Mohamed Reda Keddar

42 total papers · 616 total citations
7 papers, 115 citations indexed

About

Mohamed Reda Keddar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Mohamed Reda Keddar has authored 7 papers receiving a total of 115 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Biomedical Engineering. Recurrent topics in Mohamed Reda Keddar's work include Advanced Multi-Objective Optimization Algorithms (3 papers), Artificial Immune Systems Applications (3 papers) and Bioinformatics and Genomic Networks (2 papers). Mohamed Reda Keddar is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (3 papers), Artificial Immune Systems Applications (3 papers) and Bioinformatics and Genomic Networks (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, Amelia Acha‐Sagredo, Lucia Montorsi, Patrick Davis, Joel Nulsen, Jacki Goldman, Lisa Dreßler, Karen Ambrose and Dimitra Repana and has published in prestigious journals such as Nature Communications, Genome biology and Applied Soft Computing.

In The Last Decade

Mohamed Reda Keddar

7 papers receiving 113 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mohamed Reda Keddar 70 26 19 16 14 7 115
Yunfang Yu 43 0.6× 15 0.6× 7 0.4× 15 0.9× 9 0.6× 10 126
Andrew Jones 100 1.4× 26 1.0× 19 1.0× 49 3.1× 10 0.7× 9 206
Junchen Yang 162 2.3× 14 0.5× 27 1.4× 7 0.4× 8 0.6× 8 217
Raphael Petegrosso 185 2.6× 52 2.0× 22 1.2× 34 2.1× 10 0.7× 8 260
Zhuliu Li 176 2.5× 45 1.7× 27 1.4× 34 2.1× 9 0.6× 9 251
Xinpei Sun 147 2.1× 28 1.1× 8 0.4× 20 1.3× 24 1.7× 11 283
Vincent A. Fusaro 151 2.2× 34 1.3× 4 0.2× 13 0.8× 17 1.2× 9 255
Ruijiang Li 177 2.5× 44 1.7× 8 0.4× 13 0.8× 21 1.5× 13 244
Binhua Tang 183 2.6× 49 1.9× 11 0.6× 33 2.1× 13 0.9× 16 252
Anna Swan 152 2.2× 15 0.6× 5 0.3× 26 1.6× 8 0.6× 5 237

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Reda Keddar. A scholar is included among the top collaborators of Mohamed Reda Keddar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Reda Keddar. Mohamed Reda Keddar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026