Mark Pinsky

6.6k total citations · 1 hit paper
107 papers, 5.0k citations indexed

About

Mark Pinsky is a scholar working on Global and Planetary Change, Earth-Surface Processes and Ocean Engineering. According to data from OpenAlex, Mark Pinsky has authored 107 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Global and Planetary Change, 55 papers in Earth-Surface Processes and 49 papers in Ocean Engineering. Recurrent topics in Mark Pinsky's work include Atmospheric aerosols and clouds (69 papers), Aeolian processes and effects (54 papers) and Particle Dynamics in Fluid Flows (49 papers). Mark Pinsky is often cited by papers focused on Atmospheric aerosols and clouds (69 papers), Aeolian processes and effects (54 papers) and Particle Dynamics in Fluid Flows (49 papers). Mark Pinsky collaborates with scholars based in Israel, United States and Canada. Mark Pinsky's co-authors include А. Хаин, David Avnir, A. Pokrovsky, M. Shapiro, Santiago Álvarez, Alexei Korolev, Miquel Llunell, Vaughan T. J. Phillips, Axel Seifert and Daniel Rosenfeld and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Fluid Mechanics.

In The Last Decade

Mark Pinsky

106 papers receiving 5.0k citations

Hit Papers

Continuous Symmetry Measu... 1998 2026 2007 2016 1998 200 400 600
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.

  1. Continuous Symmetry Measures. 5. The Classical Polyhedra
    1998 705 citations Mark Pinsky, David Avnir profile →

Author Peers

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

Author Last Decade Papers Cites
Mark Pinsky 2.9k 2.4k 1.4k 977 860 107 5.0k
Yangang Liu 4.9k 1.7× 4.7k 2.0× 961 0.7× 278 0.3× 367 0.4× 310 8.8k
S. Kida 453 0.2× 380 0.2× 49 0.0× 74 0.1× 350 0.4× 98 2.3k
Akira Kasahara 1.4k 0.5× 1.7k 0.7× 108 0.1× 14 0.0× 454 0.5× 273 4.1k
John H. Weare 304 0.1× 367 0.2× 97 0.1× 135 0.1× 1.3k 1.5× 99 6.5k
Hiroyuki Kagi 217 0.1× 311 0.1× 85 0.1× 59 0.1× 1.4k 1.6× 285 5.4k
Jeffrey I. Steinfeld 558 0.2× 1.7k 0.7× 28 0.0× 42 0.0× 937 1.1× 74 5.4k
G. Kitis 158 0.1× 880 0.4× 173 0.1× 50 0.1× 3.9k 4.6× 237 5.8k
Michael J. Taylor 456 0.2× 758 0.3× 33 0.0× 31 0.0× 516 0.6× 168 4.0k
Min Zhong 1.1k 0.4× 733 0.3× 19 0.0× 106 0.1× 385 0.4× 151 3.9k

Countries citing papers authored by Mark Pinsky

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Pinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Pinsky. A scholar is included among the top collaborators of Mark Pinsky 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 Mark Pinsky. Mark Pinsky 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.
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
2.
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
3.
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
4.
Хаин, А., Mark Pinsky, & Alexei Korolev. (2021). Combined Effect of the Wegener–Bergeron–Findeisen Mechanism and Large Eddies on Microphysics of Mixed-Phase Stratiform Clouds. Journal of the Atmospheric Sciences. 79(2). 383–407. 9 indexed citations
5.
6.
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
7.
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
8.
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
9.
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
10.
Korolev, Alexei, et al.. (2016). Theoretical study of mixing in liquid clouds – Part 1: Classical concepts. Atmospheric chemistry and physics. 16(14). 9235–9254. 39 indexed citations
11.
Pinsky, Mark, А. Хаин, & Alexei Korolev. (2016). Theoretical analysis of mixing in liquid clouds – Part 3: Inhomogeneousmixing. Atmospheric chemistry and physics. 16(14). 9273–9297. 40 indexed citations
12.
Pinsky, Mark, et al.. (2013). Effects of Turbulent Mixing on the Structure and Macroscopic Properties of Stratocumulus Clouds Demonstrated by a Lagrangian Trajectory Model. Journal of the Atmospheric Sciences. 71(5). 1843–1862. 20 indexed citations
13.
Pinsky, Mark, et al.. (2012). Continuous symmetry analyses: Cnv and Dn measures of molecules, complexes, and proteins. Journal of Computational Chemistry. 34(1). 2–9. 14 indexed citations
14.
Pinsky, Mark, et al.. (2009). A web site for calculating the degree of chirality. Chirality. 23(1). 17–23. 41 indexed citations
15.
Pinsky, Mark, Chaim Dryzun, David Casanova, Pere Alemany, & David Avnir. (2008). Analytical methods for calculating Continuous Symmetry Measures and the Chirality Measure. Journal of Computational Chemistry. 29(16). 2712–2721. 90 indexed citations
16.
Pinsky, Mark, David Casanova, Pere Alemany, et al.. (2007). Symmetry operation measures. Journal of Computational Chemistry. 29(2). 190–197. 54 indexed citations
17.
Pinsky, Mark. (2006). A novel trajectory ensemble model of stratiform cloud and its possible applications. 1 indexed citations
18.
Pinsky, Mark, et al.. (2004). Detecting birds and estimating their velocity vectors by means of MRL-5 meteorological radar. Ring. 26(2). 35–53. 5 indexed citations
19.
Pinsky, Mark, et al.. (2003). Statistical analysis of the estimation of distance measures. Journal of Computational Chemistry. 24(6). 786–796. 10 indexed citations
20.
Pinsky, Mark, Kenny B. Lipkowitz, & David Avnir. (2001). Continuous Symmetry Measures. VI. The Relations Between Polyhedral Point-Group/Subgroup Symmetries. Journal of Mathematical Chemistry. 30(1). 109–120. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yangang Liu Breakdown of academic impact, for papers by S. Kida Breakdown of academic impact, for papers by Akira Kasahara Breakdown of academic impact, for papers by John H. Weare Breakdown of academic impact, for papers by Hiroyuki Kagi Breakdown of academic impact, for papers by Jeffrey I. Steinfeld Breakdown of academic impact, for papers by G. Kitis Breakdown of academic impact, for papers by Michael J. Taylor Breakdown of academic impact, for papers by Min Zhong
Rankless by CCL
2026