Ramiro Checa‐Garcia

2.1k total citations · 1 hit paper
24 papers, 600 citations indexed

About

Ramiro Checa‐Garcia is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Ramiro Checa‐Garcia has authored 24 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 21 papers in Global and Planetary Change and 4 papers in Earth-Surface Processes. Recurrent topics in Ramiro Checa‐Garcia's work include Atmospheric chemistry and aerosols (15 papers), Atmospheric aerosols and clouds (13 papers) and Atmospheric Ozone and Climate (11 papers). Ramiro Checa‐Garcia is often cited by papers focused on Atmospheric chemistry and aerosols (15 papers), Atmospheric aerosols and clouds (13 papers) and Atmospheric Ozone and Climate (11 papers). Ramiro Checa‐Garcia collaborates with scholars based in United States, France and United Kingdom. Ramiro Checa‐Garcia's co-authors include Yves Balkanski, Michaela I. Hegglin, Keith P. Shine, Samuel Albani, Longlei Li, Mian Chin, Peter R. Colarco, Jessica Wan, Jasper F. Kok and Martina Klose and has published in prestigious journals such as Nature Communications, Energy & Environmental Science and Geophysical Research Letters.

In The Last Decade

Ramiro Checa‐Garcia

23 papers receiving 591 citations

Hit Papers

Contribution of the world's main dust source regions to t... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Ramiro Checa‐Garcia
Christina Hsu United States
Tom Kucsera United States
Jessica Wan United States
Lillian Custals United States
Christina Hsu United States
Ramiro Checa‐Garcia
Citations per year, relative to Ramiro Checa‐Garcia Ramiro Checa‐Garcia (= 1×) peers Christina Hsu

Countries citing papers authored by Ramiro Checa‐Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Ramiro Checa‐Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ramiro Checa‐Garcia. 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 Ramiro Checa‐Garcia. The network helps show where Ramiro Checa‐Garcia may publish in the future.

Co-authorship network of co-authors of Ramiro Checa‐Garcia

This figure shows the co-authorship network connecting the top 25 collaborators of Ramiro Checa‐Garcia. A scholar is included among the top collaborators of Ramiro Checa‐Garcia 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 Ramiro Checa‐Garcia. Ramiro Checa‐Garcia 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.
Kok, Jasper F., Ashok Kumar Gupta, Amato T. Evan, et al.. (2025). Desert dust exerts a substantial longwave radiative forcing missing from climate models. California Digital Library.
2.
Sukhodolov, Timofei, et al.. (2023). The impact of different CO2 and ODS levels on the mean state and variability of the springtime Arctic stratosphere. Environmental Research Letters. 18(2). 24032–24032. 4 indexed citations
3.
Zhong, Qirui, Nick Schutgens, Guido R. van der Werf, et al.. (2022). Using modelled relationships and satellite observations to attribute modelled aerosol biases over biomass burning regions. Nature Communications. 13(1). 5914–5914. 12 indexed citations
4.
Balkanski, Yves, R. M. Bonnet, Oliviér Boucher, Ramiro Checa‐Garcia, & Jérôme Servonnat. (2021). Dust Induced Atmospheric Absorption Improves TropicalPrecipitations In Climate Models. 3 indexed citations
5.
Keeble, James, Birgit Haßler, Antara Banerjee, et al.. (2021). Evaluating stratospheric ozone and water vapor changes in CMIP6 models from 1850-2100 . 2 indexed citations
6.
Kok, Jasper F., Adeyemi A. Adebiyi, Samuel Albani, et al.. (2021). Improved representation of the global dust cycle using observational constraints on dust properties and abundance. Atmospheric chemistry and physics. 21(10). 8127–8167. 109 indexed citations
7.
Kok, Jasper F., Adeyemi A. Adebiyi, Samuel Albani, et al.. (2021). Contribution of the world's main dust source regions to the global cycle of desert dust. Atmospheric chemistry and physics. 21(10). 8169–8193. 218 indexed citations breakdown →
8.
Balkanski, Yves, R. M. Bonnet, Oliviér Boucher, Ramiro Checa‐Garcia, & Jérôme Servonnat. (2021). Better representation of dust can improve climate models with too weak an African monsoon. Atmospheric chemistry and physics. 21(14). 11423–11435. 15 indexed citations
9.
Checa‐Garcia, Ramiro, Yves Balkanski, Samuel Albani, et al.. (2021). Evaluation of natural aerosols in CRESCENDO Earth system models (ESMs): mineral dust. Atmospheric chemistry and physics. 21(13). 10295–10335. 23 indexed citations
10.
Su, Wenying, Lusheng Liang, Gunnar Myhre, et al.. (2021). Understanding Top‐of‐Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear‐Sky Perspective. Journal of Advances in Modeling Earth Systems. 13(9). 4 indexed citations
11.
Balkanski, Yves, R. M. Bonnet, Oliviér Boucher, Ramiro Checa‐Garcia, & Jérôme Servonnat. (2021). Dust Induced Atmospheric Absorption Improves Tropical Precipitations In Climate Models. Goldschmidt2021 abstracts. 2 indexed citations
12.
Checa‐Garcia, Ramiro, Yves Balkanski, Samuel Albani, et al.. (2020). Evaluation of natural aerosols in CRESCENDO-ESMs: Mineral Dust. 2 indexed citations
13.
Checa‐Garcia, Ramiro. (2020). FunFAN: set of functions for aerosols studies. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Checa‐Garcia, Ramiro, Michaela I. Hegglin, Douglas E. Kinnison, David A. Plummer, & Keith P. Shine. (2018). Historical Tropospheric and Stratospheric Ozone Radiative Forcing Using the CMIP6 Database. Geophysical Research Letters. 45(7). 3264–3273. 69 indexed citations
15.
Checa‐Garcia, Ramiro. (2018). CMIP6 Ozone forcing dataset: supporting information. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations
16.
Checa‐Garcia, Ramiro, Jochen Landgraf, André Galli, et al.. (2015). Mapping spectroscopic uncertainties into prospective methane retrieval errors from Sentinel-5 and its precursor. Atmospheric measurement techniques. 8(9). 3617–3629. 16 indexed citations
17.
Butz, A., J. Orphal, Ramiro Checa‐Garcia, et al.. (2015). Geostationary Emission Explorer for Europe (G3E): mission concept and initial performance assessment. Atmospheric measurement techniques. 8(11). 4719–4734. 22 indexed citations
18.
Checa‐Garcia, Ramiro, Ali Tokay, & Francisco J. Tapiador. (2014). Binning effects on in-situ raindrop size distribution measurements. Repository KITopen (Karlsruhe Institute of Technology). 5 indexed citations
19.
Tapiador, Francisco J., Arthur Y. Hou, Manuel de Castro, et al.. (2011). Precipitation estimates for hydroelectricity. Energy & Environmental Science. 4(11). 4435–4435. 20 indexed citations
20.
Checa‐Garcia, Ramiro & Francisco J. Tapiador. (2011). A Maximum Entropy Modelling of the Rain Drop Size Distribution. Entropy. 13(2). 293–315. 4 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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