Leila Kallel

8 papers and 224 indexed citations i.

About

Leila Kallel is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Leila Kallel has authored 8 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 1 paper in Molecular Biology. Recurrent topics in Leila Kallel’s work include Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Leila Kallel is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Evolutionary Algorithms and Applications (5 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Leila Kallel collaborates with scholars based in France, United Kingdom and Belgium. Leila Kallel's co-authors include Josselin Garnier, Marc Schoenauer, Bart Naudts, François Jouve, Jonathan E. Rowe, Pierre Del Moral, K Bouzouita, Patricia Aïssa and H. Trabelsi and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Journal of Separation Science and Evolutionary Computation.

In The Last Decade

Co-authorship network of co-authors of Leila Kallel i

Fields of papers citing papers by Leila Kallel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Leila Kallel

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025