Russell A. Boyles

1.6k total citations
24 papers, 1.2k citations indexed

About

Russell A. Boyles is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Russell A. Boyles has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 10 papers in Statistics, Probability and Uncertainty and 3 papers in Management Science and Operations Research. Recurrent topics in Russell A. Boyles's work include Advanced Statistical Methods and Models (9 papers), Advanced Statistical Process Monitoring (9 papers) and Statistical Distribution Estimation and Applications (7 papers). Russell A. Boyles is often cited by papers focused on Advanced Statistical Methods and Models (9 papers), Advanced Statistical Process Monitoring (9 papers) and Statistical Distribution Estimation and Applications (7 papers). Russell A. Boyles collaborates with scholars based in United States and Australia. Russell A. Boyles's co-authors include Francisco J. Samaniego, William A. Gardner, Albert W. Marshall, Frank Proschan, Bartholomew P.K. Leung, Norma F. Hubele, Samuel Kotz, Fred Spiring, John S. Ramberg and R. J. Rudy and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and IEEE Transactions on Information Theory.

In The Last Decade

Russell A. Boyles

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Russell A. Boyles United States 14 864 515 340 227 138 24 1.2k
Ilya Gertsbakh Israel 22 545 0.6× 665 1.3× 200 0.6× 136 0.6× 135 1.0× 91 1.7k
Jong‐Wuu Wu Taiwan 22 530 0.6× 743 1.4× 363 1.1× 57 0.3× 110 0.8× 67 1.2k
Andrew F. Seila United States 14 167 0.2× 156 0.3× 322 0.9× 50 0.2× 66 0.5× 43 777
S. N. U. A. Kirmani United States 16 356 0.4× 694 1.3× 213 0.6× 154 0.7× 33 0.2× 55 1.1k
Savaş Dayanik United States 15 299 0.3× 168 0.3× 468 1.4× 54 0.2× 76 0.6× 34 1.1k
J. D. Esary United States 15 551 0.6× 1.1k 2.2× 903 2.7× 29 0.1× 80 0.6× 22 2.2k
Bernd Heidergott Netherlands 18 66 0.1× 216 0.4× 330 1.0× 186 0.8× 163 1.2× 95 1.2k
Yuhan Liu China 14 171 0.2× 702 1.4× 572 1.7× 22 0.1× 201 1.5× 42 1.1k
S.P. Sharma India 17 264 0.3× 198 0.4× 254 0.7× 63 0.3× 240 1.7× 41 1.1k
Shigeru Yamada Japan 28 258 0.3× 957 1.9× 109 0.3× 25 0.1× 74 0.5× 257 4.0k

Countries citing papers authored by Russell A. Boyles

Since Specialization
Citations

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

Fields of papers citing papers by Russell A. Boyles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell A. Boyles. 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 Russell A. Boyles. The network helps show where Russell A. Boyles may publish in the future.

Co-authorship network of co-authors of Russell A. Boyles

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

All Works

20 of 20 papers shown
1.
Boyles, Russell A.. (2008). The Role of Likelihood in Interval Estimation. The American Statistician. 62(1). 22–26. 10 indexed citations
2.
Kotz, Samuel, Norman L. Johnson, Norma F. Hubele, et al.. (2002). Process Capability Indices - A Review, 1992-2000 (With Subsequent Discussions and Response). 34. 16 indexed citations
3.
Boyles, Russell A.. (2002). Discussion. Journal of Quality Technology. 34(1). 43–44. 3 indexed citations
4.
Boyles, Russell A.. (2000). Phase I Analysis for Autocorrelated Processes. Journal of Quality Technology. 32(4). 395–409. 36 indexed citations
5.
Boyles, Russell A.. (1997). Using the chi-square statistic to monitor compositional process data. Journal of Applied Statistics. 24(5). 589–602. 15 indexed citations
6.
Boyles, Russell A.. (1997). Estimating Common-Cause Sigma in the Presence of Special Causes. Journal of Quality Technology. 29(4). 381–395. 14 indexed citations
7.
Boyles, Russell A.. (1996). Multivariate Process Analysis With Lattice Data. Technometrics. 38(1). 37–49. 7 indexed citations
8.
Boyles, Russell A.. (1996). Exploratory Capability Analysis. Journal of Quality Technology. 28(1). 91–98. 16 indexed citations
9.
Boyles, Russell A.. (1994). Brocess capability with asymmetric tolerances. Communications in Statistics - Simulation and Computation. 23(3). 615–635. 260 indexed citations
10.
Boyles, Russell A.. (1991). The Taguchi Capability Index. Journal of Quality Technology. 23(1). 17–26. 444 indexed citations
11.
Boyles, Russell A. & Francisco J. Samaniego. (1987). On Estimating Component Reliability for Systems with Random Redundancy Levels. IEEE Transactions on Reliability. R-36(4). 403–407. 9 indexed citations
12.
Boyles, Russell A. & Francisco J. Samaniego. (1986). Estimating a Distribution Function Based on Nomination Sampling. Journal of the American Statistical Association. 81(396). 1039–1045. 30 indexed citations
13.
Boyles, Russell A. & Francisco J. Samaniego. (1986). Estimating a Distribution Function Based on Nomination Sampling. Journal of the American Statistical Association. 81(396). 1039–1039. 13 indexed citations
14.
Boyles, Russell A. & Francisco J. Samaniego. (1984). Modeling and Inference for Multivariate Binary Data with Positive Dependence. Journal of the American Statistical Association. 79(385). 188–193. 3 indexed citations
15.
Boyles, Russell A. & Francisco J. Samaniego. (1984). Estimating a Survival Curve when New Is Better Than Used. Operations Research. 32(3). 732–740. 12 indexed citations
16.
Boyles, Russell A. & Francisco J. Samaniego. (1984). Modeling and Inference for Multivariate Binary Data with Positive Dependence. Journal of the American Statistical Association. 79(385). 188–188. 1 indexed citations
17.
Boyles, Russell A. & Francisco J. Samaniego. (1983). Maximum Likelihood Estimation for a Discrete Multivariate Shock Model. Journal of the American Statistical Association. 78(382). 445–448. 6 indexed citations
18.
Boyles, Russell A. & William A. Gardner. (1983). Cycloergodic properties of discrete- parameter nonstationary stochastic processes. IEEE Transactions on Information Theory. 29(1). 105–114. 44 indexed citations
19.
Boyles, Russell A. & Francisco J. Samaniego. (1983). Maximum Likelihood Estimation for a Discrete Multivariate Shock Model. Journal of the American Statistical Association. 78(382). 445–445. 3 indexed citations
20.
Boyles, Russell A.. (1983). On the Convergence of the EM Algorithm. Journal of the Royal Statistical Society Series B (Statistical Methodology). 45(1). 47–50. 220 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.

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