П. П. Матус

781 total citations
69 papers, 425 citations indexed

About

П. П. Матус is a scholar working on Numerical Analysis, Applied Mathematics and Mechanical Engineering. According to data from OpenAlex, П. П. Матус has authored 69 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Numerical Analysis, 50 papers in Applied Mathematics and 13 papers in Mechanical Engineering. Recurrent topics in П. П. Матус's work include Differential Equations and Numerical Methods (59 papers), Differential Equations and Boundary Problems (43 papers) and Numerical methods for differential equations (19 papers). П. П. Матус is often cited by papers focused on Differential Equations and Numerical Methods (59 papers), Differential Equations and Boundary Problems (43 papers) and Numerical methods for differential equations (19 papers). П. П. Матус collaborates with scholars based in Belarus, Poland and Vietnam. П. П. Матус's co-authors include A. A. Samarskiĭ, П. Н. Вабищевич, Lê Minh Hiếu, Iryna Rybak, V. I. Mazhukin, Boško S. Jovanović, Lubin G. Vulkov, Roderick Melnik, Igor Mozolevski and F.J. Lisbona and has published in prestigious journals such as Computers & Mathematics with Applications, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Journal of Computational and Applied Mathematics.

In The Last Decade

П. П. Матус

62 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
П. П. Матус Belarus 10 304 212 126 95 63 69 425
Р. В. Бризицкий Russia 11 149 0.5× 162 0.8× 77 0.6× 104 1.1× 74 1.2× 46 290
M. Guedda France 14 108 0.4× 289 1.4× 110 0.9× 181 1.9× 152 2.4× 55 601
Lazhar Bougoffa Saudi Arabia 11 148 0.5× 122 0.6× 44 0.3× 37 0.4× 44 0.7× 66 348
Li‐Bin Liu China 12 281 0.9× 74 0.3× 102 0.8× 70 0.7× 9 0.1× 51 382
Samir Karaa Oman 14 438 1.4× 54 0.3× 339 2.7× 92 1.0× 78 1.2× 48 692
İbrahim Çelik Türkiye 13 212 0.7× 61 0.3× 61 0.5× 42 0.4× 58 0.9× 23 479
Е. И. Моисеев Russia 9 129 0.4× 265 1.3× 26 0.2× 162 1.7× 236 3.7× 99 440
Enrique Otárola Chile 11 175 0.6× 82 0.4× 188 1.5× 181 1.9× 105 1.7× 40 442
Qiumei Huang China 10 204 0.7× 29 0.1× 191 1.5× 62 0.7× 26 0.4× 42 378
Shingmin Wang Canada 6 205 0.7× 327 1.5× 54 0.4× 133 1.4× 260 4.1× 6 413

Countries citing papers authored by П. П. Матус

Since Specialization
Citations

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

Fields of papers citing papers by П. П. Матус

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of П. П. Матус

This figure shows the co-authorship network connecting the top 25 collaborators of П. П. Матус. A scholar is included among the top collaborators of П. П. Матус 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 П. П. Матус. П. П. Матус 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
2.
Матус, П. П., et al.. (2025). Three-Layer Compact Difference Scheme for a Hyperbolic Heat Conduction Equation. Mathematical Models and Computer Simulations. 17(6). 675–686.
3.
Zhang, Qifeng, et al.. (2024). Error estimate of the conservative difference scheme for the derivative nonlinear Schrödinger equation. Applied Mathematics Letters. 159. 109283–109283. 1 indexed citations
4.
Матус, П. П., et al.. (2024). Conservative compact and monotone fourth order difference schemes for quasilinear equations. Doklady of the National Academy of Sciences of Belarus. 68(1). 7–14. 2 indexed citations
5.
Матус, П. П., et al.. (2022). Monotone Schemes of Conditional Approximation and Arbitrary Order of Accuracy for the Transport Equation. Computational Mathematics and Mathematical Physics. 62(3). 359–371.
6.
Матус, П. П., et al.. (2021). Compact and Monotone Difference Schemes for Parabolic Equations. Mathematical Models and Computer Simulations. 13(6). 1038–1048. 6 indexed citations
7.
Матус, П. П., et al.. (2021). Compact Difference Schemes on a Three-Point Stencil for Second-Order Hyperbolic Equations. Differential Equations. 57(7). 934–946. 8 indexed citations
8.
Матус, П. П., et al.. (2019). On Convergence of Difference Schemes for Dirichlet IBVP for Two-Dimensional Quasilinear Parabolic Equations with Mixed Derivatives and Generalized Solutions. Computational Methods in Applied Mathematics. 20(4). 695–707. 3 indexed citations
10.
Матус, П. П., et al.. (2017). On the consistent two-side estimates for the solutions of quasilinear convection–diffusion equations and their approximations on non-uniform grids. Journal of Computational and Applied Mathematics. 340. 571–581. 4 indexed citations
11.
Матус, П. П., Lê Minh Hiếu, & Lubin G. Vulkov. (2016). Analysis of second order difference schemes on non-uniform grids for quasilinear parabolic equations. Journal of Computational and Applied Mathematics. 310. 186–199. 21 indexed citations
12.
Gaspar, Francisco J., et al.. (2016). Monotone Finite Difference Schemes for Quasilinear Parabolic Problems with Mixed Boundary Conditions. Computational Methods in Applied Mathematics. 16(2). 231–243. 6 indexed citations
13.
Gaspar, Francisco J., et al.. (2015). Numerical methods for a one-dimensional non-linear Biot’s model. Journal of Computational and Applied Mathematics. 293. 62–72. 4 indexed citations
14.
Матус, П. П.. (2014). On Convergence of Difference Schemes for IBVPfor Quasilinear Parabolic Equations with Generalized Solutions. Computational Methods in Applied Mathematics. 14(3). 361–371. 17 indexed citations
15.
Матус, П. П., et al.. (2014). Exact difference schemes for a two-dimensional convection–diffusion–reaction equation. Computers & Mathematics with Applications. 67(12). 2205–2217. 4 indexed citations
16.
Матус, П. П.. (2010). Well-posedness of difference schemes for semilinear parabolic equations with weak solutions. Computational Mathematics and Mathematical Physics. 50(12). 2044–2063. 2 indexed citations
17.
Матус, П. П., et al.. (2010). Well-Posedness and Blow Up for IBVP for Semilinear Parabolic Equations and Numerical Methods. Computational Methods in Applied Mathematics. 10(4). 395–421. 5 indexed citations
18.
Матус, П. П., et al.. (2009). Investigation of the stability and convergence of difference schemes for a polytropic gas with subsonic flows. Differential Equations. 45(7). 1074–1085. 3 indexed citations
19.
Матус, П. П., et al.. (2005). On the Stability of a Monotone Difference Scheme for the Burgers Equation. Differential Equations. 41(7). 1003–1009. 5 indexed citations
20.
Mazhukin, V. I., et al.. (2001). Difference schemes on irregular grids for equations of mathematical physics with variable coefficients. Computational Mathematics and Mathematical Physics. 41(3). 379–391. 7 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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