Mohamed Reda Keddar

7 papers and 86 indexed citations i.

About

Mohamed Reda Keddar is a scholar working on Molecular Biology, Biomedical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Mohamed Reda Keddar has authored 7 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomedical Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in Mohamed Reda Keddar’s work include Artificial Immune Systems Applications (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Mohamed Reda Keddar is often cited by papers focused on Artificial Immune Systems Applications (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). Mohamed Reda Keddar collaborates with scholars based in United Kingdom, Algeria and Italy. Mohamed Reda Keddar's co-authors include Francesca D. Ciccarelli, Michele Bortolomeazzi, Lucia Montorsi, Amelia Acha‐Sagredo, Jacki Goldman, Luigi Laghi, Jo Spencer, Gianluca Basso, Amy Strange and Karen Ambrose and has published in prestigious journals such as Nature Communications, Genome biology and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Mohamed Reda Keddar i

Fields of papers citing papers by Mohamed Reda Keddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Reda Keddar. 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 Mohamed Reda Keddar. The network helps show where Mohamed Reda Keddar may publish in the future.

Countries citing papers authored by Mohamed Reda Keddar

Since Specialization
Citations

This map shows the geographic impact of Mohamed Reda Keddar'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 Mohamed Reda Keddar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Reda Keddar 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