Dmitry Orlovsky

691 total citations · 1 hit paper
13 papers, 516 citations indexed

About

Dmitry Orlovsky is a scholar working on Mathematical Physics, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Dmitry Orlovsky has authored 13 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mathematical Physics, 10 papers in Applied Mathematics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Dmitry Orlovsky's work include Numerical methods in inverse problems (11 papers), Differential Equations and Boundary Problems (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Dmitry Orlovsky is often cited by papers focused on Numerical methods in inverse problems (11 papers), Differential Equations and Boundary Problems (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Dmitry Orlovsky collaborates with scholars based in Russia, Tajikistan and Italy. Dmitry Orlovsky's co-authors include I. A. Vasin, A. I. Prilepko, Sergey Piskarev and Renato Spigler and has published in prestigious journals such as Taiwanese Journal of Mathematics, Journal of Mathematical Sciences and Journal of Inverse and Ill-Posed Problems.

In The Last Decade

Dmitry Orlovsky

13 papers receiving 476 citations

Hit Papers

Methods for Solving Inverse Problems in Mathematical Physics 2000 2026 2008 2017 2000 100 200 300

Peers

Dmitry Orlovsky
Dmitry Orlovsky
Citations per year, relative to Dmitry Orlovsky Dmitry Orlovsky (= 1×) peers I. A. Vasin

Countries citing papers authored by Dmitry Orlovsky

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Orlovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Orlovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Orlovsky. A scholar is included among the top collaborators of Dmitry Orlovsky 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 Dmitry Orlovsky. Dmitry Orlovsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Orlovsky, Dmitry & Sergey Piskarev. (2020). Inverse problem with final overdetermination for time-fractional differential equation in a Banach space. Journal of Inverse and Ill-Posed Problems. 30(2). 221–237. 8 indexed citations
2.
Orlovsky, Dmitry. (2019). Determination of the parameter of the differential equation of fractional order with the Caputo derivative in Hilbert space. Journal of Physics Conference Series. 1205. 12042–12042. 6 indexed citations
3.
Orlovsky, Dmitry & Sergey Piskarev. (2018). On Approximation of Coefficient Inverse Problems for Differential Equations in Functional Spaces. Journal of Mathematical Sciences. 230(6). 823–906. 5 indexed citations
4.
Orlovsky, Dmitry. (2015). Parameter Determination in a Differential Equation of Fractional Order with Riemann -Liouville Fractional Derivative in a Hilbert Space. Journal of Siberian Federal University Mathematics & Physics. 8(1). 55–63. 23 indexed citations
5.
Orlovsky, Dmitry & Sergey Piskarev. (2013). The approximation of Bitzadze-Samarsky type inverse problem for elliptic equations with Neumann conditions. DergiPark (Istanbul University). 1(2). 14 indexed citations
6.
Orlovsky, Dmitry & Sergey Piskarev. (2013). Approximation of inverse Bitzadze-Samarsky problem for elliptic eqaution with Neumann conditions. 1(2). 118–131. 5 indexed citations
7.
Orlovsky, Dmitry. (2012). Inverse problem for elliptic equation in a Banach space with Bitsadze–Samarsky boundary value conditions. Journal of Inverse and Ill-Posed Problems. 21(1). 141–157. 9 indexed citations
8.
Orlovsky, Dmitry, Sergey Piskarev, & Renato Spigler. (2010). On approximation of inverse problems for abstract hyperbolic equations. Taiwanese Journal of Mathematics. 14. 1145–1167. 5 indexed citations
9.
Orlovsky, Dmitry, Sergey Piskarev, & Renato Spigler. (2010). ON APPROXIMATION OF INVERSE PROBLEMS FOR ABSTRACT HYPERBOLIC EQUATIONS. Taiwanese Journal of Mathematics. 14(3B). 4 indexed citations
10.
Orlovsky, Dmitry & Sergey Piskarev. (2009). On approximation of inverse problems for abstract elliptic problems. Journal of Inverse and Ill-Posed Problems. 17(8). 25 indexed citations
11.
Orlovsky, Dmitry, et al.. (2004). Foreign Interface for PLT Scheme. 6 indexed citations
12.
Prilepko, A. I., et al.. (2000). Methods for Solving Inverse Problems in Mathematical Physics. 397 indexed citations breakdown →
13.
Orlovsky, Dmitry, et al.. (2000). Methods for solving inverse problems in mathematical physics. (Monographs and Textbooks in Pure and Applied Mathematics, vol.231). 9 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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