V. P. Shutyaev

1.3k total citations
99 papers, 761 citations indexed

About

V. P. Shutyaev is a scholar working on Atmospheric Science, Oceanography and Modeling and Simulation. According to data from OpenAlex, V. P. Shutyaev has authored 99 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Atmospheric Science, 29 papers in Oceanography and 24 papers in Modeling and Simulation. Recurrent topics in V. P. Shutyaev's work include Meteorological Phenomena and Simulations (37 papers), Arctic and Antarctic ice dynamics (25 papers) and Mathematical Biology Tumor Growth (23 papers). V. P. Shutyaev is often cited by papers focused on Meteorological Phenomena and Simulations (37 papers), Arctic and Antarctic ice dynamics (25 papers) and Mathematical Biology Tumor Growth (23 papers). V. P. Shutyaev collaborates with scholars based in Russia, France and United Kingdom. V. P. Shutyaev's co-authors include Igor Gejadze, François‐Xavier Le Dimet, E. I. Parmuzin, V. I. Agoshkov, G. I. Marchuk, François-Xavier Le Dimet, Richard Swinbank, W. A. Lahoz, G. J. M. Copeland and V. B. Zalesny and has published in prestigious journals such as Journal of Computational Physics, Journal of Hydrology and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

V. P. Shutyaev

88 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. P. Shutyaev Russia	15	409	248	232	133	108	99	761
V. I. Agoshkov Russia	15	294 0.7×	292 1.2×	127 0.5×	146 1.1×	179 1.7×	83	698
François‐Xavier Le Dimet France	20	575 1.4×	184 0.7×	435 1.9×	34 0.3×	345 3.2×	57	1.2k
François-Xavier Le Dimet France	8	1.1k 2.7×	411 1.7×	854 3.7×	39 0.3×	255 2.4×	24	1.6k
Igor Gejadze France	13	209 0.5×	73 0.3×	290 1.3×	32 0.2×	75 0.7×	43	532
Daniel Y. Le Roux Canada	16	286 0.7×	265 1.1×	53 0.2×	119 0.9×	386 3.6×	41	953
Emmanuel Audusse France	14	413 1.0×	142 0.6×	138 0.6×	217 1.6×	1.1k 9.8×	29	1.5k
Amos S. Lawless United Kingdom	20	586 1.4×	126 0.5×	532 2.3×	11 0.1×	66 0.6×	49	902
Б. Н. Четверушкин Russia	16	95 0.2×	266 1.1×	25 0.1×	552 4.2×	289 2.7×	157	998
G. A. Athanassoulis Greece	21	325 0.8×	731 2.9×	78 0.3×	573 4.3×	187 1.7×	92	1.3k
D.J. McLaughlin United States	14	172 0.4×	196 0.8×	39 0.2×	93 0.7×	23 0.2×	51	732

Countries citing papers authored by V. P. Shutyaev

Since Specialization

Citations

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

Fields of papers citing papers by V. P. Shutyaev

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. P. Shutyaev

This figure shows the co-authorship network connecting the top 25 collaborators of V. P. Shutyaev. A scholar is included among the top collaborators of V. P. Shutyaev 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 V. P. Shutyaev. V. P. Shutyaev 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

Gejadze, Igor, V. P. Shutyaev, Hind Oubanas, & Pierre‐Olivier Malaterre. (2023). A Bayesian-variational cyclic method for solving estimation problems characterized by non-uniqueness (equifinality). Journal of Computational Physics. 488. 112239–112239.

Parmuzin, E. I. & V. P. Shutyaev. (2023). Sensitivity of Functionals of the Solution to the Variational Assimilation Problem to the Input Data on the Heat Flux for a Model of Sea Thermodynamics. Computational Mathematics and Mathematical Physics. 63(4). 623–632.

Shutyaev, V. P., et al.. (2023). Data Assimilation for the Two-Dimensional Ambipolar Diffusion Equation in Earth’s Ionosphere Model. Журнал вычислительной математики и математической физики. 63(5). 803–826.

