Slim Bechikh

3.6k citations
79 papers · 2.2k · 1 hit paper · h-index 24

Impact in

Papers in

Slim Bechikh

74 papers receiving 2.2k citations

Slim Bechikh's Hit Papers

Many-Objective Software Remodularization Using NSGA-III 2015 · 194 citations
1940+3+7Years since publication50100150

Peers

Slim Bechikh
Comparison fields: 5 of 97
  • Software 463
  • Computational Theory and Mathematics 975
  • Artificial Intelligence 1.1k
  • Information Systems 655
  • Industrial and Manufacturing Engineering 179
Replace Matej Črepinšek with:
Matej Črepinšek Slovenia
Francisco Luna Spain
Peter Gorm Larsen Denmark
Xiaoyu Song United States
Juan J. Durillo Spain
Leandro L. Minku United Kingdom
Johannes Bader Switzerland
Zhiqiu Huang China
Patrizio Pelliccione Italy
Slim Bechikh relative to Matej Črepinšek Slovenia Matej Črepinšek's profile →
Citations per field
00.5×1.5×2.2×
Matej Črepinšek · 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010235
2 2017226
3
Many-Objective Software Remodularization Using NSGA-III
Hit paper breakdown →
2015194
4 2015128
5 201496
6 201693
7 201473
8 201472
9 201470
10 201167
11 201565
12 201462
13 202048
14 201745
15 201844
16 201538
17 201437
18 201036
19 202135
20 201934

About Slim Bechikh

Slim Bechikh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Software and Computer Networks and Communications, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (35 papers), Metaheuristic Optimization Algorithms Research (33 papers), Evolutionary Algorithms and Applications (21 papers), Software Engineering Research (15 papers), Software Reliability and Analysis Research (14 papers), Advanced Malware Detection Techniques (9 papers), Vehicle Routing Optimization Methods (7 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Software (463 citations), Computational Theory and Mathematics (975 citations), Artificial Intelligence (1.1k citations), Information Systems (655 citations) and Industrial and Manufacturing Engineering (179 citations). Slim Bechikh has collaborated with scholars based in Tunisia, United States and France. Frequent co-authors include Lamjed Ben Saïd, Khaled Ghédira, Marouane Kessentini, Kalyanmoy Deb, Radhia Azzouz, Maha Elarbi, Mohamed Wiem Mkaouer, Ali Ouni, Yew-Soon Ong and Abhishek Gupta. Their work appears in journals such as Swarm and Evolutionary Computation, Neural Computing and Applications, IEEE Transactions on Evolutionary Computation, Soft Computing and Computers & Security.

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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