Václav Klika

1.7k total citations
54 papers, 1.0k citations indexed

About

Václav Klika is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Václav Klika has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistical and Nonlinear Physics, 17 papers in Biomedical Engineering and 13 papers in Computer Networks and Communications. Recurrent topics in Václav Klika's work include Advanced Thermodynamics and Statistical Mechanics (22 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Phase Equilibria and Thermodynamics (7 papers). Václav Klika is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (22 papers), Nonlinear Dynamics and Pattern Formation (13 papers) and Phase Equilibria and Thermodynamics (7 papers). Václav Klika collaborates with scholars based in Czechia, United Kingdom and Canada. Václav Klika's co-authors include Michal Pavelka, Miroslav Grmela, Eamonn A. Gaffney, František Maršík, Andrew L. Krause, Denis J. Headon, Habiba Bougherara, Cameron Brown, Ruth E. Baker and Philip K. Maini and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Applied Energy.

In The Last Decade

Václav Klika

53 papers receiving 979 citations

Peers

Václav Klika

SNP

CNC

SURGE

Yoshinori Hayakawa Japan

Sergio Alonso Spain

Bao-quan Ai China

Pik‐Yin Lai Taiwan

Matthias Winter Hong Kong

Robert Dillon United States

Juan Manuel Pastor Spain

J. Bragard Spain

John Blake Japan

Yoshinori Hayakawa Japan

Václav Klika

191 ×0.7

SNP

191 ×0.8

151 ×0.7

CNC

97 ×0.5

24 ×0.2

SURGE

Citations per year, relative to Václav Klika Václav Klika (= 1×) peers Yoshinori Hayakawa

Countries citing papers authored by Václav Klika

Since Specialization

Citations

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

Fields of papers citing papers by Václav Klika

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Václav Klika

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

Klika, Václav, Eamonn A. Gaffney, & Philip K. Maini. (2024). On the speed of propagation in Turing patterns for reaction–diffusion systems. Physica D Nonlinear Phenomena. 467. 134268–134268. 3 indexed citations

Krause, Andrew L., et al.. (2024). Turing Instabilities are Not Enough to Ensure Pattern Formation. Bulletin of Mathematical Biology. 86(2). 21–21. 10 indexed citations

Klika, Václav, et al.. (2023). Towards systematic approach to boundary conditions in mixture and multiphasic incompressible models: Maximum Entropy principle estimate. International Journal of Engineering Science. 191. 103902–103902. 4 indexed citations

Peshkov, Ilya, et al.. (2022). Unified description of fluids and solids in Smoothed Particle Hydrodynamics. Applied Mathematics and Computation. 439. 127579–127579. 5 indexed citations

Klika, Václav, et al.. (2022). Liouville-Green approximation for linearly coupled systems: Asymptotic analysis with applications to reaction-diffusion systems. Discrete and Continuous Dynamical Systems - S. 15(9). 2553–2553. 2 indexed citations

Klika, Václav. (2021). Pattern formation revisited within nonequilibrium thermodynamics: Burgers’-type equation. Biological Cybernetics. 116(1). 81–91. 2 indexed citations

Grmela, Miroslav, Václav Klika, & Michal Pavelka. (2020). Dynamic and Renormalization-Group Extensions of the Landau Theory of Critical Phenomena. Entropy. 22(9). 978–978. 4 indexed citations

Klika, Václav, et al.. (2019). Dynamic Maximum Entropy Reduction. Entropy. 21(7). 715–715. 16 indexed citations

Gorder, Robert A. Van, Václav Klika, & Andrew L. Krause. (2019). Non-autonomous Turing conditions for reaction-diffusion systems on evolving domains. arXiv (Cornell University). 1 indexed citations

10.

Klika, Václav, Jonathan Whiteley, Cameron Brown, & Eamonn A. Gaffney. (2019). The combined impact of tissue heterogeneity and fixed charge for models of cartilage: the one-dimensional biphasic swelling model revisited. Biomechanics and Modeling in Mechanobiology. 18(4). 953–968. 8 indexed citations

11.

Gaffney, Eamonn A., et al.. (2019). Pattern formation in reaction-diffusion systems with piecewise kinetic modulation: An example study of heterogeneous kinetics. Physical review. E. 100(4). 42220–42220. 21 indexed citations

12.

Pavelka, Michal, Václav Klika, & Miroslav Grmela. (2018). Thermodynamic Explanation of Landau Damping by Reduction to Hydrodynamics. Entropy. 20(6). 457–457. 4 indexed citations

13.

Glover, James D., Kirsty L. Wells, Franziska Matthäus, et al.. (2017). Hierarchical patterning modes orchestrate hair follicle morphogenesis. PLoS Biology. 15(7). e2002117–e2002117. 102 indexed citations

14.

Grmela, Miroslav, Václav Klika, & Michal Pavelka. (2015). Reductions and extensions in mesoscopic dynamics. Physical Review E. 92(3). 32111–32111. 17 indexed citations

15.

Gaffney, Eamonn A., et al.. (2014). Investigating the Turing conditions for diffusion-driven instability in the presence of a binding immobile substrate. Journal of Theoretical Biology. 367. 286–295. 34 indexed citations

16.

Cotter, Simon L., Václav Klika, L. S. Kimpton, Sally Collins, & Alexander Heazell. (2014). A stochastic model for early placental development. Journal of The Royal Society Interface. 11(97). 20140149–20140149. 24 indexed citations

17.

Klika, Václav & Miroslav Grmela. (2013). Coupling between chemical kinetics and mechanics that is both nonlinear and compatible with thermodynamics. Physical Review E. 87(1). 12141–12141. 24 indexed citations

18.

Klika, Václav, Ruth E. Baker, Denis J. Headon, & Eamonn A. Gaffney. (2011). The Influence of Receptor-Mediated Interactions on Reaction-Diffusion Mechanisms of Cellular Self-organisation. Bulletin of Mathematical Biology. 74(4). 935–957. 52 indexed citations

19.

Bougherara, Habiba, et al.. (2010). New predictive model for monitoring bone remodeling. Journal of Biomedical Materials Research Part A. 95A(1). 9–24. 14 indexed citations

20.

Maršík, František, Václav Klika, & Hynek Chlup. (2009). Remodelling of living bone induced by dynamic loading and drug delivery—Numerical modelling and clinical treatment. Mathematics and Computers in Simulation. 80(6). 1278–1288. 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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