnéide. Their work appears in journals such as Swarm and Evolutionary Computation, Soft Computing, Neural Computing and Applications, IEEE Transactions on Evolutionary Computation and Journal of Systems and Software.

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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