Štěpán Papáček

452 total citations
25 papers, 256 citations indexed

About

Štěpán Papáček is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Štěpán Papáček has authored 25 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Renewable Energy, Sustainability and the Environment, 7 papers in Molecular Biology and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Štěpán Papáček's work include Algal biology and biofuel production (13 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers) and Photosynthetic Processes and Mechanisms (5 papers). Štěpán Papáček is often cited by papers focused on Algal biology and biofuel production (13 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers) and Photosynthetic Processes and Mechanisms (5 papers). Štěpán Papáček collaborates with scholars based in Czechia, Spain and Mexico. Štěpán Papáček's co-authors include Sergej Čelikovský, Dalibor Štys, Martin Hagemann, Branislav Rehák, Javier Ruiz‐León, Radek Kaňa, Magda Sergejevová, Ondřej Prášil, Jan Červený and Lu‐Ning Liu and has published in prestigious journals such as IEEE Transactions on Automatic Control, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Štěpán Papáček

21 papers receiving 249 citations

Peers

Štěpán Papáček

RESE

OCEAN

Joseph T. Ostrand United States

Zoee Perrine United States

Vladimír Tichý Czechia

Yunbing Ma United States

Anika Küken Germany

М. А. Bolshakov Russia

Silvia Berteotti Italy

Tatyana E. Krendeleva Russia

Laura Girolomoni Italy

Anumeha Singh India

Joseph T. Ostrand United States

Štěpán Papáček

280 ×1.7

RESE

221 ×2.5

17 ×0.4

21 ×0.6

OCEAN

53 ×1.9

Citations per year, relative to Štěpán Papáček Štěpán Papáček (= 1×) peers Joseph T. Ostrand

Countries citing papers authored by Štěpán Papáček

Since Specialization

Citations

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

Fields of papers citing papers by Štěpán Papáček

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Štěpán Papáček

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

Llorà, Ingrid Masaló, et al.. (2024). Modeling and CFD Simulation of Macroalgae Motion within Aerated Tanks: Assessment of Light-Dark Cycle Period. Energies. 17(14). 3555–3555.

Papáček, Štěpán, et al.. (2023). Optimization of thin-layer photobioreactors for the production of microalgae by integrating fluid-dynamic and photosynthesis rate aspects. Journal of Applied Phycology. 35(5). 2111–2123. 4 indexed citations

Papáček, Štěpán, et al.. (2022). On the design and modeling of a trainer for the underactuated walking robot without ankles. Engineering Mechanics .... 309–312.

Papáček, Štěpán, Volodymyr Lynnyk, & Branislav Rehák. (2021). Regulatory network of drug-induced enzyme production: parameter estimation based on the periodic dosing response measurement. 89–98.

Papáček, Štěpán & Volodymyr Lynnyk. (2021). Quasi-steady state assumption vs. delayed quasi-steady state assumption: Model reduction tools for biochemical processes. 278–283.

Papáček, Štěpán, et al.. (2020). Experimental & Computational Fluid Dynamics Study of the Suitability of Different Solid Feed Pellets for Aquaculture Systems. Applied Sciences. 10(19). 6954–6954. 2 indexed citations

Tebbens, Jurjen Duintjer, et al.. (2019). On parameter estimation in an in vitro compartmental model for drug-induced enzyme production in pharmacotherapy. Applications of Mathematics. 64(2). 253–277. 3 indexed citations

Papáček, Štěpán, et al.. (2018). Advanced integration of fluid dynamics and photosynthetic reaction kinetics for microalgae culture systems. BMC Systems Biology. 12(S5). 93–93. 15 indexed citations

Papáček, Štěpán, et al.. (2017). Closed-form formulas vs. PDE based numerical solution for the FRAP data processing: Theoretical and practical comparison. Computers & Mathematics with Applications. 73(8). 1673–1683. 1 indexed citations

10.

Papáček, Štěpán, et al.. (2016). Different strategies of metabolic regulation in cyanobacteria: from transcriptional to biochemical control. Scientific Reports. 6(1). 33024–33024. 31 indexed citations

11.

Papáček, Štěpán, et al.. (2015). On the connection and equivalence of two methods for solving an ill-posed inverse problem based on FRAP data. Journal of Computational and Applied Mathematics. 290. 598–608. 3 indexed citations

12.

Kindermann, Stefan & Štěpán Papáček. (2015). On Data Space Selection and Data Processing for Parameter Identification in a Reaction-Diffusion Model Based on FRAP Experiments. Abstract and Applied Analysis. 2015. 1–17. 3 indexed citations

13.

Kaňa, Radek, Eva Kotabová, Martin Lukeš, et al.. (2014). Phycobilisome Mobility and Its Role in the Regulation of Light Harvesting in Red Algae. PLANT PHYSIOLOGY. 165(4). 1618–1631. 36 indexed citations

14.

Papáček, Štěpán, et al.. (2012). Estimation of diffusivity of phycobilisomes on thylakoid membrane based on spatio-temporal FRAP images. Mathematical and Computer Modelling. 57(7-8). 1907–1912. 6 indexed citations

15.

Papáček, Štěpán, et al.. (2011). Modelling and simulation of photosynthetic microorganism growth: random walk vs. finite difference method. Mathematics and Computers in Simulation. 82(10). 2022–2032. 9 indexed citations

16.

Čelikovský, Sergej, et al.. (2010). Singular Perturbation Based Solution to Optimal Microalgal Growth Problem and Its Infinite Time Horizon Analysis. IEEE Transactions on Automatic Control. 55(3). 767–772. 20 indexed citations

17.

Papáček, Štěpán, et al.. (2010). Growth impact of hydrodynamic dispersion in a Couette–Taylor bioreactor. Mathematical and Computer Modelling. 54(7-8). 1791–1795. 4 indexed citations

18.

Papáček, Štěpán, Sergej Čelikovský, & Javier Ruiz‐León. (2008). Optimal Feedback Control of Microalgal Growth Based on the Slow Reduction. IFAC Proceedings Volumes. 41(2). 14588–14593. 4 indexed citations

19.

Papáček, Štěpán, et al.. (2007). Bilinear system as a modelling framework for analysis of microalgal growth. Kybernetika. 43(1). 1–20. 12 indexed citations

20.

Masojídek, Jiří, Štěpán Papáček, Magda Sergejevová, et al.. (2003). A closed solar photobioreactor for cultivation of microalgae under supra-high irradiance: basic design and performance. Journal of Applied Phycology. 15(2-3). 239–248. 60 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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