А. Хаин

13.0k total citations · 1 hit paper
190 papers, 9.1k citations indexed

About

А. Хаин is a scholar working on Global and Planetary Change, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, А. Хаин has authored 190 papers receiving a total of 9.1k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Global and Planetary Change, 127 papers in Atmospheric Science and 80 papers in Earth-Surface Processes. Recurrent topics in А. Хаин's work include Atmospheric aerosols and clouds (140 papers), Meteorological Phenomena and Simulations (82 papers) and Aeolian processes and effects (78 papers). А. Хаин is often cited by papers focused on Atmospheric aerosols and clouds (140 papers), Meteorological Phenomena and Simulations (82 papers) and Aeolian processes and effects (78 papers). А. Хаин collaborates with scholars based in Israel, United States and Canada. А. Хаин's co-authors include Mark Pinsky, A. Pokrovsky, Daniel Rosenfeld, Barry Lynn, Vaughan T. J. Phillips, Nir Benmoshe, M. Shapiro, Axel Seifert, Igor Sednev and Alexander V. Ryzhkov and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Fluid Mechanics.

In The Last Decade

А. Хаин

187 papers receiving 9.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aerosol impact on the dynamics and microphysics of deep convective clouds

2005 531 citations А. Хаин, Daniel Rosenfeld et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
А. Хаин	7.9k	7.5k	2.1k	1.1k	519	190	9.1k
Andrew S. Ackerman	6.5k 0.8×	6.6k 0.9×	1.1k 0.5×	118 0.1×	440 0.8×	145	7.7k
Hugh Morrison	12.1k 1.5×	12.8k 1.7×	888 0.4×	147 0.1×	831 1.6×	211	13.5k
Alexei Korolev	6.0k 0.8×	5.9k 0.8×	1.2k 0.6×	350 0.3×	225 0.4×	136	6.8k
Alan Blyth	3.2k 0.4×	2.9k 0.4×	632 0.3×	259 0.2×	335 0.6×	117	3.6k
Terry L. Clark	2.8k 0.3×	3.5k 0.5×	560 0.3×	148 0.1×	856 1.6×	88	4.5k
Paul R. Field	8.0k 1.0×	8.5k 1.1×	849 0.4×	113 0.1×	607 1.2×	155	9.5k
Manfred Wendisch	5.6k 0.7×	5.5k 0.7×	814 0.4×	201 0.2×	297 0.6×	262	6.3k
A. Pier Siebesma	5.3k 0.7×	5.5k 0.7×	647 0.3×	110 0.1×	1.2k 2.3×	104	6.2k
Chin‐Hoh Moeng	5.6k 0.7×	6.9k 0.9×	1.1k 0.5×	308 0.3×	3.8k 7.4×	84	9.4k
George A. Isaac	4.3k 0.5×	4.6k 0.6×	705 0.3×	147 0.1×	304 0.6×	158	5.2k

Countries citing papers authored by А. Хаин

Since Specialization

Citations

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

Fields of papers citing papers by А. Хаин

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of А. Хаин

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

All Works

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20 of 20 papers shown

Fan, Jiwen, Yuwei Zhang, Zhanqing Li, et al.. (2025). Unveiling Aerosol Impacts on Deep Convective Clouds: Scientific Concept, Modeling, Observational Analysis, and Future Direction. Journal of Geophysical Research Atmospheres. 130(15). 1 indexed citations

Arieli, Y., et al.. (2024). The Role of the Toroidal Vortex in Cumulus Clouds' Entrainment and Mixing. Journal of Geophysical Research Atmospheres. 129(14). 3 indexed citations

Arieli, Y., et al.. (2024). Distinct Mixing Regimes in Shallow Cumulus Clouds. Geophysical Research Letters. 51(2). 4 indexed citations

Хаин, А., et al.. (2023). Aerosol Indirect Effects on Water Vapor in the UTLS of Typhoon Saomai (2006). Journal of Geophysical Research Atmospheres. 128(11).

Хаин, А., et al.. (2021). Shallow Cumulus Properties as Captured by Adiabatic Fraction in High-Resolution LES Simulations. Journal of the Atmospheric Sciences. 79(2). 409–428. 20 indexed citations

Koren, Ilan, et al.. (2021). Revisiting adiabatic fraction estimations in cumulus clouds: high-resolution simulations with a passive tracer. Atmospheric chemistry and physics. 21(21). 16203–16217. 17 indexed citations

Lynn, Barry, Yoav Yair, Jacob Shpund, et al.. (2020). Using Factor Separation to Elucidate the Respective Contributions of Desert Dust and Urban Pollution to the 4 January 2020 Tel Aviv Lightning and Flash Flood Disaster. Journal of Geophysical Research Atmospheres. 125(24). 11 indexed citations

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

Хаин, А., et al.. (2019). Microphysical structure of non-precipitating warm cumulus: adiabatic processes vs entrainment and mixing. AGU Fall Meeting Abstracts. 2019. 1 indexed citations

10.

Pinsky, Mark & А. Хаин. (2018). Theoretical analysis of mixing in liquid clouds – Part IV: DSD evolution and mixing diagrams. Atmospheric chemistry and physics. 18(5). 3659–3676. 13 indexed citations

11.

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

12.

Pinsky, Mark, et al.. (2016). Theoretical investigation of mixing in warm clouds – Part 2: Homogeneousmixing. Atmospheric chemistry and physics. 16(14). 9255–9272. 35 indexed citations

13.

Pinsky, Mark, et al.. (2016). Drizzle formation in stratocumulus clouds: effects of turbulent mixing. Atmospheric chemistry and physics. 16(3). 1849–1862. 29 indexed citations

14.

Rosenfeld, Daniel & А. Хаин. (2009). Can aerosol-induced slowing of rain formation weaken hurricanes?. GeCAS. 73. 1 indexed citations

15.

Tao, W., et al.. (2008). The role of atmospheric aerosol concentration on deep convective precipitation: Cloud- resolving model simulations. NASA STI Repository (National Aeronautics and Space Administration). 2008. 42 indexed citations

16.

Хаин, А.. (2006). Aerosol effects on microphysics and precipitation: classification of numerical results. AGUFM. 2006. 2 indexed citations

17.

Хаин, А.. (2006). Critical analysis of results concerning droplet collisions in turbulent clouds. 1 indexed citations

18.

Li, Xiaowen, Wei‐Kuo Tao, А. Хаин, & Joanne Simpson. (2004). Sensitivity of a Cloud-Resolving Model to the Bulk and Explicit Bin Microphysical Schemes. Journal of the Atmospheric Sciences. 2004(1). 15 indexed citations

19.

Givati, Amir, et al.. (2003). Urban Aerosol-Induced Changes of Precipitation. AGU Fall Meeting Abstracts. 2003. 1 indexed citations

20.

Хаин, А., et al.. (2003). Simulations of aerosol effects on convective clouds developed under continental and maritime conditions. EGS - AGU - EUG Joint Assembly. 3180. 11 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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