W. J. Studden

6.1k total citations · 3 hit papers
59 papers, 4.2k citations indexed

About

W. J. Studden is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, W. J. Studden has authored 59 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Management Science and Operations Research, 29 papers in Computational Theory and Mathematics and 17 papers in Statistics, Probability and Uncertainty. Recurrent topics in W. J. Studden's work include Optimal Experimental Design Methods (35 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Mathematical functions and polynomials (11 papers). W. J. Studden is often cited by papers focused on Optimal Experimental Design Methods (35 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Mathematical functions and polynomials (11 papers). W. J. Studden collaborates with scholars based in United States, Germany and South Korea. W. J. Studden's co-authors include Samuel Karlin, Demetrios A. Kappos, Eugene M. Klimko, Agnes M. Herzberg, Henry P. Wynn, V. V. Fedorov, Holger Dette, Girdhar G. Agarwal, Andrew L. Rukhin and Yong Bin Lim and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

W. J. Studden

58 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

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.

Theory of Optimal Experiments.

1972 1.4k citations W. J. Studden et al. profile →
Tchebycheff Systems: With Applications in Analysis and Statistics

1967 923 citations W. J. Studden et al. profile →
Tchebycheff Systems: With Applications in Analysis and Statistics.

1967 427 citations W. J. Studden et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. J. Studden United States	24	1.9k	1.6k	887	851	549	59	4.2k
Friedrich Pukelsheim Germany	28	1.4k 0.7×	1.1k 0.7×	562 0.6×	538 0.6×	168 0.3×	108	3.6k
Donald Ylvisaker United States	17	931 0.5×	990 0.6×	777 0.9×	788 0.9×	157 0.3×	32	2.6k
J. Wolfowitz United States	32	2.1k 1.1×	1.3k 0.8×	2.0k 2.3×	766 0.9×	201 0.4×	89	7.1k
Holger Dette Germany	37	2.5k 1.3×	1.8k 1.1×	2.7k 3.1×	1.1k 1.2×	311 0.6×	394	5.7k
Bennett L. Fox United States	25	1.0k 0.5×	704 0.5×	576 0.6×	574 0.7×	74 0.1×	69	4.1k
Pierre L’Ecuyer Canada	46	1.6k 0.8×	1.7k 1.1×	981 1.1×	549 0.6×	134 0.2×	276	7.7k
Albert N. Shiryaev Russia	35	1.8k 0.9×	524 0.3×	1.8k 2.0×	825 1.0×	776 1.4×	159	10.1k
Paul Dupuis United States	37	1.1k 0.6×	827 0.5×	814 0.9×	199 0.2×	436 0.8×	113	5.3k
Michel Loève Canada	9	935 0.5×	518 0.3×	1.3k 1.4×	759 0.9×	476 0.9×	12	5.3k
C. C. Heyde Australia	32	1.9k 1.0×	417 0.3×	2.4k 2.8×	313 0.4×	361 0.7×	187	8.0k

Countries citing papers authored by W. J. Studden

Since Specialization

Citations

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

Fields of papers citing papers by W. J. Studden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. J. Studden. 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. J. Studden. The network helps show where W. J. Studden may publish in the future.

Co-authorship network of co-authors of W. J. Studden

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dette, Holger & W. J. Studden. (2005). A note on the maximization of matrix valued Hankel determinants with applications. Journal of Computational and Applied Mathematics. 177(1). 129–140.

Dette, Holger & W. J. Studden. (2004). A note on the maximization of matrix valued Hankel determinants with applications. Journal of Computational and Applied Mathematics. 177(1). 129–140. 1 indexed citations

Dette, Holger & W. J. Studden. (2002). Matrix measures, moment spaces and Favard's theorem for the interval [0,1] and [0,∞). Linear Algebra and its Applications. 345(1-3). 169–193. 36 indexed citations

Lim, Yong Bin, Jerome Sacks, W. J. Studden, & William J. Welch. (2002). Design and analysis of computer experiments when the output is highly correlated over the input space. Canadian Journal of Statistics. 30(1). 109–126. 30 indexed citations

Dette, Holger & W. J. Studden. (1996). How many random walks correspond to a given set of return probabilities to the origin?. Stochastic Processes and their Applications. 64(1). 17–30. 1 indexed citations

Dette, Holger & W. J. Studden. (1995). Some new asymptotic properties for the zeros of Jacobi, Laguerre, and Hermite polynomials. Constructive Approximation. 11(2). 227–238. 39 indexed citations

Huang, Su‐Yun & W. J. Studden. (1993). Density estimation using spline projection kernels. Communication in Statistics- Theory and Methods. 22(11). 3263–3285. 5 indexed citations

Dette, Holger & W. J. Studden. (1992). On a new characterization of the classical orthogonal polynomials. Journal of Approximation Theory. 71(1). 3–17. 13 indexed citations

Dasgupta, Anirban, Saurabh Mukhopadhyay, & W. J. Studden. (1992). Compromise designs in heteroscedastic linear models. Journal of Statistical Planning and Inference. 32(3). 363–384. 8 indexed citations

10.

McDonald, Gary C. & W. J. Studden. (1990). Design Aspects of Regression-Based Ratio Estimation. Technometrics. 32(4). 417–424. 1 indexed citations

11.

Studden, W. J.. (1989). Note on some $\phi_p$-Optimal Designs for Polynomial Regression. The Annals of Statistics. 17(2). 17 indexed citations

12.

Studden, W. J., et al.. (1988). On an extremal problem of Fejér. Journal of Approximation Theory. 53(2). 184–194. 12 indexed citations

13.

Spiegelman, Clifford H. & W. J. Studden. (1980). Design aspects of Scheffe's calibration theory using linear splines. Journal of Research of the National Bureau of Standards. 85(4). 295–295. 6 indexed citations

14.

Studden, W. J.. (1980). On a problem of Chebyshev. Journal of Approximation Theory. 29(3). 253–260. 4 indexed citations

15.

Agarwal, Girdhar G. & W. J. Studden. (1980). Asymptotic Integrated Mean Square Error Using Least Squares and Bias Minimizing Splines. The Annals of Statistics. 8(6). 100 indexed citations

16.

Spruill, M. C. & W. J. Studden. (1979). A Kiefer-Wolfowitz Theorem in a Stochastic Process Setting. The Annals of Statistics. 7(6). 5 indexed citations

17.

Studden, W. J., et al.. (1978). Optimum designs when the observations are second-order processes. Journal of Multivariate Analysis. 8(2). 153–172. 6 indexed citations

18.

Agarwal, Girdhar G. & W. J. Studden. (1978). Asymptotic design and estimation using linear splines. Communications in Statistics - Simulation and Computation. 7(4). 309–319. 6 indexed citations

19.

Kiefer, J. & W. J. Studden. (1976). Optimal Designs for Large Degree Polynomial Regression. The Annals of Statistics. 4(6). 24 indexed citations

20.

Studden, W. J.. (1971). Optimal Designs for Multivariate Polynomial Extrapolation. The Annals of Mathematical Statistics. 42(2). 828–832. 11 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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