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.
Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem
2000544 citationsJaroslav Ramı́k et al.Fuzzy Sets and Systemsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Jaroslav Ramı́k
Since
Specialization
Citations
This map shows the geographic impact of Jaroslav Ramı́k'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 Jaroslav Ramı́k with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaroslav Ramı́k more than expected).
This network shows the impact of papers produced by Jaroslav Ramı́k. 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 Jaroslav Ramı́k. The network helps show where Jaroslav Ramı́k may publish in the future.
Co-authorship network of co-authors of Jaroslav Ramı́k
This figure shows the co-authorship network connecting the top 25 collaborators of Jaroslav Ramı́k.
A scholar is included among the top collaborators of Jaroslav Ramı́k 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 Jaroslav Ramı́k. Jaroslav Ramı́k is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ramı́k, Jaroslav & Milan Vlach. (2013). Measuring consistency and inconsistency of pair comparison systems. Kybernetika. 49(3). 465–486.3 indexed citations
11.
Ramı́k, Jaroslav, et al.. (2012). Multicriteria Methods for Evaluating Competitiveness of Regions in V4 Countries. Silesian Digital Library (Silesian Library). 7. 169–178.3 indexed citations
12.
Ramı́k, Jaroslav. (2009). Consistency of Pair-wise Comparison Matrix with Fuzzy Elements.. European Society for Fuzzy Logic and Technology Conference. 98–101.2 indexed citations
13.
Ramı́k, Jaroslav, et al.. (2008). Fuzzy Multiobjective Methods in Multistage Decision Problems. Silesian Digital Library (Silesian Library). 3. 195–214.4 indexed citations
Ramı́k, Jaroslav & Milan Vlach. (2001). Generalized Concavity as a Basis for Optimization and Decision Analysis. JAIST Repository. 2001.2 indexed citations
Ramı́k, Jaroslav. (1999). Linear programming with inexact coefficients : some results in computational complexity. JAIST Repository. 99. 1–23.1 indexed citations
18.
Ramı́k, Jaroslav & Milan Vlach. (1997). Strong pareto optimality of compromise decisions in multi-criteria analysis. JAIST Repository. 97. 1–14.1 indexed citations
19.
Ramı́k, Jaroslav. (1997). Linear programming with inexact coefficients. JAIST Repository. 97. 1–31.1 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.