A.‐J. Valleron

53 total papers · 1.2k total citations
32 papers, 844 citations indexed

About

A.‐J. Valleron is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, A.‐J. Valleron has authored 32 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Modeling and Simulation and 4 papers in Infectious Diseases. Recurrent topics in A.‐J. Valleron's work include COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (4 papers) and Healthcare Systems and Practices (3 papers). A.‐J. Valleron is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (4 papers) and Healthcare Systems and Practices (3 papers). A.‐J. Valleron collaborates with scholars based in France, United States and United Kingdom. A.‐J. Valleron's co-authors include Antoine Flahault, Pierre‐Yves Boëlle, Judith Legrand, Rebecca F. Grais, Thierry Poynard, Sylvie Deuffic‐Burban, Philippe Garnerin, Dominique Costagliola, Pierre Chauvin and E Frindel and has published in prestigious journals such as American Journal of Public Health, Annals of the New York Academy of Sciences and International Journal of Epidemiology.

In The Last Decade

A.‐J. Valleron

31 papers receiving 808 citations

Author Peers

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

Author Last Decade Papers Cites
A.‐J. Valleron 372 319 289 126 100 32 844
Séverine Ansart 191 0.5× 307 1.0× 377 1.3× 227 1.8× 53 0.5× 49 891
Fiona Guerra 193 0.5× 236 0.7× 392 1.4× 77 0.6× 70 0.7× 15 813
John Edmunds 197 0.5× 163 0.5× 426 1.5× 99 0.8× 38 0.4× 16 814
Rebecca Kahn 491 1.3× 520 1.6× 200 0.7× 65 0.5× 34 0.3× 45 964
Francesco Maria Fusco 78 0.2× 438 1.4× 174 0.6× 133 1.1× 57 0.6× 48 789
G Poggensee 79 0.2× 305 1.0× 298 1.0× 197 1.6× 74 0.7× 26 985
Naif Khalaf Alharbi 142 0.4× 495 1.6× 141 0.5× 67 0.5× 26 0.3× 61 997
Akaninyene Otu 110 0.3× 193 0.6× 173 0.6× 73 0.6× 26 0.3× 39 744
Prasith Baccam 173 0.5× 217 0.7× 373 1.3× 134 1.1× 35 0.3× 12 720
Bénido Impouma 241 0.6× 305 1.0× 120 0.4× 176 1.4× 13 0.1× 53 711

Countries citing papers authored by A.‐J. Valleron

Since Specialization
Citations

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

Fields of papers citing papers by A.‐J. Valleron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A.‐J. Valleron. 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 A.‐J. Valleron. The network helps show where A.‐J. Valleron may publish in the future.

Co-authorship network of co-authors of A.‐J. Valleron

This figure shows the co-authorship network connecting the top 25 collaborators of A.‐J. Valleron. A scholar is included among the top collaborators of A.‐J. Valleron 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 A.‐J. Valleron. A.‐J. Valleron 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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