Countries citing papers authored by W.C.M. Kallenberg
Since
Specialization
Citations
This map shows the geographic impact of W.C.M. Kallenberg'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 W.C.M. Kallenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.C.M. Kallenberg more than expected).
Fields of papers citing papers by W.C.M. Kallenberg
This network shows the impact of papers produced by W.C.M. Kallenberg. 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 W.C.M. Kallenberg. The network helps show where W.C.M. Kallenberg may publish in the future.
Co-authorship network of co-authors of W.C.M. Kallenberg
This figure shows the co-authorship network connecting the top 25 collaborators of W.C.M. Kallenberg.
A scholar is included among the top collaborators of W.C.M. Kallenberg 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 W.C.M. Kallenberg. W.C.M. Kallenberg is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Albers, Willem & W.C.M. Kallenberg. (2005). Control charts in new perspective. University of Twente Research Information.2 indexed citations
3.
Albers, Willem & W.C.M. Kallenberg. (2004). Alternative Shewhart-type charts for grouped observations. METRON. 357–375.10 indexed citations
4.
Albers, Willem, W.C.M. Kallenberg, & Sri Nurdiati. (2003). Normal, parametric and nonparametric control charts, a data driven choice. University of Twente Research Information.3 indexed citations
5.
Albers, Willem & W.C.M. Kallenberg. (2001). Are estimated control charts in control. University of Twente Research Information.4 indexed citations
6.
Inglot, Tadeusz & W.C.M. Kallenberg. (2001). Moderate deviations of minimum contrast estimators under contamination. University of Twente Research Information.1 indexed citations
7.
Kallenberg, W.C.M.. (2000). The penalty in data driven Neyman's tests. Mathematical Methods of Statistics. 11. 323–340.12 indexed citations
8.
Kallenberg, W.C.M. & Teresa Ledwina. (1999). Data-Driven Rank Tests for Independence. Journal of the American Statistical Association. 94(445). 285–301.41 indexed citations
Albers, Willem, et al.. (1995). Accurate Test Limits Under Nonnormal Measurement Error. SSRN Electronic Journal.
13.
Kallenberg, W.C.M., et al.. (1995). Test limits for correlated measurements under prescribed consumer risk.2 indexed citations
14.
Albers, Willem, et al.. (1995). Test limits using correlated measurements. Data Archiving and Networked Services (DANS).4 indexed citations
15.
Inglot, Tadeusz, W.C.M. Kallenberg, & Teresa Ledwina. (1994). Power approximations to and power comparison of smooth goodness-of-fit tests. Scandinavian Journal of Statistics. 21(21). 131–145.19 indexed citations
16.
Kallenberg, W.C.M., et al.. (1994). Asymptotic behavior of some bilinear functionals of the empirical process. Mathematical Methods of Statistics. 1993(2). 316–336.7 indexed citations
17.
Kallenberg, W.C.M., et al.. (1994). A comparison between the use of parametric density estimators and a kernel estimator to determine test limits.1 indexed citations
18.
Kallenberg, W.C.M., et al.. (1993). On Data Driven Neyman's Tests. University of Twente Research Information. 409–426.2 indexed citations
19.
Kallenberg, W.C.M., et al.. (1992). Asymptotic behaviour of some bilinear functionals of the empirical process. Data Archiving and Networked Services (DANS).2 indexed citations
20.
Kallenberg, W.C.M.. (1984). Testing statistical hypotheses : worked solutions. Data Archiving and Networked Services (DANS). 3. 1–310.6 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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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.