Jonathan Guth

1.1k total citations
15 papers, 212 citations indexed

About

Jonathan Guth is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jonathan Guth has authored 15 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jonathan Guth's work include Atmospheric chemistry and aerosols (15 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric aerosols and clouds (8 papers). Jonathan Guth is often cited by papers focused on Atmospheric chemistry and aerosols (15 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric aerosols and clouds (8 papers). Jonathan Guth collaborates with scholars based in France, Italy and Germany. Jonathan Guth's co-authors include Virginie Marécal, Béatrice Josse, Paul Hamer, Mathieu Joly, Joaquim Arteta, L. El Amraoui, Johannes Flemming, Vincent Huijnen, Thierno Doumbia and Y. Christophe and has published in prestigious journals such as Atmospheric chemistry and physics, Remote Sensing and Natural hazards and earth system sciences.

In The Last Decade

Jonathan Guth

14 papers receiving 210 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Guth France	9	190	166	41	21	7	15	212
Michał Posyniak Poland	10	194 1.0×	194 1.2×	46 1.1×	24 1.1×	3 0.4×	23	243
Andrés Esteban Bedoya-Velásquez Spain	11	245 1.3×	258 1.6×	35 0.9×	39 1.9×	3 0.4×	22	298
Kirsten N. Fossum Ireland	6	191 1.0×	149 0.9×	38 0.9×	16 0.8×	7 1.0×	12	205
Mónica Navarro-Comas Spain	10	215 1.1×	183 1.1×	35 0.9×	18 0.9×	4 0.6×	17	247
Athina Argyrouli Greece	8	200 1.1×	204 1.2×	41 1.0×	41 2.0×	3 0.4×	23	236
Olga Zawadzka Poland	10	219 1.2×	234 1.4×	52 1.3×	35 1.7×	4 0.6×	22	264
Sumit Kumar India	8	292 1.5×	237 1.4×	83 2.0×	14 0.7×	9 1.3×	26	307
Janne Lampilahti Finland	9	197 1.0×	158 1.0×	93 2.3×	30 1.4×	12 1.7×	21	221
Sujung Go United States	10	194 1.0×	184 1.1×	36 0.9×	38 1.8×	2 0.3×	19	235
Karine Sellegri France	7	123 0.6×	87 0.5×	46 1.1×	13 0.6×	5 0.7×	19	149

Countries citing papers authored by Jonathan Guth

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Guth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Guth

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

All Works

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15 of 15 papers shown

Marécal, Virginie, Jonathan Guth, Giuseppe Salerno, et al.. (2023). Impact of SO2 Flux Estimation in the Modeling of the Plume of Mount Etna Christmas 2018 Eruption and Comparison against Multiple Satellite Sensors. Remote Sensing. 15(3). 758–758. 2 indexed citations

Marécal, Virginie, Tjarda Roberts, Alessandro Aiuppa, et al.. (2023). Halogen chemistry in volcanic plumes: a 1D framework based on MOCAGE 1D (version R1.18.1) preparing 3D global chemistry modelling. Geoscientific model development. 16(10). 2873–2898. 2 indexed citations

Hamer, Paul, Virginie Marécal, Tjarda Roberts, et al.. (2023). A regional modelling study of halogen chemistry within a volcanic plume of Mt Etna's Christmas 2018 eruption. Atmospheric chemistry and physics. 23(18). 10533–10561. 1 indexed citations

Guth, Jonathan, et al.. (2021). Modeling study of the impact of SO ₂ volcanic passive emissions on the tropospheric sulfur budget. Atmospheric chemistry and physics. 21(14). 11379–11404. 11 indexed citations

Plu, Matthieu, Emanuele Emili, Luca Bugliaro, et al.. (2021). Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements. elib (German Aerospace Center). 2 indexed citations

Plu, Matthieu, Emanuele Emili, Luca Bugliaro, et al.. (2021). Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements. Natural hazards and earth system sciences. 21(12). 3731–3747. 9 indexed citations

Marécal, Virginie, et al.. (2020). Update of the volcanic sulfur emission inventory in MOCAGE CTM and its impact on the budget of sulfur species in the atmosphere. 1 indexed citations

Huijnen, Vincent, Andrea Pozzer, Joaquim Arteta, et al.. (2019). Quantifying uncertainties due to chemistry modelling – evaluation of tropospheric composition simulations in the CAMS model (cycle 43R1). Geoscientific model development. 12(4). 1725–1752. 39 indexed citations

Plu, Matthieu, Virginie Marécal, Francis Olivier, et al.. (2019). Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager. Atmospheric measurement techniques. 12(2). 1251–1275. 14 indexed citations

10.

Krysztofiak, Gisèle, Valéry Catoire, Jonathan Guth, et al.. (2018). Intercontinental transport of biomass burning pollutants over the Mediterranean Basin during the summer 2014 ChArMEx-GLAM airborne campaign. Atmospheric chemistry and physics. 18(9). 6887–6906. 15 indexed citations

11.

Guth, Jonathan, Virginie Marécal, Béatrice Josse, Joaquim Arteta, & Paul Hamer. (2018). Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013. Atmospheric chemistry and physics. 18(7). 4911–4934. 12 indexed citations

12.

Hall, Samuel R., Kirk Ullmann, Michael J. Prather, et al.. (2018). Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission. Atmospheric chemistry and physics. 18(22). 16809–16828. 30 indexed citations

13.

Guth, Jonathan, Béatrice Josse, Virginie Marécal, Mathieu Joly, & Paul Hamer. (2016). First implementation of secondary inorganic aerosols in the MOCAGE version R2.15.0 chemistry transport model. Geoscientific model development. 9(1). 137–160. 38 indexed citations

14.

Amraoui, L. El, Virginie Marécal, Béatrice Josse, et al.. (2015). Modelling of primary aerosols in the chemical transport model MOCAGE: development and evaluation of aerosol physical parameterizations. Geoscientific model development. 8(2). 381–408. 36 indexed citations

15.

Guth, Jonathan, Béatrice Josse, Virginie Marécal, & Mathieu Joly. (2015). Simulating Secondary Inorganic Aerosols using the chemistry transport model MOCAGE version R2.15.0.

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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