E. Brun

7.9k total citations · 3 hit papers
48 papers, 4.5k citations indexed

About

E. Brun is a scholar working on Atmospheric Science, Global and Planetary Change and Management, Monitoring, Policy and Law. According to data from OpenAlex, E. Brun has authored 48 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 9 papers in Management, Monitoring, Policy and Law. Recurrent topics in E. Brun's work include Cryospheric studies and observations (37 papers), Climate change and permafrost (26 papers) and Landslides and related hazards (9 papers). E. Brun is often cited by papers focused on Cryospheric studies and observations (37 papers), Climate change and permafrost (26 papers) and Landslides and related hazards (9 papers). E. Brun collaborates with scholars based in France, Italy and United Kingdom. E. Brun's co-authors include Éric Martin, Marcel Sudul, Pierre‐Marie David, Y. Durand, Gilbert Guyomarc’h, Laurent Mérindol, Samuel Morin, Aaron Boone, Vitor Hugo Simon and Cécile Coléou and has published in prestigious journals such as Geophysical Research Letters, Nature Geoscience and Climatic Change.

In The Last Decade

E. Brun

46 papers receiving 4.3k citations

Hit Papers

A numerical model to simulate snow-cover stratigraphy for... 1992 2026 2003 2014 1992 2012 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Brun France 31 4.0k 1.8k 918 660 471 48 4.5k
Martin Hoelzle Switzerland 50 6.5k 1.6× 766 0.4× 1.9k 2.1× 527 0.8× 714 1.5× 147 6.9k
Simon Gascoin France 35 2.7k 0.7× 1.2k 0.7× 654 0.7× 965 1.5× 263 0.6× 156 3.7k
Anil V. Kulkarni India 35 5.0k 1.3× 989 0.6× 1.0k 1.1× 729 1.1× 688 1.5× 135 5.6k
F. Paul Switzerland 28 4.8k 1.2× 956 0.5× 891 1.0× 457 0.7× 734 1.6× 42 5.4k
A. H. Winstral United States 31 2.6k 0.7× 1.1k 0.6× 549 0.6× 1.4k 2.2× 141 0.3× 46 3.2k
Holger Frey Switzerland 28 3.7k 0.9× 760 0.4× 987 1.1× 428 0.6× 531 1.1× 49 4.3k
J. S. Deems United States 25 2.3k 0.6× 1.3k 0.7× 515 0.6× 983 1.5× 210 0.4× 57 3.2k
Thomas L. Mote United States 40 4.5k 1.1× 3.2k 1.8× 294 0.3× 241 0.4× 301 0.6× 135 5.5k
Ian Owens New Zealand 29 1.3k 0.3× 641 0.4× 649 0.7× 339 0.5× 168 0.4× 69 2.0k
George A. Riggs United States 24 4.1k 1.0× 1.4k 0.8× 332 0.4× 652 1.0× 270 0.6× 61 4.8k

Countries citing papers authored by E. Brun

Since Specialization
Citations

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

Fields of papers citing papers by E. Brun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Brun

This figure shows the co-authorship network connecting the top 25 collaborators of E. Brun. A scholar is included among the top collaborators of E. Brun 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 E. Brun. E. Brun 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
1.
Boone, Aaron, Patrick Samuelsson, Stefan Gollvik, et al.. (2017). The interactions between soil–biosphere–atmosphere land surface model with a multi-energy balance (ISBA-MEB) option in SURFEXv8 – Part 1: Model description. Geoscientific model development. 10(2). 843–872. 55 indexed citations
2.
Decharme, Bertrand, E. Brun, Aaron Boone, et al.. (2016). Impacts of snow and organic soils parameterization on northern Eurasian soil temperature profiles simulated by the ISBA land surface model. ˜The œcryosphere. 10(2). 853–877. 101 indexed citations
3.
Balsamo, Gianpaolo, Clément Albergel, Anton Beljaars, et al.. (2015). ERA-Interim/Land: a global land surface reanalysis data set. Hydrology and earth system sciences. 19(1). 389–407. 436 indexed citations breakdown →
4.
Steen‐Larsen, Hans Christian, Valérie Masson‐Delmotte, Camille Risi, et al.. (2014). Using Water Vapor Isotope Observations from above the Greenland Ice Sheet to improve the Interpretation of Ice Core Water Stable Isotope Records. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
5.
Brun, E., Ghislain Picard, Laurent Arnaud, et al.. (2014). Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica. ˜The œcryosphere. 8(4). 1361–1373. 68 indexed citations
6.
Gallet, Jean‐Charles, Florent Dominé, Joël Savarino, Marie Dumont, & E. Brun. (2014). The growth of sublimation crystals and surface hoar on the Antarctic plateau. ˜The œcryosphere. 8(4). 1205–1215. 33 indexed citations
7.
Steen‐Larsen, Hans Christian, Valérie Masson‐Delmotte, Motohiro Hirabayashi, et al.. (2014). What controls the isotopic composition of Greenland surface snow?. Climate of the past. 10(1). 377–392. 129 indexed citations
8.
Dominé, Florent, Samuel Morin, E. Brun, Matthieu Lafaysse, & Carlo Maria Carmagnola. (2013). Seasonal evolution of snow permeability under equi-temperature and temperature-gradient conditions. ˜The œcryosphere. 7(6). 1915–1929. 21 indexed citations
9.
Steen‐Larsen, Hans Christian, Valérie Masson‐Delmotte, Motohiro Hirabayashi, et al.. (2013). What controls the isotopic composition of Greenland surface snow?. 1 indexed citations
10.
Brun, E.. (2012). La parenté entre Lascaux et les grottes du "groupe de Pech-Merle". 49–60. 2 indexed citations
11.
Vionnet, Vincent, E. Brun, Samuel Morin, et al.. (2012). The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2. Geoscientific model development. 5(3). 773–791. 489 indexed citations breakdown →
12.
Masson, Valéry, et al.. (2012). “Grand Paris”: regional landscape change to adapt city to climate warming. Climatic Change. 117(4). 769–782. 50 indexed citations
14.
Giraud, G., et al.. (2002). Crocusmeprapc Software: A Tool for Local Simulations of Snow Cover Stratigraphy and Avalanche Risks. 123–129. 1 indexed citations
15.
Durand, Y., G. Giraud, E. Brun, Laurent Mérindol, & Éric Martin. (1999). A computer-based system simulating snowpack structures as a tool for regional avalanche forecasting. Journal of Glaciology. 45(151). 469–484. 64 indexed citations
16.
Marsh, Philip, Richard Essery, John W. Pomeroy, et al.. (1999). Model estimates of local advection of sensible heat over a patchy snow cover. IAHS-AISH publication. 103–110. 9 indexed citations
17.
Brun, E., et al.. (1992). A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting. Journal of Glaciology. 38(128). 13–22. 523 indexed citations breakdown →
18.
Brun, E., et al.. (1992). A numerical model to simulate snow-cover stratigraphy for operational avalanche forecasting. Journal of Glaciology. 38(128). 13–22. 119 indexed citations
19.
Brun, E., et al.. (1991). An efficient method for a delayed and accurate characterization of snow grains from natural snowpacks. Journal of Glaciology. 37(127). 420–422. 22 indexed citations
20.
Brun, E., et al.. (1989). An Energy and Mass Model of Snow Cover Suitable for Operational Avalanche Forecasting. Journal of Glaciology. 35(121). 333–342. 145 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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