Petr Stehlík

555 citations
64 papers · 360 indexed · h-index 11
Topics
Nonlinear Differential Equations Analysis (12 papers)Monetary Policy and Economic Impact (11 papers)Fiscal Policies and Political Economy (9 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsEnergy

In The Last Decade

Petr Stehlík

55 papers receiving 317 citations

Peers

Petr Stehlík
Comparison fields: 5 of 75
  • Applied Mathematics 119
  • Economics and Econometrics 94
  • General Economics, Econometrics and Finance 74
  • Numerical Analysis 62
  • Computational Theory and Mathematics 55
Replace Takao Fujimoto with:
Takao Fujimoto Japan
Harry Zheng United Kingdom
Carlo Marinelli Germany
Hao Xing United States
Atle Seierstad Norway
Graziella Pacelli Italy
Naı̈la Hayek France
Domingo Tavella United States
Qingshuo Song United States
Marleen Stieler Germany
Petr Stehlík relative to Takao Fujimoto Japan Takao Fujimoto's profile →
Citations per field
00.5×
Takao Fujimoto · 1×
Citations per year

Countries citing papers authored by Petr Stehlík

Since Specialization
Citations

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

Fields of papers citing papers by Petr Stehlík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Stehlík

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Stehlík. A scholar is included among the top collaborators of Petr Stehlík 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 Petr Stehlík. Petr Stehlík 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 1
2 2
3 3
4 8
5 1
6 3
7 13
8 1
9 2
10 0
11 1
12 1
13 2
14 3
15 1
16 1
17 6
18 3
19 2
20 5

About Petr Stehlík

Petr Stehlík is a scholar working on General Economics, Econometrics and Finance, Applied Mathematics and Numerical Analysis, having authored 64 papers that have together received 360 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (12 papers), Monetary Policy and Economic Impact (11 papers) and Fiscal Policies and Political Economy (9 papers). The work is most often cited by research in Numerical Analysis (62 citations), Applied Mathematics (119 citations) and General Economics, Econometrics and Finance (74 citations). Petr Stehlík has collaborated with scholars based in Czechia, Australia and United States. Frequent co-authors include Jan Libich, Antonín Slavík, Liam J. A. Lenten, Andrew Hughes Hallett, Zdeněk Jegla, Sin Yong Teng, Vítězslav Máša, Bing Shen How, ChangKyoo Yoo and Martin Pavlas. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Energy.

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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