R. L. Eubank

5.8k total citations · 1 hit paper
84 papers, 4.1k citations indexed

About

R. L. Eubank is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Mechanics. According to data from OpenAlex, R. L. Eubank has authored 84 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Statistics and Probability, 14 papers in Management Science and Operations Research and 12 papers in Computational Mechanics. Recurrent topics in R. L. Eubank's work include Advanced Statistical Methods and Models (41 papers), Statistical Methods and Inference (35 papers) and Statistical Distribution Estimation and Applications (11 papers). R. L. Eubank is often cited by papers focused on Advanced Statistical Methods and Models (41 papers), Statistical Methods and Inference (35 papers) and Statistical Distribution Estimation and Applications (11 papers). R. L. Eubank collaborates with scholars based in United States, South Korea and Austria. R. L. Eubank's co-authors include M. C. Jones, Saad T. Bakir, Clifford H. Spiegelman, Hans‐Georg Müller, Jeffrey D. Hart, Paul L. Speckman, V. N. LaRiccia, Miklós Csörgő, Suojin Wang and Douglas Nychka and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

R. L. Eubank

81 papers receiving 3.8k citations

Hit Papers

Spline Smoothing and Nonparametric Regression. 1989 2026 2001 2013 1989 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. L. Eubank United States 28 2.4k 695 510 429 418 84 4.1k
Peter Hall Australia 36 3.1k 1.3× 1.2k 1.7× 366 0.7× 322 0.8× 361 0.9× 108 4.6k
Ricardo A. Maronna Argentina 23 2.8k 1.1× 727 1.0× 406 0.8× 1.3k 3.1× 358 0.9× 61 4.7k
R. Douglas Martin United States 23 2.2k 0.9× 1.4k 2.1× 767 1.5× 995 2.3× 543 1.3× 77 5.3k
Pascal Massart France 27 2.0k 0.8× 1.4k 2.0× 356 0.7× 281 0.7× 373 0.9× 59 4.2k
Muni S. Srivastava Canada 33 2.6k 1.1× 943 1.4× 207 0.4× 573 1.3× 383 0.9× 164 4.4k
Frédéric Ferraty France 32 3.3k 1.3× 1.5k 2.1× 545 1.1× 315 0.7× 288 0.7× 59 4.3k
Frank R. Hampel Switzerland 17 3.6k 1.5× 819 1.2× 442 0.9× 1.6k 3.8× 436 1.0× 33 6.2k
Keith Knight Canada 21 2.1k 0.9× 828 1.2× 380 0.7× 204 0.5× 306 0.7× 37 4.2k
P. R. Krishnaiah United States 32 1.7k 0.7× 716 1.0× 224 0.4× 275 0.6× 384 0.9× 149 3.7k
É. A. Nadaraya Georgia 6 1.4k 0.6× 805 1.2× 376 0.7× 238 0.6× 280 0.7× 24 3.0k

Countries citing papers authored by R. L. Eubank

Since Specialization
Citations

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

Fields of papers citing papers by R. L. Eubank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. L. Eubank

This figure shows the co-authorship network connecting the top 25 collaborators of R. L. Eubank. A scholar is included among the top collaborators of R. L. Eubank 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. L. Eubank. R. L. Eubank 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.
Eubank, R. L. & Tailen Hsing. (2007). Canonical correlation for stochastic processes. Stochastic Processes and their Applications. 118(9). 1634–1661. 34 indexed citations
2.
Eubank, R. L., et al.. (2007). Some properties of canonical correlations and variates in infinite dimensions. Journal of Multivariate Analysis. 99(6). 1083–1104. 17 indexed citations
3.
Eubank, R. L., Chin‐Shang Li, & Suojin Wang. (2005). TESTING LACK-OF-FIT OF PARAMETRIC REGRESSION MODELS USING NONPARAMETRIC REGRESSION TECHNIQUES. Statistica Sinica. 15(1). 135–152. 10 indexed citations
4.
Eubank, R. L.. (2005). A Kalman Filter Primer (Statistics: Textbooks and Monographs). 4 indexed citations
5.
Eubank, R. L. & Suojin Wang. (2002). The Equivalence Between the Cholesky Decomposition and the Kalman Filter. The American Statistician. 56(1). 39–43. 8 indexed citations
6.
Eubank, R. L., et al.. (1998). Estimation in partially linear models. Computational Statistics & Data Analysis. 29(1). 27–34. 39 indexed citations
7.
Eubank, R. L. & Suojin Wang. (1994). Confidence regions in non-parametric regression. Scandinavian Journal of Statistics. 21(2). 147–157. 12 indexed citations
8.
Eubank, R. L.. (1994). A Simple Smoothing Spline. The American Statistician. 48(2). 103–103. 2 indexed citations
9.
Eubank, R. L.. (1994). A Simple Smoothing Spline. The American Statistician. 48(2). 103–106. 11 indexed citations
10.
Eubank, R. L. & Paul L. Speckman. (1993). Confidence Bands in Nonparametric Regression. Journal of the American Statistical Association. 88(424). 1287–1301. 125 indexed citations
11.
Eubank, R. L. & Jeffrey D. Hart. (1993). Commonality of cusum, von Neumann and smoothing-based goodness-of-fit tests. Biometrika. 80(1). 89–98. 40 indexed citations
12.
Eubank, R. L., V. N. LaRiccia, & Rebecca B. Rosenstein. (1992). Testing symmetry about an unknown median, via linear rank procedures. Journal of nonparametric statistics. 1(4). 301–311. 15 indexed citations
13.
Eubank, R. L., Jeffrey D. Hart, & Paul L. Speckman. (1990). Trigonometric series regression estimators with an application to partially linear models. Journal of Multivariate Analysis. 32(1). 70–83. 32 indexed citations
14.
Eubank, R. L. & V. N. LaRiccia. (1990). Components of Pearson's Phi-Squared Distance Measure for thek-Sample Problem. Journal of the American Statistical Association. 85(410). 441–445. 1 indexed citations
15.
Eubank, R. L. & Hans‐Georg Müller. (1990). Nonparametric Regression Analysis of Longitudinal Data. Technometrics. 32(2). 220–220. 269 indexed citations
16.
Eubank, R. L., V. N. LaRiccia, & Rebecca B. Rosenstein. (1987). Test Statistics Derived as Components of Pearson's Phi-Squared Distance Measure. Journal of the American Statistical Association. 82(399). 816–825. 30 indexed citations
17.
Eubank, R. L.. (1984). On the relationship between functions with the same optimal knots in spline and piecewise polynomial approximation. Journal of Approximation Theory. 40(4). 327–332. 1 indexed citations
18.
Eubank, R. L.. (1984). The hat matrix for smoothing splines. Statistics & Probability Letters. 2(1). 9–14. 30 indexed citations
19.
Eubank, R. L.. (1983). A note on optimal and robust spacing selection. Communication in Statistics- Theory and Methods. 12(21). 2483–2491. 1 indexed citations
20.
Eubank, R. L.. (1981). Estimation of the parameters and quantiles of the logistic distribution by linear functions of sample quantiles. Scandinavian Actuarial Journal. 1981(4). 229–236. 3 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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