Antoine Mahul

572 total citations
11 papers, 398 citations indexed

About

Antoine Mahul is a scholar working on Molecular Biology, Ecology and Computer Networks and Communications. According to data from OpenAlex, Antoine Mahul has authored 11 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Computer Networks and Communications. Recurrent topics in Antoine Mahul's work include Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (3 papers) and Plant Virus Research Studies (2 papers). Antoine Mahul is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Bacteriophages and microbial interactions (3 papers) and Plant Virus Research Studies (2 papers). Antoine Mahul collaborates with scholars based in France, Austria and Germany. Antoine Mahul's co-authors include François Enault, Didier Debroas, Simon Roux, Aurélien Bernard, Jérémie Denonfoux, Pierre Peyret, Nicolas Parisot, Geneviève Billaud, Martin Enders and Audrey Mirand and has published in prestigious journals such as Nature Communications, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Antoine Mahul

10 papers receiving 389 citations

Peers

Antoine Mahul

ECOLO

MB

PS

ID

EPIDE

Mondher Boughalmi France

Miguel Zamora United States

K. Mise Japan

Hongguang Ren China

Philippe Decloquement France

K. Sivakumaran United States

G. Leone United States

Nicholas J. Parham United Kingdom

Hans Peter Arnold Germany

Victoria Furió Spain

Mondher Boughalmi France

Antoine Mahul

375 ×1.5

ECOLO

85 ×0.5

MB

223 ×1.8

PS

93 ×1.0

ID

87 ×1.6

EPIDE

Citations per year, relative to Antoine Mahul Antoine Mahul (= 1×) peers Mondher Boughalmi

Countries citing papers authored by Antoine Mahul

Since Specialization

Citations

This map shows the geographic impact of Antoine Mahul'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 Antoine Mahul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Mahul more than expected).

Fields of papers citing papers by Antoine Mahul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antoine Mahul. 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 Antoine Mahul. The network helps show where Antoine Mahul may publish in the future.

Co-authorship network of co-authors of Antoine Mahul

This figure shows the co-authorship network connecting the top 25 collaborators of Antoine Mahul. A scholar is included among the top collaborators of Antoine Mahul 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 Antoine Mahul. Antoine Mahul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Parisot, Nicolas, Éric Peyretaillade, Éric Dugat‐Bony, et al.. (2015). Probe Design Strategies for Oligonucleotide Microarrays. Methods in molecular biology. 1368. 67–82. 2 indexed citations

2.

Roux, Simon, et al.. (2014). Metavir 2: new tools for viral metagenome comparison and assembled virome analysis. BMC Bioinformatics. 15(1). 76–76. 166 indexed citations

3.

Parisot, Nicolas, Abdelmajid Abid, Jérémie Denonfoux, et al.. (2014). PhylOPDb: a 16S rRNA oligonucleotide probe database for prokaryotic identification. Database. 2014(0). bau036–bau036. 16 indexed citations

4.

Parisot, Nicolas, et al.. (2014). Large Scale Explorative Oligonucleotide Probe Selection for Thousands of Genetic Groups on a Computing Grid: Application to Phylogenetic Probe Design Using a Curated Small Subunit Ribosomal RNA Gene Database. The Scientific World JOURNAL. 2014. 1–9. 1 indexed citations

5.

Mahul, Antoine, et al.. (2013). Template Metaprogramming Techniques for Concept-Based Specialization. Scientific Programming. 21(1-2). 43–61.

6.

Peyretaillade, Éric, Nicolas Parisot, Valérie Polonais, et al.. (2012). Annotation of microsporidian genomes using transcriptional signals. Nature Communications. 3(1). 1137–1137. 39 indexed citations

7.

Roux, Simon, et al.. (2011). Metavir: a web server dedicated to virome analysis. Bioinformatics. 27(21). 3074–3075. 118 indexed citations

8.

Mirand, Audrey, Isabelle Schuffenecker, Cécile Henquell, et al.. (2010). Phylogenetic evidence for a recent spread of two populations of human enterovirus 71 in European countries. Journal of General Virology. 91(9). 2263–2277. 46 indexed citations

9.

Mahul, Antoine, et al.. (2005). Designing generic algorithms for operations research. Software Practice and Experience. 36(1). 73–93. 2 indexed citations

10.

Mahul, Antoine & Alex Aussem. (2003). Distributed Neural Networks for Quality of Service Estimation in Communication Networks. International Journal of Computational Intelligence and Applications. 3(3). 297–308. 3 indexed citations

11.

Aussem, Alexandre, Antoine Mahul, & Raymond Marie. (2000). Queueing network modelling with distributed neural networks for service quality estimation in B-ISDN networks. 392–397 vol.5. 5 indexed citations

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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