Larisa Beilina

1.7k total citations
77 papers, 902 citations indexed

About

Larisa Beilina is a scholar working on Mathematical Physics, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Larisa Beilina has authored 77 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Mathematical Physics, 33 papers in Biomedical Engineering and 27 papers in Mechanics of Materials. Recurrent topics in Larisa Beilina's work include Numerical methods in inverse problems (49 papers), Microwave Imaging and Scattering Analysis (31 papers) and Advanced Mathematical Modeling in Engineering (17 papers). Larisa Beilina is often cited by papers focused on Numerical methods in inverse problems (49 papers), Microwave Imaging and Scattering Analysis (31 papers) and Advanced Mathematical Modeling in Engineering (17 papers). Larisa Beilina collaborates with scholars based in Sweden, United States and Russia. Larisa Beilina's co-authors include Michael V. Klibanov, Nguyễn Trung Thành, Michael A. Fiddy, Claes Johnson, M. Yu. Kokurin, Christian Clason, Evgenii M. Karchevskii, Michel Cristofol, Mohammad Asadzadeh and Anatoly B. Bakushinsky and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Larisa Beilina

70 papers receiving 856 citations

Peers

Larisa Beilina

CTM

EEE

Frank Hettlich Germany

Rainer Kreß Germany

Luca Rondi Italy

Armin Lechleiter Germany

Mikyoung Lim South Korea

Shari Moskow United States

Laurent Bourgeois France

Masaru Ikehata Japan

Johannes Elschner Germany

Tuong Ha-Duong France

Frank Hettlich Germany

Larisa Beilina

556 ×0.8

296 ×0.7

237 ×0.9

175 ×0.7

CTM

129 ×0.9

EEE

Citations per year, relative to Larisa Beilina Larisa Beilina (= 1×) peers Frank Hettlich

Countries citing papers authored by Larisa Beilina

Since Specialization

Citations

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

Fields of papers citing papers by Larisa Beilina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Larisa Beilina

This figure shows the co-authorship network connecting the top 25 collaborators of Larisa Beilina. A scholar is included among the top collaborators of Larisa Beilina 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 Larisa Beilina. Larisa Beilina 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

Beilina, Larisa, et al.. (2024). Energy norm error estimates and convergence analysis for a stabilized Maxwell's equations in conductive media. Applications of Mathematics. 69(4). 415–436.

Beilina, Larisa & Vitoriano Ruas. (2024). Explicit P1 Finite Element Solution of the Maxwell-Wave Equation Coupling Problem with Absorbing b. c.. Mathematics. 12(7). 936–936.

Beilina, Larisa, et al.. (2024). A hybrid finite element/finite difference method for reconstruction of dielectric properties of conductive objects. Chalmers Research (Chalmers University of Technology). 788–793.

Beilina, Larisa, A. I. Eriksson, & Noora Neittaanmäki. (2024). Frequency inversion method and device for malignant melanoma detection using RF/microwaves. Chalmers Research (Chalmers University of Technology). 794–799.

Beilina, Larisa, et al.. (2023). Gas Dynamics with Applications in Industry and Life Sciences. Springer proceedings in mathematics & statistics. 1 indexed citations

Beilina, Larisa, et al.. (2022). An adaptive finite element method for solving 3D electromagnetic volume integral equation with applications in microwave thermometry. Journal of Computational Physics. 459. 111122–111122. 4 indexed citations

Beilina, Larisa. (2020). Numerical analysis of least squares and perceptron learning for classification problems. Chalmers Research (Chalmers University of Technology). 3(2). 30–49. 1 indexed citations

Beilina, Larisa, et al.. (2018). An adaptive finite element method in quantitative reconstruction of small inclusions from limited observations. Chalmers Research (Chalmers University of Technology). 8 indexed citations

Beilina, Larisa, Michel Cristofol, & Shumin Li. (2018). Determining the conductivity for a nonautonomous hyperbolic operator in a cylindrical domain. Mathematical Methods in the Applied Sciences. 41(5). 2012–2030. 1 indexed citations

10.

Beilina, Larisa, Michel Cristofol, Shumin Li, & Masahiro Yamamoto. (2017). Lipschitz stability for an inverse hyperbolic problem of determining two coefficients by a finite number of observations. Inverse Problems. 34(1). 15001–15001. 11 indexed citations

11.

Beilina, Larisa. (2016). Application of the finite element method in a quantitative imaging technique. Journal of Computational Methods in Sciences and Engineering. 16(4). 755–771. 2 indexed citations

12.

Beilina, Larisa, et al.. (2016). An adaptive finite element method in reconstruction of coefficients in Maxwell’s equations from limited observations. Applications of Mathematics. 61(3). 253–286. 11 indexed citations

13.

Thành, Nguyễn Trung, Larisa Beilina, Michael V. Klibanov, & Michael A. Fiddy. (2015). Imaging of Buried Objects from Experimental Backscattering Time-Dependent Measurements Using a Globally Convergent Inverse Algorithm. SIAM Journal on Imaging Sciences. 8(1). 757–786. 25 indexed citations

14.

Beilina, Larisa, et al.. (2014). Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements. Journal of Computational and Applied Mathematics. 289. 371–391. 14 indexed citations

15.

Beilina, Larisa. (2010). Adaptive Hybrid Finite Element/Difference method for Maxwell's equations: an a priory error estimate and efficiency. Chalmers Publication Library (Chalmers University of Technology). 1 indexed citations

16.

Asadzadeh, Mohammad & Larisa Beilina. (2010). A posteriori error estimates in a globally convergent FEM for a hyperbolic coefficient inverse problem. Inverse Problems. 26(11). 115007–115007. 7 indexed citations

17.

Beilina, Larisa & Michael V. Klibanov. (2010). A posteriori error estimates for the adaptivity technique for the Tikhonov functional and global convergence for a coefficient inverse problem. Inverse Problems. 26(4). 45012–45012. 29 indexed citations

18.

Beilina, Larisa, Theodore E. Simos, George Psihoyios, & Ch. Tsitouras. (2010). Hybrid Discontinuous Finite Element∕Finite Difference Method for Maxwell’s Equations. AIP conference proceedings. 324–328. 1 indexed citations

19.

Beilina, Larisa & Michael V. Klibanov. (2009). A Globally Convergent Numerical Method and Adaptivity for a Hyperbolic Coefficient Inverse Problem. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations

20.

Beilina, Larisa, et al.. (2008). A GLOBALLY CONVERGENT NUMERICAL METHOD FOR SOME COEFFICIENT INVERSE PROBLEMS WITH RESULTING SECOND ORDER ELLIPTIC EQUATIONS. 2 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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