Vladimir V. Mangazeev

814 total citations
38 papers, 402 citations indexed

About

Vladimir V. Mangazeev is a scholar working on Geometry and Topology, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Vladimir V. Mangazeev has authored 38 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Geometry and Topology, 16 papers in Statistical and Nonlinear Physics and 10 papers in Statistics and Probability. Recurrent topics in Vladimir V. Mangazeev's work include Algebraic structures and combinatorial models (23 papers), Nonlinear Waves and Solitons (14 papers) and Random Matrices and Applications (10 papers). Vladimir V. Mangazeev is often cited by papers focused on Algebraic structures and combinatorial models (23 papers), Nonlinear Waves and Solitons (14 papers) and Random Matrices and Applications (10 papers). Vladimir V. Mangazeev collaborates with scholars based in Australia, Russia and China. Vladimir V. Mangazeev's co-authors include Vladimir V. Bazhanov, Rinat Kashaev, Yu. G. Stroganov, С. М. Сергеев, Murray T. Batchelor, H. Boos, Atsuo Kuniba, Masato Okado, Tomoki Nakanishi and Peter J. Forrester and has published in prestigious journals such as Nuclear Physics B, Communications in Mathematical Physics and Physics Letters A.

In The Last Decade

Vladimir V. Mangazeev

36 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir V. Mangazeev Australia 12 283 216 104 93 82 38 402
Nicolas Crampé France 11 220 0.8× 184 0.9× 98 0.9× 112 1.2× 129 1.6× 58 414
Pavel Pyatov Russia 11 209 0.7× 150 0.7× 139 1.3× 92 1.0× 51 0.6× 29 296
A. V. Razumov Russia 14 404 1.4× 306 1.4× 193 1.9× 67 0.7× 110 1.3× 60 605
Omar Foda Australia 12 253 0.9× 113 0.5× 80 0.8× 85 0.9× 81 1.0× 43 396
Kei Miki Japan 13 480 1.7× 299 1.4× 232 2.2× 104 1.1× 100 1.2× 23 570
Roger E. Behrend United Kingdom 10 378 1.3× 209 1.0× 92 0.9× 87 0.9× 82 1.0× 20 497
R. Chakrabarti India 9 268 0.9× 218 1.0× 154 1.5× 51 0.5× 151 1.8× 42 485
A. P. Isaev Russia 14 368 1.3× 266 1.2× 279 2.7× 140 1.5× 49 0.6× 71 603
M. Arık Türkiye 4 283 1.0× 284 1.3× 108 1.0× 50 0.5× 287 3.5× 9 512
Atsushi Nakayashiki Japan 13 656 2.3× 402 1.9× 273 2.6× 166 1.8× 129 1.6× 26 745

Countries citing papers authored by Vladimir V. Mangazeev

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir V. Mangazeev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir V. Mangazeev. 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 Vladimir V. Mangazeev. The network helps show where Vladimir V. Mangazeev may publish in the future.

