Pierre Nouvellet

142 total papers · 11.2k total citations
64 papers, 2.0k citations indexed

About

Pierre Nouvellet is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Pierre Nouvellet has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 20 papers in Infectious Diseases and 19 papers in Modeling and Simulation. Recurrent topics in Pierre Nouvellet's work include COVID-19 epidemiological studies (19 papers), Viral Infections and Outbreaks Research (12 papers) and Trypanosoma species research and implications (11 papers). Pierre Nouvellet is often cited by papers focused on COVID-19 epidemiological studies (19 papers), Viral Infections and Outbreaks Research (12 papers) and Trypanosoma species research and implications (11 papers). Pierre Nouvellet collaborates with scholars based in United Kingdom, United States and France. Pierre Nouvellet's co-authors include Christl A. Donnelly, Zulma M. Cucunubá, David W. Macdonald, María‐Gloria Basáñez, Sébastien Gourbière, Anne Cori, Ilaria Dorigatti, Eric Dumonteil, Gemma Nedjati‐Gilani and Neil M. Ferguson and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Pierre Nouvellet

61 papers receiving 2.0k citations

Author Peers

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

Author						Papers	Cites
Pierre Nouvellet	720	588	546	399	337	64	2.0k
Marc Choisy	329 0.5×	554 0.9×	471 0.9×	244 0.6×	317 0.9×	88	2.0k
Andrea Pugliese	496 0.7×	1.1k 1.8×	738 1.4×	815 2.0×	297 0.9×	156	2.8k
Kim M. Pepin	364 0.5×	1.0k 1.7×	862 1.6×	243 0.6×	753 2.2×	112	2.8k
Camille Lebarbenchon	786 1.1×	250 0.4×	841 1.5×	137 0.3×	502 1.5×	83	2.0k
M. G. Roberts	496 0.7×	923 1.6×	465 0.9×	800 2.0×	595 1.8×	84	2.7k
Colleen T. Webb	307 0.4×	444 0.8×	553 1.0×	189 0.5×	533 1.6×	76	2.3k
Jemma L. Geoghegan	281 0.4×	340 0.6×	700 1.3×	192 0.5×	315 0.9×	72	1.8k
Jan Medlock	593 0.8×	956 1.6×	828 1.5×	853 2.1×	114 0.3×	53	2.4k
Olivier Restif	453 0.6×	816 1.4×	941 1.7×	171 0.4×	399 1.2×	75	2.7k
Damien O. Joly	307 0.4×	652 1.1×	778 1.4×	158 0.4×	512 1.5×	82	2.9k

Countries citing papers authored by Pierre Nouvellet

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Nouvellet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Nouvellet

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Nouvellet. A scholar is included among the top collaborators of Pierre Nouvellet 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 Pierre Nouvellet. Pierre Nouvellet 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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