Shutyaev, V. P., et al.. (2023). Sensitivity of Functionals of the Solution to the Variational Assimilation Problem to the Input Data on the Heat Flux for a Model of Sea Thermodynamics. Журнал вычислительной математики и математической физики. 63(4). 657–666. 1 indexed citations

Shutyaev, V. P., et al.. (2023). Four-Dimensional Variational Data Assimilation and Sensitivity of Ocean Model State Variables to Observation Errors. Journal of Marine Science and Engineering. 11(6). 1253–1253. 4 indexed citations

Dymnikov, Valentin, et al.. (2023). Data Assimilation for the Two-Dimensional Ambipolar Diffusion Equation in Earth’s Ionosphere Model. Computational Mathematics and Mathematical Physics. 63(5). 845–867.

Agoshkov, V. I., et al.. (2019). Variational Data Assimilation in the Mathematical Model of the Black Sea Dynamics. Morskoy gidrofizicheskiy zhurnal. 35(6). 1 indexed citations

Shutyaev, V. P., François-Xavier Le Dimet, & E. I. Parmuzin. (2018). Sensitivity analysis with respect to observations in variational data assimilation. Biogeosciences (European Geosciences Union). 1 indexed citations

Shutyaev, V. P., François-Xavier Le Dimet, & E. I. Parmuzin. (2018). Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation. Nonlinear processes in geophysics. 25(2). 429–439. 7 indexed citations

10.

Shutyaev, V. P., Igor Gejadze, Arthur Vidard, & François‐Xavier Le Dimet. (2016). Optimal solution error quantification in variational data assimilation involving imperfect models. International Journal for Numerical Methods in Fluids. 83(3). 276–290. 3 indexed citations

11.

Souopgui, Innocent, et al.. (2015). Toward the assimilation of images. Nonlinear processes in geophysics. 22(1). 15–32. 15 indexed citations

12.

Shutyaev, V. P., Igor Gejadze, & François-Xavier Le Dimet. (2013). Posterior covariance versus analysis error covariance in variational data assimilation. EGU General Assembly Conference Abstracts. 1 indexed citations

13.

Agoshkov, V. I., et al.. (2010). Problems of variational assimilation of observational data for ocean general circulation models and methods for their solution. Izvestiya Atmospheric and Oceanic Physics. 46(6). 677–712. 29 indexed citations

14.

Gejadze, Igor, François‐Xavier Le Dimet, & V. P. Shutyaev. (2007). On error covariances in variational data assimilation. Russian Journal of Numerical Analysis and Mathematical Modelling. 22(2). 5 indexed citations

15.

Dimet, François-Xavier Le, V. P. Shutyaev, & Igor Gejadze. (2006). Analysis error via Hessian in variational data assimilation. Organic & Biomolecular Chemistry. 14(37). 8648–58. 3 indexed citations

16.

Marchuk, G. I., V. P. Shutyaev, & Gennady Bocharov. (2005). Adjoint equations and analysis of complex systems: Application to virus infection modelling. Journal of Computational and Applied Mathematics. 184(1). 177–204. 16 indexed citations

17.

Shutyaev, V. P.. (2001). Control operators and iterative algorithms in variational data assimilation problems. Journal of Inverse and Ill-Posed Problems. 9(2). 177–188. 34 indexed citations

18.

Dimet, François-Xavier Le, et al.. (2001). On error sensitivity analysis in variationnal data assimilation. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

19.

Agoshkov, V. I., E. I. Parmuzin, V. P. Shutyaev, & Claude Bardos. (2000). NUMERICAL ANALYSIS OF ITERATIVE ALGORITHMS FOR AN INVERSE BOUNDARY TRANSPORT PROBLEM. Mathematical Models and Methods in Applied Sciences. 10(1). 11–29. 11 indexed citations

20.

Shutyaev, V. P.. (1997). Solvability of the data assimilation problem in the scale of Hilbert spaces for quasilinear singularly perturbed evolutionary problems. Russian Journal of Numerical Analysis and Mathematical Modelling. 12(1). 4 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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