L.G. Margolin

4.4k total citations · 1 hit paper
81 papers, 3.4k citations indexed

About

L.G. Margolin is a scholar working on Computational Mechanics, Atmospheric Science and Mechanics of Materials. According to data from OpenAlex, L.G. Margolin has authored 81 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computational Mechanics, 23 papers in Atmospheric Science and 10 papers in Mechanics of Materials. Recurrent topics in L.G. Margolin's work include Computational Fluid Dynamics and Aerodynamics (42 papers), Fluid Dynamics and Turbulent Flows (34 papers) and Meteorological Phenomena and Simulations (21 papers). L.G. Margolin is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (42 papers), Fluid Dynamics and Turbulent Flows (34 papers) and Meteorological Phenomena and Simulations (21 papers). L.G. Margolin collaborates with scholars based in United States, Israel and United Kingdom. L.G. Margolin's co-authors include Piotr K. Smolarkiewicz, William J. Rider, Fernando F. Grinstein, Mikhail Shashkov, Andrzej Wyszogrodzki, Zbigniew Sorbjan, Patrick Knupp, Jon Reisner, Shiyi Chen and Darryl D. Holm and has published in prestigious journals such as Journal of Computational Physics, Journal of the Atmospheric Sciences and Monthly Weather Review.

In The Last Decade

L.G. Margolin

80 papers receiving 3.2k citations

Hit Papers

Implicit Large Eddy Simulation 2007 2026 2013 2019 2007 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.G. Margolin United States 29 2.1k 850 456 445 357 81 3.4k
Rupert Klein Germany 30 2.3k 1.1× 1.2k 1.4× 402 0.9× 658 1.5× 221 0.6× 167 3.8k
T. S. Lundgren United States 36 3.2k 1.5× 336 0.4× 369 0.8× 252 0.6× 590 1.7× 79 5.1k
D. I. Pullin United States 42 4.5k 2.1× 502 0.6× 1.2k 2.7× 229 0.5× 793 2.2× 176 5.4k
Joseph Oliger United States 18 2.1k 1.0× 522 0.6× 295 0.6× 156 0.4× 163 0.5× 31 3.5k
Oleg V. Vasilyev United States 28 3.2k 1.5× 603 0.7× 710 1.6× 129 0.3× 990 2.8× 110 4.1k
C. E. Grosch United States 29 1.7k 0.8× 551 0.6× 505 1.1× 272 0.6× 229 0.6× 93 2.7k
Steven T. Zalesak United States 6 1.2k 0.6× 377 0.4× 145 0.3× 255 0.6× 107 0.3× 8 2.2k
Paolo Orlandi Italy 39 5.8k 2.7× 538 0.6× 1.1k 2.4× 816 1.8× 1.3k 3.7× 148 6.7k
P. A. Davidson United Kingdom 26 1.8k 0.8× 408 0.5× 334 0.7× 310 0.7× 475 1.3× 83 3.1k
G. F. Carrier United States 27 961 0.4× 552 0.6× 331 0.7× 244 0.5× 114 0.3× 84 3.3k

Countries citing papers authored by L.G. Margolin

Since Specialization
Citations

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

Fields of papers citing papers by L.G. Margolin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.G. Margolin. 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 L.G. Margolin. The network helps show where L.G. Margolin may publish in the future.

Co-authorship network of co-authors of L.G. Margolin

This figure shows the co-authorship network connecting the top 25 collaborators of L.G. Margolin. A scholar is included among the top collaborators of L.G. Margolin 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 L.G. Margolin. L.G. Margolin 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.
Margolin, L.G., et al.. (2024). Richtmyer on Shocks: “Proposed Numerical Method for Calculation of Shocks,” an Annotation of LA-671. Fusion Science & Technology. 80(sup1). 3 indexed citations
2.
Margolin, L.G., et al.. (2024). A modern concept of Lagrangian hydrodynamics. Studies in Applied Mathematics. 153(4).
3.
Becker, Saul, et al.. (2019). Impact Hazard Mitigation of a Highly Porous Contact Binary Asteroid. AGU Fall Meeting Abstracts. 2019(2326). 2244. 1 indexed citations
4.
Margolin, L.G., et al.. (2019). A finite scale model for shock structure. Physica D Nonlinear Phenomena. 403. 132308–132308. 9 indexed citations
5.
Margolin, L.G.. (2018). Scale matters. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 376(2118). 20170235–20170235. 4 indexed citations
6.
Margolin, L.G., et al.. (2018). Modern infinitesimals and the entropy jump across an inviscid shock wave. International Journal of Aeroacoustics. 17(4-5). 502–520. 1 indexed citations
7.
Margolin, L.G., et al.. (2012). Traveling wave solutions for finite scale equations. Mechanics Research Communications. 45. 64–69. 12 indexed citations
8.
Margolin, L.G. & Mikhail Shashkov. (2007). Finite volume methods and the equations of finite scale: A mimetic approach. International Journal for Numerical Methods in Fluids. 56(8). 991–1002. 14 indexed citations
9.
Drikakis, Dimitris, L.G. Margolin, & Piotr K. Smolarkiewicz. (2002). On ‘spurious’ eddies. International Journal for Numerical Methods in Fluids. 40(1-2). 313–322. 9 indexed citations
10.
Smolarkiewicz, Piotr K., L.G. Margolin, & Andrzej Wyszogrodzki. (2001). A Class of Nonhydrostatic Global Models. Journal of the Atmospheric Sciences. 58(4). 349–364. 86 indexed citations
11.
Margolin, L.G. & Mikhail Shashkov. (1999). Using a Curvilinear Grid to Construct Symmetry-Preserving Discretizations for Lagrangian Gas Dynamics. Journal of Computational Physics. 149(2). 389–417. 35 indexed citations
12.
Smolarkiewicz, Piotr K. & L.G. Margolin. (1998). MPDATA: A Finite-Difference Solver for Geophysical Flows. Journal of Computational Physics. 140(2). 459–480. 323 indexed citations
13.
Smolarkiewicz, Piotr K., Vanda Grubı̆sı́c, L.G. Margolin, & Andrzej Wyszogrodzki. (1998). Forward-in-time differencing for fluids: Nonhydrostatic modeling of fluid motions on a sphere. University of North Texas Digital Library (University of North Texas). 9 indexed citations
14.
Jones, Don A., Andrew C. Poje, & L.G. Margolin. (1997). Resolution Effects and Enslaved Finite-Difference Schemes for a Double Gyre, Shallow-Water Model. Theoretical and Computational Fluid Dynamics. 9(3-4). 269–280. 11 indexed citations
15.
Poje, Andrew C., Don A. Jones, & L.G. Margolin. (1996). Enslaved finite difference approximations for quasigeostrophic shallow flows. Physica D Nonlinear Phenomena. 98(2-4). 559–573. 12 indexed citations
16.
Liška, Richard, L.G. Margolin, & Burton Wendroff. (1995). Nonhydrostatic two-layer models of incompressible flow. Computers & Mathematics with Applications. 29(9). 25–37. 29 indexed citations
17.
Margolin, L.G., et al.. (1995). Numerical validation of a constitutive theory for an arbitrarily fractured solid. Engineering Computations. 12(2). 125–134. 3 indexed citations
18.
Margolin, L.G., et al.. (1986). A diffusion operator for Lagrangian meshes. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
19.
Margolin, L.G.. (1984). Microphysical models for inelastic material response. International Journal of Engineering Science. 22(8-10). 1171–1179. 16 indexed citations
20.
Margolin, L.G.. (1982). Calculations of cratering experiments with the bedded crack model. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 465–469. 1 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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