Milan Kubı́ček

1.6k total citations
63 papers, 1.2k citations indexed

About

Milan Kubı́ček is a scholar working on Materials Chemistry, Catalysis and Computational Mechanics. According to data from OpenAlex, Milan Kubı́ček has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 16 papers in Catalysis and 15 papers in Computational Mechanics. Recurrent topics in Milan Kubı́ček's work include Catalytic Processes in Materials Science (16 papers), Catalysis and Oxidation Reactions (12 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Milan Kubı́ček is often cited by papers focused on Catalytic Processes in Materials Science (16 papers), Catalysis and Oxidation Reactions (12 papers) and Nonlinear Dynamics and Pattern Formation (11 papers). Milan Kubı́ček collaborates with scholars based in Czechia, India and United States. Milan Kubı́ček's co-authors include Miloš Marek, Vladimír Hlaváček, Petr Kočí, František Štĕpánek, Jan Štěpánek, Teuvo Maunula, J. Sinkule, Dalimil Šnita, Hanns Hofmann and R. G. Jahn and has published in prestigious journals such as Journal of Computational Physics, Chemical Engineering Journal and Communications of the ACM.

In The Last Decade

Milan Kubı́ček

62 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Kubı́ček Czechia 18 547 397 299 215 209 63 1.2k
M. Kubı́ček India 17 424 0.8× 208 0.5× 190 0.6× 104 0.5× 274 1.3× 60 1.3k
Vladimír Hlaváček United States 21 372 0.7× 146 0.4× 481 1.6× 166 0.8× 351 1.7× 99 1.6k
V. Hlaváček United States 23 341 0.6× 178 0.4× 363 1.2× 130 0.6× 451 2.2× 112 1.6k
Jan Čermák Czechia 21 499 0.9× 189 0.5× 370 1.2× 267 1.2× 40 0.2× 136 1.6k
Silvestro Crescitelli Italy 20 268 0.5× 105 0.3× 120 0.4× 26 0.1× 227 1.1× 84 1.2k
Olegh Bilous United States 8 146 0.3× 59 0.1× 87 0.3× 20 0.1× 134 0.6× 12 624
Huiyuan Li China 19 145 0.3× 29 0.1× 93 0.3× 213 1.0× 235 1.1× 98 1.1k
Zhanbing Bai China 33 147 0.3× 148 0.4× 51 0.2× 1.8k 8.6× 24 0.1× 108 3.9k
A. Razani Iran 22 133 0.2× 40 0.1× 293 1.0× 165 0.8× 94 0.4× 221 1.9k

Countries citing papers authored by Milan Kubı́ček

Since Specialization
Citations

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

Fields of papers citing papers by Milan Kubı́ček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Kubı́ček

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Kubı́ček. A scholar is included among the top collaborators of Milan Kubı́ček 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 Milan Kubı́ček. Milan Kubı́ček 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
1.
Štěpánek, Jan, et al.. (2010). Investigation of combined DOC and NSRC diesel car exhaust catalysts. Computers & Chemical Engineering. 34(5). 744–752. 11 indexed citations
2.
Kočí, Petr, et al.. (2008). Dynamics and selectivity of NO reduction in NO storage catalytic monolith. Catalysis Today. 137(2-4). 253–260. 47 indexed citations
3.
Marek, Miloš, et al.. (2006). Oscillations, period doublings, and chaos in CO oxidation and catalytic mufflers. Chaos An Interdisciplinary Journal of Nonlinear Science. 16(3). 37107–37107. 6 indexed citations
4.
Kočí, Petr, et al.. (2005). Catalytic Converters for Automobile Diesel Engines with Adsorption of Hydrocarbons on Zeolites. Industrial & Engineering Chemistry Research. 44(25). 9524–9534. 41 indexed citations
5.
Kočí, Petr, Milan Kubı́ček, & Miloš Marek. (2004). Modeling of Three-Way-Catalyst Monolith Converters with Microkinetics and Diffusion in the Washcoat. Industrial & Engineering Chemistry Research. 43(16). 4503–4510. 66 indexed citations
6.
Kočí, Petr, et al.. (2004). Nonlinear dynamics of automobile exhaust gas converters: the role of nonstationary kinetics. Chemical Engineering Science. 59(22-23). 5597–5605. 10 indexed citations
7.
Jahn, R. G., Dalimil Šnita, Milan Kubı́ček, & Miloš Marek. (2001). Evolution of spatiotemporal temperature patterns in monolithic catalytic reactor. Catalysis Today. 70(4). 393–409. 4 indexed citations
8.
Kubı́ček, Milan, et al.. (1999). Mathematical modelling of catalytic monolithic reactors with storage of reaction components on the catalyst surface. Catalysis Today. 53(4). 583–596. 28 indexed citations
9.
Štĕpánek, František, et al.. (1999). Nonstationary operation of a system of catalytic monolithic reactors for selective NO reduction. Chemical Engineering Science. 54(13-14). 2609–2618. 14 indexed citations
10.
Kubı́ček, Milan, et al.. (1987). Algorithms for determination of period-doubling bifurcation points in ordinary differential equations. Journal of Computational Physics. 70(1). 203–217. 9 indexed citations
11.
Schreiber, Igor, et al.. (1986). Periodic and aperiodic regimes in coupled dissipative chemical oscillators. Journal of Statistical Physics. 43(3-4). 489–519. 16 indexed citations
12.
Kubı́ček, Milan & Vladimír Hlaváček. (1983). Numerical solution of nonlinear boundary value problems with applications. Prentice Hall eBooks. 93 indexed citations
13.
Kubı́ček, Milan, et al.. (1983). Direction of branches bifurcating at a bifurcation point. determination of starting points for a continuation algorithm. Applied Mathematics and Computation. 13(1-2). 125–142. 8 indexed citations
14.
Kubı́ček, Milan, et al.. (1981). Numerical solution of nonlinear equations by one-parameter imbedding methods. Numerical Functional Analysis and Optimization. 3(2). 223–264. 11 indexed citations
15.
Kubı́ček, Milan, et al.. (1974). Solution of counter-current separation processes—IV. Application of the GPM method to solution of distillation problems. Chemical Engineering Science. 29(2). 435–441. 3 indexed citations
16.
Kubı́ček, Milan & Vladimír Hlaváček. (1974). Solution of nonlinear boundary value problems—VIII. Evaluation of branching points based on shooting method and GPM technique. Chemical Engineering Science. 29(8). 1695–1699. 15 indexed citations
17.
Kubı́ček, Milan. (1973). Algorithm 470: linear systems with almost tridiagonal matrix [F4]. Communications of the ACM. 16(12). 760–761. 6 indexed citations
18.
Kubı́ček, Milan & Vladimír Hlaváček. (1973). Solution of nonlinear boundary value problems—VII A novel method: differentiation with respect to boundary condition. Chemical Engineering Science. 28(4). 1049–1052. 5 indexed citations
19.
Hlaváček, Vladimír & Milan Kubı́ček. (1972). Modeling of chemical reactors—XXV Cylindrical and spherical reaction with radial flow. Chemical Engineering Science. 27(2). 177–186. 28 indexed citations
20.
Kubı́ček, Milan & Vladimír Hlaváček. (1971). Solution of nonlinear boundary value problems—II method of third order convergence for solution of nonlinear two-point boundary value problems system of equations. Chemical Engineering Science. 26(3). 321–324. 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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