R. H. Farrell

710 total citations
21 papers, 366 citations indexed

About

R. H. Farrell is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, R. H. Farrell has authored 21 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in R. H. Farrell's work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Advanced Statistical Methods and Models (3 papers). R. H. Farrell is often cited by papers focused on Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (6 papers) and Advanced Statistical Methods and Models (3 papers). R. H. Farrell collaborates with scholars based in United States and Ireland. R. H. Farrell's co-authors include Lawrence D. Brown and Declan M. Devine and has published in prestigious journals such as The Annals of Statistics, Proceedings of the American Mathematical Society and Probability Theory and Related Fields.

In The Last Decade

R. H. Farrell

21 papers receiving 237 citations

Peers

Countries citing papers authored by R. H. Farrell

Since Specialization

Citations

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

Fields of papers citing papers by R. H. Farrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. H. Farrell. 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 R. H. Farrell. The network helps show where R. H. Farrell may publish in the future.

Co-authorship network of co-authors of R. H. Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of R. H. Farrell. A scholar is included among the top collaborators of R. H. Farrell 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 R. H. Farrell. R. H. Farrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Reusable packaging: The impact of repeated use on the visual quality, properties and food contact safety of plastic packaging materials 2025 ·Cleaner Materials ·R. H. Farrell, (unknown), (unknown), (unknown), (unknown), (unknown)	1
2	The function and properties of common food packaging materials and their suitability for reusable packaging: The transition from a linear to circular economy 2024 ·Current Research in Green and Sustainable Chemistry ·R. H. Farrell, (unknown), Declan M. Devine, (unknown), (unknown), (unknown), (unknown)	9
3	Proof of a necessary and sufficient condition for admissibility in discrete multivariate problems 1988 ·Journal of Multivariate Analysis ·Lawrence D. Brown, R. H. Farrell	2
4	Complete Class Theorems for Estimation of Multivariate Poisson Means and Related Problems 1985 ·The Annals of Statistics ·Lawrence D. Brown, R. H. Farrell	7
5	All Admissible Linear Estimators of a Multivariate Poisson Mean 1985 ·The Annals of Statistics ·Lawrence D. Brown, R. H. Farrell	9
6	Asymptotic lower bounds for the risk of estimators of the value of a spectral density function 1979 ·Probability Theory and Related Fields ·R. H. Farrell	11
7	On the Best Obtainable Asymptotic Rates of Convergence in Estimation of a Density Function at a Point 1972 ·The Annals of Mathematical Statistics ·R. H. Farrell	104
8	The necessity that a conditional decision procedure be almost everywhere admissible 1971 ·Probability Theory and Related Fields ·R. H. Farrell	1
9	On the Bayes Character of a Standard Model II Analysis of Variance Test 1969 ·The Annals of Mathematical Statistics ·R. H. Farrell	2
10	On a Necessary and Sufficient Condition for Admissibility of Estimators When Strictly Convex Loss is Used 1968 ·The Annals of Mathematical Statistics ·R. H. Farrell	16
11	Towards a Theory of Generalized Bayes Tests 1968 ·The Annals of Mathematical Statistics ·R. H. Farrell	29
12	On the Admissibility at $\infty$, Within the Class of Randomized Designs, of Balanced Designs 1968 ·The Annals of Mathematical Statistics ·R. H. Farrell	1
13	On the Lack of a Uniformly Consistent Sequence of Estimators of a Density Function in Certain Cases 1967 ·The Annals of Mathematical Statistics ·R. H. Farrell	13
14	Bounded Length Confidence Intervals for the $p$-Point of a Distribution Function, II 1966 ·The Annals of Mathematical Statistics ·R. H. Farrell	5
15	Estimators of a Location Parameter in the Absolutely Continuous Case 1964 ·The Annals of Mathematical Statistics ·R. H. Farrell	46
16	Asymptotic Behavior of Expected Sample Size in Certain One Sided Tests 1964 ·The Annals of Mathematical Statistics ·R. H. Farrell	26
17	Limit Theorems for Stopped Random Walks 1964 ·The Annals of Mathematical Statistics ·R. H. Farrell	17
18	Representation of invariant measures 1962 ·Illinois Journal of Mathematics ·R. H. Farrell	41
19	Dense algebras of functions in 𝐿_{𝑝} 1962 ·Proceedings of the American Mathematical Society ·R. H. Farrell	3
20	Bounded Length Confidence Intervals for the Zero of a Regression Function 1962 ·The Annals of Mathematical Statistics ·R. H. Farrell	14

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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