Adam Varble

2.5k total citations
55 papers, 1.1k citations indexed

About

Adam Varble is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Adam Varble has authored 55 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Atmospheric Science, 48 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Adam Varble's work include Meteorological Phenomena and Simulations (39 papers), Atmospheric aerosols and clouds (33 papers) and Climate variability and models (25 papers). Adam Varble is often cited by papers focused on Meteorological Phenomena and Simulations (39 papers), Atmospheric aerosols and clouds (33 papers) and Climate variability and models (25 papers). Adam Varble collaborates with scholars based in United States, United Kingdom and France. Adam Varble's co-authors include Hugh Morrison, Edward J. Zipser, Jiwen Fan, Ann M. Fridlind, Scott Giangrande, Andrew S. Ackerman, Adrian Hill, Jean‐Pierre Chaboureau, Ben Shipway and Joseph Hardin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Science Advances.

In The Last Decade

Adam Varble

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Varble United States 19 1.0k 988 103 59 29 55 1.1k
Ulrich Blahak Germany 18 1.2k 1.2× 1000 1.0× 206 2.0× 86 1.5× 52 1.8× 53 1.4k
Youssef Wehbe United Arab Emirates 16 524 0.5× 554 0.6× 157 1.5× 69 1.2× 37 1.3× 31 718
Thorsten Reinhardt Germany 7 815 0.8× 775 0.8× 134 1.3× 21 0.4× 45 1.6× 8 945
Haidao Lin United States 5 794 0.8× 679 0.7× 165 1.6× 29 0.5× 54 1.9× 6 923
Alessio Bozzo United Kingdom 14 892 0.9× 874 0.9× 62 0.6× 26 0.4× 75 2.6× 25 1000
Linda Schlemmer Switzerland 16 878 0.8× 844 0.9× 154 1.5× 16 0.3× 63 2.2× 32 981
Marcin Witek United States 15 587 0.6× 582 0.6× 80 0.8× 36 0.6× 40 1.4× 29 690
Christian Barthlott Germany 22 1.1k 1.1× 1.1k 1.1× 237 2.3× 54 0.9× 32 1.1× 49 1.3k
Weiming Sha Japan 18 816 0.8× 720 0.7× 120 1.2× 31 0.5× 110 3.8× 31 931
Peter Bogenschutz United States 18 1.3k 1.3× 1.3k 1.3× 80 0.8× 28 0.5× 74 2.6× 39 1.4k

Countries citing papers authored by Adam Varble

Since Specialization
Citations

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

Fields of papers citing papers by Adam Varble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Varble

