Mark Mineev-Weinstein

1.7k total citations
30 papers, 544 citations indexed

About

Mark Mineev-Weinstein is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Mark Mineev-Weinstein has authored 30 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Condensed Matter Physics, 12 papers in Mathematical Physics and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Mark Mineev-Weinstein's work include Theoretical and Computational Physics (18 papers), Stochastic processes and statistical mechanics (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Mark Mineev-Weinstein is often cited by papers focused on Theoretical and Computational Physics (18 papers), Stochastic processes and statistical mechanics (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Mark Mineev-Weinstein collaborates with scholars based in United States, Brazil and Russia. Mark Mineev-Weinstein's co-authors include A. Zabrodin, P. Wiegmann, Silvina Ponce Dawson, I. M. Krichever, Anthony B. Davis, Mihai Putinar, Harry L. Swinney, Ar. Abanov, Dmitry Khavinson and David Sigeti and has published in prestigious journals such as Physical Review Letters, Physica D Nonlinear Phenomena and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Mark Mineev-Weinstein

28 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Mineev-Weinstein United States 12 209 209 127 122 116 30 544
Я.Г. Синай 9 142 0.7× 322 1.5× 267 2.1× 74 0.6× 165 1.4× 17 796
Giorgio Mantica Italy 16 110 0.5× 478 2.3× 277 2.2× 25 0.2× 34 0.3× 58 846
Roberto Artuso Italy 18 324 1.6× 1.1k 5.2× 378 3.0× 27 0.2× 51 0.4× 58 1.4k
Sergey V. Meleshko Thailand 17 28 0.1× 733 3.5× 167 1.3× 160 1.3× 239 2.1× 139 1.3k
Valter Franceschini Italy 13 26 0.1× 433 2.1× 64 0.5× 41 0.3× 151 1.3× 22 614
C. J. Howls United Kingdom 13 34 0.2× 242 1.2× 52 0.4× 50 0.4× 43 0.4× 24 551
James Montaldi United Kingdom 14 13 0.1× 342 1.6× 106 0.8× 245 2.0× 80 0.7× 50 681
Alexander I. Saichev Switzerland 8 62 0.3× 351 1.7× 84 0.7× 7 0.1× 15 0.1× 20 889
Tomasz Komorowski Poland 15 78 0.4× 99 0.5× 348 2.7× 5 0.0× 72 0.6× 88 620
D. Roekaerts Belgium 11 62 0.3× 368 1.8× 62 0.5× 15 0.1× 16 0.1× 35 617

Countries citing papers authored by Mark Mineev-Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by Mark Mineev-Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Mineev-Weinstein

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Mineev-Weinstein. A scholar is included among the top collaborators of Mark Mineev-Weinstein 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 Mineev-Weinstein. Mark Mineev-Weinstein 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.
Mineev-Weinstein, Mark. (2024). WHITHAM-TODA HIERARCHY IN THE LAPLACIAN GROWTH PROBLEM. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
2.
Mineev-Weinstein, Mark, et al.. (2017). Statistical mechanics of stochastic growth phenomena. Physical review. E. 96(1). 10103–10103. 3 indexed citations
3.
Cohen, Y., et al.. (2017). A free-boundary model of diffusive valley growth: theory and observation. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 473(2202). 20170159–20170159. 3 indexed citations
4.
Mineev-Weinstein, Mark, et al.. (2016). Stochastic Laplacian growth. Physical review. E. 94(6). 60103–60103. 3 indexed citations
5.
Mineev-Weinstein, Mark, et al.. (2010). Harmonic moment dynamics in Laplacian growth. Physical Review E. 81(1). 16206–16206. 26 indexed citations
6.
Khavinson, Dmitry, et al.. (2010). Lemniscates do not survive Laplacian growth. Mathematical Research Letters. 17(2). 335–341. 4 indexed citations
7.
Davis, Anthony B. & Mark Mineev-Weinstein. (2010). Radiation propagation in random media: From positive to negative correlations in high-frequency fluctuations. Journal of Quantitative Spectroscopy and Radiative Transfer. 112(4). 632–645. 26 indexed citations
8.
Abanov, Ar., Mark Mineev-Weinstein, & A. Zabrodin. (2009). Multi-cut solutions of Laplacian growth. Physica D Nonlinear Phenomena. 238(17). 1787–1796. 9 indexed citations
9.
Davis, Anthony B. & Mark Mineev-Weinstein. (2008). Radiation transport through random media represented as measurable functions: positive versus negative spatial correlations. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
10.
Mineev-Weinstein, Mark, et al.. (2008). Random Matrices in 2D, Laplacian Growth and Operator Theory. 16 indexed citations
11.
Abanov, Ar., Mark Mineev-Weinstein, & A. Zabrodin. (2007). Self-similarity in Laplacian Growth. Physica D Nonlinear Phenomena. 235(1-2). 62–71. 9 indexed citations
12.
Ristroph, Leif, et al.. (2006). Fjords in viscous fingering: Selection of width and opening angle. Physical Review E. 74(1). 15201–15201. 17 indexed citations
13.
Frisch, U. & Mark Mineev-Weinstein. (2003). Extension of the pole decomposition for the multidimensional Burgers equation. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(6). 67301–67301. 3 indexed citations
14.
Kostov, Ivan, I. M. Krichever, Mark Mineev-Weinstein, P. Wiegmann, & A. Zabrodin. (2000). $\tau$-function for analytic curves. ArXiv.org. 285–299. 7 indexed citations
15.
Mineev-Weinstein, Mark. (1998). Mineev-Weinstein Replies:. Physical Review Letters. 81(20). 4529–4529. 4 indexed citations
16.
Dawson, Silvina Ponce & Mark Mineev-Weinstein. (1998). Dynamics of closed interfaces in two-dimensional Laplacian growth. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 57(3). 3063–3072. 11 indexed citations
17.
Mineev-Weinstein, Mark. (1998). Selection of the Saffman-Taylor Finger Width in the Absence of Surface Tension: An Exact Result. Physical Review Letters. 80(10). 2113–2116. 44 indexed citations
18.
Dawson, Silvina Ponce & Mark Mineev-Weinstein. (1994). Long-time behavior of the N-finger solution of the Laplacian growth equation. Physica D Nonlinear Phenomena. 73(4). 373–387. 25 indexed citations
19.
Mineev-Weinstein, Mark & Ronnie Mainieri. (1994). Observation of conservations laws in diffusion limited aggregation. Physical Review Letters. 72(6). 880–883. 8 indexed citations
20.
Mineev-Weinstein, Mark. (1993). Multidimensional pattern formation has an infinite number of constants of motion. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 47(4). R2241–R2244. 5 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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