Dalibor Pražák

462 total citations
38 papers, 306 citations indexed

About

Dalibor Pražák is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Dalibor Pražák has authored 38 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 18 papers in Computational Theory and Mathematics and 16 papers in Applied Mathematics. Recurrent topics in Dalibor Pražák's work include Stability and Controllability of Differential Equations (21 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Navier-Stokes equation solutions (15 papers). Dalibor Pražák is often cited by papers focused on Stability and Controllability of Differential Equations (21 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Navier-Stokes equation solutions (15 papers). Dalibor Pražák collaborates with scholars based in Czechia, Italy and United States. Dalibor Pražák's co-authors include Josef Málek, Maurizio Grasselli, Miroslav Bulíček, Petr Kaplický, Eduard Feireisl, Vadim S. Nikolayev, Bruno Andreotti, Mădălina Petcu, Giulio Schimperna and Κ. R. Rajagopal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Dalibor Pražák

34 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dalibor Pražák Czechia	10	186	165	129	69	67	38	306
Filippo Dell’Oro Italy	13	391 2.1×	265 1.6×	91 0.7×	46 0.7×	259 3.9×	42	551
C. H. Arthur Cheng Taiwan	9	46 0.2×	74 0.4×	129 1.0×	24 0.3×	54 0.8×	14	249
Marié Grobbelaar‐Van Dalsen South Africa	13	307 1.7×	267 1.6×	86 0.7×	16 0.2×	122 1.8×	30	340
Eva Fašangová Czechia	9	139 0.7×	202 1.2×	111 0.9×	11 0.2×	58 0.9×	18	281
J. Solà‐Morales Spain	10	226 1.2×	275 1.7×	252 2.0×	40 0.6×	184 2.7×	37	495
Hugo D. Fernández Sare Brazil	11	444 2.4×	341 2.1×	56 0.4×	62 0.9×	142 2.1×	21	518
Mamadou Sango South Africa	14	108 0.6×	311 1.9×	251 1.9×	5 0.1×	84 1.3×	48	495
A. Okay Çelebi Türkiye	9	107 0.6×	138 0.8×	182 1.4×	15 0.2×	127 1.9×	37	365
A. M. Gomilko Ukraine	11	76 0.4×	100 0.6×	148 1.1×	8 0.1×	178 2.7×	63	373
Paul André Razafimandimby South Africa	10	59 0.3×	111 0.7×	128 1.0×	6 0.1×	54 0.8×	29	256

Countries citing papers authored by Dalibor Pražák

Since Specialization

Citations

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

Fields of papers citing papers by Dalibor Pražák

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dalibor Pražák

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

Pražák, Dalibor, et al.. (2024). On the uniqueness of the solution and finite-dimensional attractors for the 3D Flow with dynamic slip boundary condition. Differential and Integral Equations. 37(11/12).

Pražák, Dalibor, et al.. (2024). Strong solutions and attractor dimension for 2D NSE with dynamic boundary conditions. Journal of Evolution Equations. 24(2).

Pražák, Dalibor, et al.. (2023). The existence and dimension of the attractor for a 3D flow of a non-Newtonian fluid subject to dynamic boundary conditions. Applicable Analysis. 103(1). 166–183. 1 indexed citations

Pražák, Dalibor, et al.. (2023). On linearization principle for Navier-Stokes system with dynamic slip boundary condition. Communications on Pure & Applied Analysis. 22(5). 1456–1476.

Cherfils, Laurence, et al.. (2019). The compressible Navier–Stokes–Cahn–Hilliard equations with dynamic boundary conditions. Mathematical Models and Methods in Applied Sciences. 29(14). 2557–2584. 9 indexed citations

Feireisl, Eduard, Mădălina Petcu, & Dalibor Pražák. (2019). Relative energy approach to a diffuse interface model of a compressible two‐phase flow. Mathematical Methods in the Applied Sciences. 42(5). 1465–1479. 5 indexed citations

Pražák, Dalibor, et al.. (2017). A non-standard approach to a constrained forced oscillator.

Frigeri, Sergio, Maurizio Grasselli, & Dalibor Pražák. (2017). Nonlocal Cahn–Hilliard–Navier–Stokes systems with shear dependent viscosity. Journal of Mathematical Analysis and Applications. 459(2). 753–777. 5 indexed citations

Pražák, Dalibor, et al.. (2016). Mechanical oscillators with dampers defined by implicit constitutive relations. Commentationes Mathematicae Universitatis Carolinae. 57(1). 51–61. 1 indexed citations

10.

Grasselli, Maurizio & Dalibor Pražák. (2014). Regularity Results for a Cahn-Hilliard-Navier-Stokes System with Shear Dependent Viscosity. Zeitschrift für Analysis und ihre Anwendungen. 33(3). 271–288. 2 indexed citations

11.

Andreotti, Bruno, et al.. (2013). Moving contact line of a volatile fluid. Physical Review E. 88(6). 60404–60404. 23 indexed citations

12.

Pražák, Dalibor & Κ. R. Rajagopal. (2012). Mechanical oscillators described by a system of differential-algebraic equations. Applications of Mathematics. 57(2). 129–142. 6 indexed citations

13.

Pražák, Dalibor. (2011). Remarks on the uniqueness of second order ODEs. Applications of Mathematics. 56(1). 161–172. 2 indexed citations

14.

Bulíček, Miroslav & Dalibor Pražák. (2009). A note on the dimension of the global attractor for an abstract semilinear hyperbolic problem. Applied Mathematics Letters. 22(7). 1025–1028. 1 indexed citations

15.

Pražák, Dalibor. (2007). A remark on characterization of entropy solutions. Computers & Mathematics with Applications. 53(3-4). 453–460. 2 indexed citations

16.

Kaplický, Petr & Dalibor Pražák. (2006). Differentiability of the solution operator and the dimension of the attractor for certain power–law fluids. Journal of Mathematical Analysis and Applications. 326(1). 75–87. 3 indexed citations

17.

Pražák, Dalibor. (2003). Exponential attractor for the delayed logistic equation with a nonlinear diffusion. 2003. 717. 2 indexed citations

18.

Málek, Josef & Dalibor Pražák. (2002). Large Time Behavior via the Method of ℓ-Trajectories. Journal of Differential Equations. 181(2). 243–279. 78 indexed citations

19.

Pražák, Dalibor. (2002). On Finite Fractal Dimension of the Global Attractor for the Wave Equation with Nonlinear Damping. Journal of Dynamics and Differential Equations. 14(4). 763–776. 33 indexed citations

20.

Málek, Josef & Dalibor Pražák. (2000). Finite fractal dimension of the global attractor for a class of non-Newtonian fluids. Applied Mathematics Letters. 13(1). 105–110. 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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