Milan Stehlík

1.3k citations
101 papers · 821 indexed · h-index 17
Topics
Advanced Statistical Methods and Models (19 papers)Optimal Experimental Design Methods (19 papers)Statistical Distribution Estimation and Applications (17 papers)
Journals
SHILAP Revista de lepidopterologíaThe Science of The Total EnvironmentStatistics in Medicine
Partner nations
AustriaChileSlovakia

In The Last Decade

Milan Stehlík

87 papers receiving 795 citations

Peers

Milan Stehlík
Comparison fields: 5 of 111
  • Statistics and Probability 243
  • Management Science and Operations Research 204
  • Artificial Intelligence 160
  • Statistics, Probability and Uncertainty 142
  • Finance 137
Replace Clémentine Prieur with:
Clémentine Prieur France
Peter C. Kiessler United States
M.D. Jiménez–Gamero Spain
Graciela González–Farías Mexico
Juan Romo Spain
Javier E. Contreras‐Reyes Chile
‎M‎ohammad Arashi Iran
M. Bhaskara Rao United States
Piotr Jaworski Poland
Edward Carlstein United States
Milan Stehlík relative to Clémentine Prieur France Clémentine Prieur's profile →
Citations per field
00.5×1.5×
Clémentine Prieur · 1×
Citations per year

Countries citing papers authored by Milan Stehlík

Since Specialization
Citations

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

Fields of papers citing papers by Milan Stehlík

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Stehlík

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Stehlík. A scholar is included among the top collaborators of Milan 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 Milan Stehlík. Milan 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 3
2 0
3 6
4 1
5 0
6 1
7 4
8 4
9 2
10 3
11 3
12 11
13 11
14
I-divergence based testing with applications to reliability and physics
1
15 19
16 3
17 15
18 4
19 3
20
Diffusion approximation of the kinetic equation for the cosmic ray particles distribution function.
0

About Milan Stehlík

Milan Stehlík is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 101 papers that have together received 821 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (19 papers), Optimal Experimental Design Methods (19 papers) and Statistical Distribution Estimation and Applications (17 papers). The work is most often cited by research in Statistics and Probability (243 citations), Statistics, Probability and Uncertainty (142 citations) and Management Science and Operations Research (204 citations). Milan Stehlík has collaborated with scholars based in Austria, Chile and Slovakia. Frequent co-authors include Jozef Kiseľák, Werner G. Müller, Ying Lü, P Szépe, Ján Švihra, Jan Beran, Måns Thulin, Jiří Dušek, Juan M. Rodríguez‐Díaz and Sándor Baran. Their work appears in journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Statistics in Medicine.

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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