Bernard Cazelles

7.2k citations
117 papers · 5.2k indexed · 1 hit paper · h-index 41
Topics
Mosquito-borne diseases and control (27 papers)COVID-19 epidemiological studies (26 papers)Viral Infections and Vectors (19 papers)
Partner nations
FranceUnited StatesChina

In The Last Decade

Bernard Cazelles

116 papers receiving 5.0k citations

Hit Papers

Wavelet analysis of ecological time series20082026201420202008100200300400500

Peers

Bernard Cazelles
Comparison fields: 5 of 169
  • Public Health, Environmental and Occupational Health 1.5k
  • Global and Planetary Change 1.4k
  • Ecology 1.4k
  • Infectious Diseases 1.2k
  • Modeling and Simulation 709
Replace Tanja Stadler with:
Tanja Stadler Switzerland
Lewi Stone Israel
Sebastian J. Schreiber United States
Frederick R. Adler United States
Enrico Bertuzzo Italy
Guy Baele Belgium
Jonathan Dushoff Canada
Sadie J. Ryan United States
Leah R. Johnson United States
Andrea Rinaldo Italy
Bernard Cazelles relative to Tanja Stadler Switzerland Tanja Stadler's profile →
Citations per field
00.5×3.4×
Tanja Stadler · 1×
Citations per year

Countries citing papers authored by Bernard Cazelles

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Cazelles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Cazelles

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 10
3 6
4 6
5 14
6 10
7 28
8 56
9 9
10 75
11 38
12 17
13 36
14 36
15 15
16 53
17 15
18 79
19 90
20 1

About Bernard Cazelles

Bernard Cazelles is a scholar working on Modeling and Simulation, Ecological Modeling and Global and Planetary Change, having authored 117 papers that have together received 5.2k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (27 papers), COVID-19 epidemiological studies (26 papers) and Viral Infections and Vectors (19 papers). The work is most often cited by research in Modeling and Simulation (709 citations), Ecological Modeling (339 citations) and Global and Planetary Change (1.4k citations). Bernard Cazelles has collaborated with scholars based in France, United States and China. Frequent co-authors include Mario Chávez, Nils Chr. Stenseth, Simon Hales, Jon Olav Vik, Frédéric Ménard, Stéphanie Jenouvrier, Dominique Berteaux, Jean‐François Guégan, Guillaume Constantin de Magny and Huaiyu Tian. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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