Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Discrete random signals and statistical signal processing
Countries citing papers authored by Miloslav Vošvrda
Since
Specialization
Citations
This map shows the geographic impact of Miloslav Vošvrda'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 Miloslav Vošvrda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloslav Vošvrda more than expected).
Fields of papers citing papers by Miloslav Vošvrda
This network shows the impact of papers produced by Miloslav Vošvrda. 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 Miloslav Vošvrda. The network helps show where Miloslav Vošvrda may publish in the future.
Co-authorship network of co-authors of Miloslav Vošvrda
This figure shows the co-authorship network connecting the top 25 collaborators of Miloslav Vošvrda.
A scholar is included among the top collaborators of Miloslav Vošvrda 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 Miloslav Vošvrda. Miloslav Vošvrda is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Baruník, Jozef, Lukáš Vácha, & Miloslav Vošvrda. (2010). Tail Behavior of the Central European Stock Markets during the Financial Crisis. ASEP. 4(3). 281–294.8 indexed citations
Vošvrda, Miloslav & Lukáš Vácha. (2008). Heterogeneous Agent Model And Numerical Analysis Of Learning. RePEc: Research Papers in Economics. 9(17).2 indexed citations
9.
Vošvrda, Miloslav, et al.. (2008). Sensitivity And Stability In Dynamical Economic Systems. RePEc: Research Papers in Economics. 6(9).
10.
Vošvrda, Miloslav. (2008). Markovian Model of Unemployment. RePEc: Research Papers in Economics. 2(3).1 indexed citations
11.
Vošvrda, Miloslav, et al.. (2008). The Efficient Market Hypothesis Testing on the Prague Stock Exchange. RePEc: Research Papers in Economics. 5(7).3 indexed citations
12.
Vošvrda, Miloslav. (2008). Disequilibrium model applied to the Czech Economy. RePEc: Research Papers in Economics. 3(4).
Vošvrda, Miloslav, et al.. (2006). Neo-Keynesian and Neo-Classical Macroeconomic Models: Stability and Lyapunov Exponents. RePEc: Research Papers in Economics. 14(24). 302–311.1 indexed citations
Vošvrda, Miloslav. (2001). Bifurcation Routes And Economic Stability. RePEc: Research Papers in Economics. 8(14).
20.
Vošvrda, Miloslav. (2000). Bifurcation Routes in Financial Markets. Digital Repository (National Repository of Grey Literature).2 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.