Leila Kallel
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Artificial Intelligence top 5%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Algorithms and Data Compression
Papers in
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- Metaheuristic Optimization Algorithms Research 8
- Evolutionary Algorithms and Applications 7
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- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Bart Naudts (4 shared papers)Josselin Garnier (3 shared papers)Marc Schoenauer (4 shared papers)François Jouve (1 shared paper)Jonathan E. Rowe (1 shared paper)Pierre Del Moral (1 shared paper)K Bouzouita (1 shared paper)Patricia Aïssa (1 shared paper)
- Journals
- IEEE Transactions on Evolutionary Computation (2 papers)Journal of Separation Science (1 paper)SIAM Journal on Discrete Mathematics (1 paper)Evolutionary Computation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- FranceBelgiumUnited Kingdom
In The Last Decade
Leila Kallel
11 papers receiving 350 citations
Peers
Comparison fields: 5 of 62
- Computational Theory and Mathematics 178
- Artificial Intelligence 289
- Industrial and Manufacturing Engineering 19
- Genetics 45
- Computer Networks and Communications 33
Countries citing papers authored by Leila Kallel
This map shows the geographic impact of Leila Kallel'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 Leila Kallel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leila Kallel more than expected).
Fields of papers citing papers by Leila Kallel
This network shows the impact of papers produced by Leila Kallel. 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 Leila Kallel. The network helps show where Leila Kallel may publish in the future.
Co-authors
The 9 scholars most cited alongside Leila Kallel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 100 | |
| 2 | 2000 | 95 | |
| 3 | 2001 | 90 | |
| 4 | 2001 | 30 | |
| 5 | 1996 | 17 | |
| 6 | Alternative Random Initialization in Genetic Algorithms. | 1997 | 15 |
| 7 | 2000 | 15 | |
| 8 | 2001 | 10 | |
| 9 | 2003 | 5 | |
| 10 | Candidate Longpaths for the Simple Genetic Algorithm. | 1998 | 5 |
| 11 | 2006 | 4 |
About Leila Kallel
Leila Kallel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Surgery, Molecular Biology and Civil and Structural Engineering, having authored 11 papers that have together received 386 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (7 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Structural Health Monitoring Techniques (1 paper), Data Management and Algorithms (1 paper), Cholesterol and Lipid Metabolism (1 paper), Optical measurement and interference techniques (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Computational Theory and Mathematics (178 citations), Artificial Intelligence (289 citations), Industrial and Manufacturing Engineering (19 citations), Genetics (45 citations) and Computer Networks and Communications (33 citations). Leila Kallel has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Bart Naudts, Josselin Garnier, Marc Schoenauer, François Jouve, Jonathan E. Rowe, Pierre Del Moral, K Bouzouita, Patricia Aïssa and H. Trabelsi. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Journal of Separation Science, SIAM Journal on Discrete Mathematics, Evolutionary Computation and SHILAP Revista de lepidopterología.
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.