J. Kazil

3.1k total citations
42 papers, 1.4k citations indexed

About

J. Kazil is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, J. Kazil has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 38 papers in Global and Planetary Change and 7 papers in Earth-Surface Processes. Recurrent topics in J. Kazil's work include Atmospheric chemistry and aerosols (36 papers), Atmospheric aerosols and clouds (35 papers) and Atmospheric Ozone and Climate (21 papers). J. Kazil is often cited by papers focused on Atmospheric chemistry and aerosols (36 papers), Atmospheric aerosols and clouds (35 papers) and Atmospheric Ozone and Climate (21 papers). J. Kazil collaborates with scholars based in United States, Germany and United Kingdom. J. Kazil's co-authors include Graham Feingold, Takanobu Yamaguchi, Edward R. Lovejoy, Kai Zhang, Ulrike Lohmann, Philip Stier, Hailong Wang, Johannes Quaas, Declan O’Donnell and Sylvaine Ferrachat and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Atmospheric chemistry and physics.

In The Last Decade

J. Kazil

41 papers receiving 1.4k citations

Peers

J. Kazil
J. Kazil
Citations per year, relative to J. Kazil J. Kazil (= 1×) peers Tatiana Di Iorio

Countries citing papers authored by J. Kazil

Since Specialization
Citations

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

Fields of papers citing papers by J. Kazil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kazil

This figure shows the co-authorship network connecting the top 25 collaborators of J. Kazil. A scholar is included among the top collaborators of J. Kazil 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 J. Kazil. J. Kazil 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.
Prabhakaran, Prasanth, et al.. (2025). Magnitude and timescale of liquid water path adjustments to cloud droplet number concentration perturbations for nocturnal non-precipitating marine stratocumulus. Atmospheric chemistry and physics. 25(12). 6141–6159. 1 indexed citations
2.
Brasseur, Guy, M. C. Barth, J. Kazil, Edward G. Patton, & Yuting Wang. (2023). Segregation of Fast-Reactive Species in Atmospheric Turbulent Flow. Atmosphere. 14(7). 1136–1136. 2 indexed citations
3.
Schmidt, K. Sebastian, Hong Chen, Takanobu Yamaguchi, et al.. (2022). Segmentation-based multi-pixel cloud optical thickness retrieval using a convolutional neural network. Atmospheric measurement techniques. 15(17). 5181–5205. 10 indexed citations
4.
Goren, Tom, Graham Feingold, Edward Gryspeerdt, et al.. (2022). Projecting Stratocumulus Transitions on the Albedo—Cloud Fraction Relationship Reveals Linearity of Albedo to Droplet Concentrations. Geophysical Research Letters. 49(20). 12 indexed citations
5.
Diamond, Michael, Pablo E. Saide, Paquita Zuidema, et al.. (2022). Cloud adjustments from large-scale smoke–circulation interactions strongly modulate the southeastern Atlantic stratocumulus-to-cumulus transition. Atmospheric chemistry and physics. 22(18). 12113–12151. 16 indexed citations
6.
Kazil, J., et al.. (2021). From Sugar to Flowers: A Transition of Shallow Cumulus Organization During ATOMIC. Journal of Advances in Modeling Earth Systems. 13(10). 33 indexed citations
7.
Williamson, Christina, Agnieszka Kupc, Andrew W. Rollins, et al.. (2021). Large hemispheric difference in nucleation mode aerosol concentrations in the lowermost stratosphere at mid- and high latitudes. Atmospheric chemistry and physics. 21(11). 9065–9088. 13 indexed citations
8.
Kupc, Agnieszka, Christina Williamson, Anna L. Hodshire, et al.. (2020). The potential role of organics in new particle formation and initial growth in the remote tropical upper troposphere. Atmospheric chemistry and physics. 20(23). 15037–15060. 17 indexed citations
9.
Feingold, Graham, et al.. (2017). Analysis of albedo versus cloud fraction relationships in liquid water clouds using heuristic models and large eddy simulation. Journal of Geophysical Research Atmospheres. 122(13). 7086–7102. 16 indexed citations
10.
Feingold, Graham, Ilan Koren, Takanobu Yamaguchi, & J. Kazil. (2015). On the reversibility of transitions between closed and open cellular convection. Atmospheric chemistry and physics. 15(13). 7351–7367. 51 indexed citations
11.
Kazil, J., Graham Feingold, Hailong Wang, & Takanobu Yamaguchi. (2014). On the interaction between marine boundary layer cellular cloudiness and surface heat fluxes. Atmospheric chemistry and physics. 14(1). 61–79. 22 indexed citations
12.
Grell, Georg, Steven E. Peckham, Jerome D. Fast, et al.. (2013). WRF-Chem V3.5: A summary of status and updates. EGUGA. 1 indexed citations
13.
Wan, Hui, Philip J. Rasch, Kai Zhang, J. Kazil, & L. Ruby Leung. (2013). Numerical issues associated with compensating and competing processes in climate models: an example from ECHAM-HAM. Geoscientific model development. 6(3). 861–874. 19 indexed citations
14.
Kazil, J., S. A. McKeen, Ravan Ahmadov, et al.. (2011). WRF/Chem study of dry and wet deposition of trifluoroacetic acid produced from the atmospheric degradation of a few short-lived HFCs. AGU Fall Meeting Abstracts. 2011. 5 indexed citations
15.
Zhang, Kai, J. Feichter, J. Kazil, et al.. (2011). Radon activity in the lower troposphere and its impact on ionization rate: a global estimate using different radon emissions. Atmospheric chemistry and physics. 11(15). 7817–7838. 54 indexed citations
16.
Kazil, J., Hailong Wang, Graham Feingold, et al.. (2011). Modeling chemical and aerosol processes in the transition from closed to open cells during VOCALS-REx. Atmospheric chemistry and physics. 11(15). 7491–7514. 62 indexed citations
17.
Wang, Hailong, Graham Feingold, Robert Wood, & J. Kazil. (2010). Modelling microphysical and meteorological controls on precipitation and cloud cellular structures in Southeast Pacific stratocumulus. Atmospheric chemistry and physics. 10(13). 6347–6362. 75 indexed citations
18.
Hommel, R., Harri Kokkola, J. Kazil, et al.. (2009). Intercomparison of aerosol microphysics modules in the framework of the ECHAM5 climate model. EGUGA. 4834. 1 indexed citations
19.
Kokkola, Harri, R. Hommel, J. Kazil, et al.. (2009). Aerosol microphysics modules in the framework of the ECHAM5 climate model – intercomparison under stratospheric conditions. Geoscientific model development. 2(2). 97–112. 46 indexed citations
20.
Kazil, J., Edward R. Lovejoy, M. C. Barth, & K. O’Brien. (2006). Aerosol nucleation over oceans and the role of galactic cosmic rays. Atmospheric chemistry and physics. 6(12). 4905–4924. 58 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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