Emilie Capron

625 total citations
2 papers, 35 citations indexed

About

Emilie Capron is a scholar working on Atmospheric Science, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Emilie Capron has authored 2 papers receiving a total of 35 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Atmospheric Science, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Emilie Capron's work include Geology and Paleoclimatology Research (2 papers), Tree-ring climate responses (1 paper) and Climate change and permafrost (1 paper). Emilie Capron is often cited by papers focused on Geology and Paleoclimatology Research (2 papers), Tree-ring climate responses (1 paper) and Climate change and permafrost (1 paper). Emilie Capron collaborates with scholars based in Denmark, United Kingdom and France. Emilie Capron's co-authors include Julia C. Tindall, Valérie Masson‐Delmotte, Eric Wolff, Jesper Sjolte, Louise C. Sime, Camille Risi, Amaëlle Landais, Frédéric Parrenin, Lucie Bazin and Sune Olander Rasmussen and has published in prestigious journals such as Quaternary Science Reviews.

In The Last Decade

Emilie Capron

2 papers receiving 35 citations

Peers

Emilie Capron
Dean Henze United States
Moya Macdonald United Kingdom
Lucas Shaw United States
Morgan McDonnell United States
Birthe Twarloh Switzerland
Mathijs van Manen Netherlands
Noah Smith United Kingdom
C. Koeppel Germany
Emilie Capron
Citations per year, relative to Emilie Capron Emilie Capron (= 1×) peers Ester Garcia-Solsona

Countries citing papers authored by Emilie Capron

Since Specialization
Citations

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

Fields of papers citing papers by Emilie Capron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilie Capron

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

All Works

2 of 2 papers shown
1.
Parrenin, Frédéric, Lucie Bazin, Christo Buizert, et al.. (2021). The Paleochrono probabilistic model to derive a consistent chronology for several paleoclimatic sites. 2 indexed citations
2.
Sime, Louise C., Camille Risi, Julia C. Tindall, et al.. (2013). Warm climate isotopic simulations: what do we learn about interglacial signals in Greenland ice cores?. Quaternary Science Reviews. 67. 59–80. 33 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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