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.
On Gibbs sampling for state space models
19941.3k citationsChris Carter, Robert Kohnprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Robert Kohn'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 Robert Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Kohn more than expected).
This network shows the impact of papers produced by Robert Kohn. 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 Robert Kohn. The network helps show where Robert Kohn may publish in the future.
Co-authorship network of co-authors of Robert Kohn
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Kohn.
A scholar is included among the top collaborators of Robert Kohn 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 Robert Kohn. Robert Kohn is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Quiroz, Matias, et al.. (2018). Subsampling MCMC - A review for the survey statistician. arXiv (Cornell University).1 indexed citations
5.
Quiroz, Matias, et al.. (2018). On some variance reduction properties of the reparameterization trick.. arXiv (Cornell University).1 indexed citations
6.
Kohn, Robert, et al.. (2017). The Approximation Properties of Copulas by Mixtures. arXiv (Cornell University).1 indexed citations
7.
Moral, Pierre Del, Robert Kohn, & Frédéric Patras. (2014). On Feynman-Kac and particle Markov chain Monte Carlo models. arXiv (Cornell University).1 indexed citations
8.
Mendes, Eduardo, Chris Carter, David Gunawan, & Robert Kohn. (2014). Flexible Particle Markov chain Monte Carlo methods with an application to a factor stochastic volatility model. arXiv (Cornell University).
9.
Mendes, Eduardo, Chris Carter, & Robert Kohn. (2014). On general sampling schemes for Particle Markov chain Monte Carlo methods. arXiv (Cornell University).2 indexed citations
Pitt, M., Ralph Silva, Paolo Giordani, & Robert Kohn. (2012). On Some Properties of Markov Chain Monte Carlo Simulation Methods Based on the Particle Filter. SSRN Electronic Journal.4 indexed citations
Kohn, Robert. (1977). An example concerning approximate differentiation. Indiana University Mathematics Journal. 26. 393–397.6 indexed citations
20.
Novák, Martin, et al.. (1959). Effect of nutrition on cholesterol and phospholipid levels in infants.. 13. 538–543.
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.