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Varble. A scholar is included among the top collaborators of Adam Varble 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 Adam Varble. Adam Varble 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.
Prein, Andreas F., Zhe Feng, Thomas Fiolleau, et al.. (2024). Km‐Scale Simulations of Mesoscale Convective Systems Over South America—A Feature Tracker Intercomparison. Journal of Geophysical Research Atmospheres. 129(8). 14 indexed citations
2.
Mülmenstädt, Johannes, Andrew S. Ackerman, Ann M. Fridlind, et al.. (2024). Can general circulation models (GCMs) represent cloud liquid water path adjustments to aerosol–cloud interactions?. Atmospheric chemistry and physics. 24(23). 13633–13652. 5 indexed citations
3.
Varble, Adam, et al.. (2024). Dependencies of Simulated Convective Cell and System Growth Biases on Atmospheric Instability and Model Resolution. Journal of Geophysical Research Atmospheres. 129(22). e2024JD041090–e2024JD041090. 2 indexed citations
4.
Varble, Adam, et al.. (2024). Evaluation of a Stochastic Mixing Scheme in the Deep Convective Gray Zone Using a Tropical Oceanic Deep Convection Case Study. Journal of Advances in Modeling Earth Systems. 16(1). 3 indexed citations
5.
Beall, Charlotte M., Po‐Lun Ma, Matthew W. Christensen, et al.. (2024). Droplet collection efficiencies inferred from satellite retrievals constrain effective radiative forcing of aerosol–cloud interactions. Atmospheric chemistry and physics. 24(9). 5287–5302. 2 indexed citations
6.
Fast, J. D., Adam Varble, Fan Mei, et al.. (2024). Large spatiotemporal variability in aerosol properties over central Argentina during the CACTI field campaign. Atmospheric chemistry and physics. 24(23). 13477–13502. 3 indexed citations
7.
Chen, Jingyi, Samson Hagos, Heng Xiao, et al.. (2023). The Effects of Shallow Cumulus Cloud Shape on Interactions Among Clouds and Mixing With Near‐Cloud Environments. Geophysical Research Letters. 50(24). 3 indexed citations
8.
Varble, Adam, Adele L. Igel, Hugh Morrison, Wojciech W. Grabowski, & Zachary J. Lebo. (2023). Opinion: A critical evaluation of the evidence for aerosol invigoration of deep convection. Atmospheric chemistry and physics. 23(21). 13791–13808. 15 indexed citations
9.
Saliba, Georges, David M. Bell, Kaitlyn J. Suski, et al.. (2023). Aircraft measurements of single particle size and composition reveal aerosol size and mixing state dictate their activation into cloud droplets. Environmental Science Atmospheres. 3(9). 1352–1364. 7 indexed citations
10.
Yang, Zhao, Adam Varble, Larry K. Berg, et al.. (2023). Sensitivity of Precipitation Displacement of a Simulated MCS to Changes in Land Surface Conditions. Journal of Geophysical Research Atmospheres. 128(10). 4 indexed citations
11.
Feng, Zhe, Joseph Hardin, Hannah C. Barnes, et al.. (2023). PyFLEXTRKR: a flexible feature tracking Python software for convective cloud analysis. Geoscientific model development. 16(10). 2753–2776. 44 indexed citations
12.
Gettelman, Andrew, Alan Geer, Richard Forbes, et al.. (2022). The future of Earth system prediction: Advances in model-data fusion. Science Advances. 8(14). eabn3488–eabn3488. 81 indexed citations
13.
Tang, Shuaiqi, Jerome D. Fast, Kai Zhang, et al.. (2022). Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 1: assessing E3SM aerosol predictions using aircraft, ship, and surface measurements. Geoscientific model development. 15(10). 4055–4076. 4 indexed citations
14.
15.
Hardin, Joseph, et al.. (2020). An extended radar relative calibration adjustment (eRCA) technique for higher-frequency radars and range–height indicator (RHI) scans. Atmospheric measurement techniques. 13(6). 3147–3166. 5 indexed citations
16.
Hardin, Joseph, Nitin Bharadwaj, Scott Giangrande, Adam Varble, & Zhe Feng. (2020). Taranis: A New Framework for Physically Constrained Radar Processing. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
17.
Han, Bin, Jiwen Fan, Adam Varble, et al.. (2019). Cloud‐Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties. Journal of Geophysical Research Atmospheres. 124(2). 1090–1117. 54 indexed citations
18.
Varble, Adam, Joseph Hardin, Nitin Bharadwaj, et al.. (2019). Sensitivity of deep convective upscale growth to precipitation properties and ambient environmental conditions during the CACTI field campaign. AGU Fall Meeting Abstracts. 2019. 1 indexed citations
19.
Fan, Jiwen, Bin Han, Adam Varble, et al.. (2017). Cloud‐resolving model intercomparison of an MC3E squall line case: Part I—Convective updrafts. Journal of Geophysical Research Atmospheres. 122(17). 9351–9378. 121 indexed citations
20.
Varble, Adam, J. W. Strapp, Delphine Leroy, et al.. (2017). A ubiquitous ice size bias in simulations of tropical deep convection. Atmospheric chemistry and physics. 17(15). 9599–9621. 28 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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