Co-authorship network of co-authors of Vladimir V. Mangazeev

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir V. Mangazeev. A scholar is included among the top collaborators of Vladimir V. Mangazeev 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 Vladimir V. Mangazeev. Vladimir V. Mangazeev 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.
Li, Hui, et al.. (2023). PT-symmetric quantum Rabi model. Physical review. A. 108(5). 8 indexed citations
2.
Mangazeev, Vladimir V., et al.. (2023). Corner transfer matrix approach to the Yang-Lee singularity in the two-dimensional Ising model in a magnetic field. Physical review. E. 108(6). 64136–64136. 2 indexed citations
3.
Mangazeev, Vladimir V., et al.. (2021). Hidden symmetry operators for asymmetric generalized quantum Rabi models. Chinese Physics B. 31(1). 14210–14210. 7 indexed citations
4.
Mangazeev, Vladimir V., Murray T. Batchelor, & Vladimir V. Bazhanov. (2021). The hidden symmetry of the asymmetric quantum Rabi model. Journal of Physics A Mathematical and Theoretical. 54(12). 12LT01–12LT01. 27 indexed citations
5.
Mangazeev, Vladimir V. & Peter J. Forrester. (2018). Integrable structure of products of finite complex Ginibre random matrices. Physica D Nonlinear Phenomena. 384-385. 39–63. 3 indexed citations
6.
Kuniba, Atsuo & Vladimir V. Mangazeev. (2017). Density and current profiles in Uq(A2(1)) zero range process. Nuclear Physics B. 922. 148–185. 1 indexed citations
7.
Kuniba, Atsuo, et al.. (2016). Stochastic R matrix for Uq(An(1)). Nuclear Physics B. 913. 248–277. 21 indexed citations
8.
Mangazeev, Vladimir V.. (2014). On the Yang–Baxter equation for the six-vertex model. Nuclear Physics B. 882. 70–96. 22 indexed citations
9.
Mangazeev, Vladimir V., Vladimir V. Bazhanov, & С. М. Сергеев. (2013). An integrable 3D lattice model with positive Boltzmann weights. Journal of Physics A Mathematical and Theoretical. 46(46). 465206–465206. 9 indexed citations
10.
Mangazeev, Vladimir V., et al.. (2010). Scaling and universality in the two-dimensional Ising model with a magnetic field. Physical Review E. 81(6). 60103–60103. 8 indexed citations
11.
Mangazeev, Vladimir V. & A J Guttmann. (2010). Form factor expansions in the 2D Ising model and Painlevé VI. Nuclear Physics B. 838(3). 391–412. 3 indexed citations
12.
Mangazeev, Vladimir V. & Vladimir V. Bazhanov. (2010). The eight-vertex model and Painlevé VI equation II: eigenvector results. Journal of Physics A Mathematical and Theoretical. 43(8). 85206–85206. 13 indexed citations
13.
Mangazeev, Vladimir V., et al.. (2008). Variational approach to the scaling function of the 2D Ising model in a magnetic field. Journal of Physics A Mathematical and Theoretical. 42(4). 42005–42005. 10 indexed citations
14.
Кузнецов, В. Б., Vladimir V. Mangazeev, & E. K. Sklyanin. (2003). Q-operator and factorised separation chain for Jack's symmetric polynomials. arXiv (Cornell University). 6 indexed citations
15.
Mangazeev, Vladimir V. & С. М. Сергеев. (2001). Continuum Limit of the Triple Tau-Function Model. Theoretical and Mathematical Physics. 129(2). 1573–1580. 1 indexed citations
16.
Boos, H. & Vladimir V. Mangazeev. (1999). Functional relations and nested Bethe ansatz forsl(3) chiral Potts model at. Journal of Physics A Mathematical and General. 32(16). 3041–3054. 2 indexed citations
17.
Mangazeev, Vladimir V. & Yu. G. Stroganov. (1993). ELLIPTIC SOLUTION FOR MODIFIED TETRAHEDRON EQUATIONS. Modern Physics Letters A. 8(36). 3475–3482. 11 indexed citations
18.
Kashaev, Rinat, Vladimir V. Mangazeev, & Yu. G. Stroganov. (1992). N3-STATE R-MATRIX RELATED WITH Uq(sl(3)) ALGEBRA AT q2N=1. International Journal of Modern Physics A. 7(supp01a). 485–492. 1 indexed citations
19.
Kashaev, Rinat & Vladimir V. Mangazeev. (1992). Nn(n–1)/2-STATE INTERTWINER RELATED TO Uq(sl(n)) ALGEBRA AT q2N=1. Modern Physics Letters A. 7(30). 2827–2835. 1 indexed citations
20.
Bazhanov, Vladimir V., Rinat Kashaev, Vladimir V. Mangazeev, & Yu. G. Stroganov. (1991). (Z N×) n−1 generalization of the chiral Potts model. Communications in Mathematical Physics. 138(2). 393–408. 59 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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