David Fuchs

410 total citations
18 papers, 241 citations indexed

About

David Fuchs is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, David Fuchs has authored 18 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in David Fuchs's work include Climate variability and models (10 papers), Meteorological Phenomena and Simulations (9 papers) and Atmospheric chemistry and aerosols (7 papers). David Fuchs is often cited by papers focused on Climate variability and models (10 papers), Meteorological Phenomena and Simulations (9 papers) and Atmospheric chemistry and aerosols (7 papers). David Fuchs collaborates with scholars based in Australia, France and United Kingdom. David Fuchs's co-authors include Steven C. Sherwood, Olivier Geoffroy, Hiep Nguyen Duc, Lisa Tzu-Chi Chang, Sandrine Bony, Paul Fellinger, Yvonne Winhofer, Anton Luger, Peter Wolf and Georg Heinze and has published in prestigious journals such as Journal of Climate, Journal of the Atmospheric Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

David Fuchs

18 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Fuchs Australia 10 136 116 46 35 21 18 241
M.A. Burgos Spain 13 170 1.3× 171 1.5× 30 0.7× 14 0.4× 33 1.6× 19 313
John A. Herring United States 10 190 1.4× 251 2.2× 54 1.2× 1 0.0× 138 6.6× 16 450
Dragoș Ene Romania 9 148 1.1× 124 1.1× 44 1.0× 1 0.0× 5 0.2× 33 215
Julia Schneider United States 6 64 0.5× 147 1.3× 3 0.1× 5 0.1× 15 0.7× 14 230
Chanil Park South Korea 11 198 1.5× 176 1.5× 14 0.3× 4 0.2× 33 482
F. Wagner Portugal 10 424 3.1× 427 3.7× 66 1.4× 3 0.1× 23 475
Suleiman Mostamandi Saudi Arabia 10 186 1.4× 193 1.7× 53 1.2× 16 243
Pamela J. Young United States 4 255 1.9× 169 1.5× 11 0.2× 8 0.4× 6 357
Alessandro Bracci Italy 8 162 1.2× 233 2.0× 63 1.4× 19 271
Jiecan Cui China 10 149 1.1× 207 1.8× 39 0.8× 24 227

Countries citing papers authored by David Fuchs

Since Specialization
Citations

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

Fields of papers citing papers by David Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fuchs

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

All Works

18 of 18 papers shown
1.
Duc, Hiep Nguyen, John Leys, Matthew Riley, et al.. (2024). Effects of Dust Storm and Wildfire Events on Phytoplankton Growth and Carbon Sequestration in the Tasman Sea, Southeast Australia. Atmosphere. 15(3). 337–337. 2 indexed citations
2.
Fuchs, David, et al.. (2024). TorchClim v1.0: a deep-learning plugin for climate model physics. Geoscientific model development. 17(14). 5459–5475. 1 indexed citations
3.
Chappell, Adrian, Nicholas P. Webb, Charles S. Zender, et al.. (2023). Elucidating Hidden and Enduring Weaknesses in Dust Emission Modeling. Journal of Geophysical Research Atmospheres. 128(17). 10 indexed citations
4.
Bao, Jiawei, et al.. (2023). Predicting Convective Downdrafts From Updrafts and Environmental Conditions in a Global Storm Resolving Simulation. Journal of Advances in Modeling Earth Systems. 15(3). 6 indexed citations
5.
Fuchs, David, et al.. (2022). Midlatitude jet position spread linked to atmospheric convective types. Journal of Climate. 1–44. 9 indexed citations
6.
Sherwood, Steven C., et al.. (2022). Can We Use 1D Models to Predict 3D Model Response to Forcing in an Idealized Framework?. Journal of Advances in Modeling Earth Systems. 14(4). 4 indexed citations
7.
Hendon, Harry H., et al.. (2022). On the Dynamics of Indian Ocean Teleconnections into the Southern Hemisphere during Austral Winter. Journal of the Atmospheric Sciences. 79(9). 2453–2469. 9 indexed citations
8.
Sherwood, Steven C., Alison Stirling, Catherine Rio, et al.. (2021). Characterizing Convection Schemes Using Their Responses to Imposed Tendency Perturbations. Journal of Advances in Modeling Earth Systems. 13(5). 6 indexed citations
9.
Duc, Hiep Nguyen, Merched Azzi, Stephen White, et al.. (2021). The Summer 2019–2020 Wildfires in East Coast Australia and Their Impacts on Air Quality and Health in New South Wales, Australia. International Journal of Environmental Research and Public Health. 18(7). 3538–3538. 26 indexed citations
10.
Duc, Hiep Nguyen, Merched Azzi, Ningxin Jiang, et al.. (2021). The Effect of Lockdown Period during the COVID-19 Pandemic on Air Quality in Sydney Region, Australia. International Journal of Environmental Research and Public Health. 18(7). 3528–3528. 15 indexed citations
11.
Chappell, Adrian, Nicholas P. Webb, Charles S. Zender, et al.. (2021). Weaknesses in dust emission modelling hidden by tuning to dust in the atmosphere. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
12.
Sherwood, Steven C., Katrin J. Meißner, Alex Sen Gupta, et al.. (2021). A multimodel investigation of atmospheric mechanisms for driving Arctic amplification in warmer climates. Journal of Climate. 1–55. 4 indexed citations
13.
Fellinger, Paul, David Fuchs, Peter Wolf, et al.. (2019). Overweight and obesity in type 1 diabetes equal those of the general population. Wiener klinische Wochenschrift. 131(3-4). 55–60. 51 indexed citations
14.
Chang, Lisa Tzu-Chi, et al.. (2019). Major Source Contributions to Ambient PM2.5 and Exposures within the New South Wales Greater Metropolitan Region. Atmosphere. 10(3). 138–138. 27 indexed citations
15.
Sherwood, Steven C., et al.. (2018). Identifying the Sources of Convective Memory in Cloud-Resolving Simulations. Journal of the Atmospheric Sciences. 76(3). 947–962. 34 indexed citations
16.
Geoffroy, Olivier, Steven C. Sherwood, & David Fuchs. (2017). On the role of the stratiform cloud scheme in the inter‐model spread of cloud feedback. Journal of Advances in Modeling Earth Systems. 9(1). 423–437. 20 indexed citations
17.
Fuchs, David & Steven C. Sherwood. (2016). Practical Approximations to Seasonal Fluctuation–Dissipation Operators Given a Limited Sample. Journal of the Atmospheric Sciences. 73(6). 2529–2545. 1 indexed citations
18.
Fuchs, David, Steven C. Sherwood, & Daniel Hernández‐Deckers. (2014). An Exploration of Multivariate Fluctuation Dissipation Operators and Their Response to Sea Surface Temperature Perturbations. Journal of the Atmospheric Sciences. 72(1). 472–486. 14 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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