Michal Pospíšil

946 citations
51 papers · 710 indexed · h-index 15
Topics
Nonlinear Differential Equations Analysis (27 papers)Fractional Differential Equations Solutions (16 papers)Differential Equations and Numerical Methods (12 papers)
Partner nations
SlovakiaCzechiaGreece

In The Last Decade

Michal Pospíšil

50 papers receiving 683 citations

Peers

Michal Pospíšil
Comparison fields: 5 of 44
  • Applied Mathematics 363
  • Modeling and Simulation 307
  • Numerical Analysis 242
  • Computational Theory and Mathematics 192
  • Control and Systems Engineering 155
Replace Milan Medveď with:
Milan Medveď Slovakia
Michelle Pierri Brazil
Xinan Hao China
Thai Son Doan Vietnam
Jiqiang Jiang China
Bıllûr Kaymakçalan Türkiye
Stepan Tersian Bulgaria
Antonín Slavík Czechia
Jie Xin China
A. Zafer Türkiye
Michal Pospíšil relative to Milan Medveď Slovakia Milan Medveď's profile →
Citations per field
00.5×1.7×
Milan Medveď · 1×
Citations per year

Countries citing papers authored by Michal Pospíšil

Since Specialization
Citations

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

Fields of papers citing papers by Michal Pospíšil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Pospíšil

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Pospíšil. A scholar is included among the top collaborators of Michal Pospíšil 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 Michal Pospíšil. Michal Pospíšil 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
#WorkIndexed citations
1 2
2 3
3 1
4 15
5 4
6
Laplace Transform, Gronwall Inequality and Delay Differential Equations for General Conformable Fractional Derivative
4
7 1
8 12
9 1
10 26
11 19
12
Sturm’s theorems for conformable fractional differential equations
42
13 2
14 13
15 4
16 65
17 29
18 14
19 59
20
On the Bifurcation of Periodic Orbits in Discontinuous Systems
12

About Michal Pospíšil

Michal Pospíšil is a scholar working on Modeling and Simulation, Numerical Analysis and Applied Mathematics, having authored 51 papers that have together received 710 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (27 papers), Fractional Differential Equations Solutions (16 papers) and Differential Equations and Numerical Methods (12 papers). The work is most often cited by research in Modeling and Simulation (307 citations), Numerical Analysis (242 citations) and Applied Mathematics (363 citations). Michal Pospíšil has collaborated with scholars based in Slovakia, Czechia and Greece. Frequent co-authors include Mičhal Fĕckan, Milan Medveď, Josef Diblı́k, JinRong Wang, Matteo Franca, Michal Veselý, Petr Hasil, H. Susanto, Jozef Kiseľák and Vassilis M. Rothos. Their work appears in journals such as Applied Mathematics and Computation, Journal of Differential Equations and SIAM Journal on Control and Optimization.

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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