J. T. Webster

1.3k total citations
35 papers, 915 citations indexed

About

J. T. Webster is a scholar working on Statistics and Probability, Management Science and Operations Research and Analytical Chemistry. According to data from OpenAlex, J. T. Webster has authored 35 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Management Science and Operations Research and 5 papers in Analytical Chemistry. Recurrent topics in J. T. Webster's work include Advanced Statistical Methods and Models (14 papers), Optimal Experimental Design Methods (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). J. T. Webster is often cited by papers focused on Advanced Statistical Methods and Models (14 papers), Optimal Experimental Design Methods (8 papers) and Spectroscopy and Chemometric Analyses (5 papers). J. T. Webster collaborates with scholars based in United States and Ethiopia. J. T. Webster's co-authors include Richard F. Gunst, Robert Mason, James M. Davenport, Marvin Lentner, J. N. K. Rao, Edward R. Mansfield, Hrishikesh D. Vinod, Aman Ullah, Michael Ames and Michael D. Conerly and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Marketing and Technometrics.

In The Last Decade

J. T. Webster

32 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. T. Webster United States 16 436 163 123 109 73 35 915
Paul I. Feder United States 19 311 0.7× 110 0.7× 29 0.2× 217 2.0× 123 1.7× 75 1.4k
Bruce Hoadley United States 10 255 0.6× 141 0.9× 30 0.2× 105 1.0× 88 1.2× 15 572
J. A. John United Kingdom 22 465 1.1× 147 0.9× 63 0.5× 926 8.5× 110 1.5× 80 2.0k
Mariano J. Valderrama Spain 20 543 1.2× 155 1.0× 197 1.6× 97 0.9× 203 2.8× 56 1.2k
Randall Brooks United Kingdom 12 280 0.6× 92 0.6× 171 1.4× 115 1.1× 95 1.3× 31 782
Saad T. Bakir United States 12 518 1.2× 447 2.7× 24 0.2× 144 1.3× 86 1.2× 20 994
Harold Hotelling United States 8 223 0.5× 53 0.3× 37 0.3× 69 0.6× 98 1.3× 16 943
Spencer Graves United States 9 167 0.4× 79 0.5× 40 0.3× 60 0.6× 109 1.5× 24 795
Yasuo Amemiya United States 19 566 1.3× 58 0.4× 34 0.3× 255 2.3× 155 2.1× 45 1.3k
Uwe Jensen Germany 23 328 0.8× 252 1.5× 26 0.2× 134 1.2× 62 0.8× 91 1.6k

Countries citing papers authored by J. T. Webster

Since Specialization
Citations

This map shows the geographic impact of J. T. Webster'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 J. T. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. T. Webster more than expected).

Fields of papers citing papers by J. T. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. T. Webster

This figure shows the co-authorship network connecting the top 25 collaborators of J. T. Webster. A scholar is included among the top collaborators of J. T. Webster 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 J. T. Webster. J. T. Webster 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.
Ames, Michael & J. T. Webster. (1991). On Estimating Approximate Degrees of Freedom. The American Statistician. 45(1). 45–45. 9 indexed citations
2.
Webster, J. T., et al.. (1990). Experimental Design and Analysis. Technometrics. 32(1). 95–95. 76 indexed citations
3.
Conerly, Michael D. & J. T. Webster. (1987). MINQE for the One-Way Classification. Technometrics. 29(2). 229–229. 8 indexed citations
4.
Lévy, Michael, J. T. Webster, & Roger A. Kerin. (1983). Formulating Push Marketing Strategies: A Method and Application. Journal of Marketing. 47(1). 25–34. 19 indexed citations
5.
Webster, J. T., Hrishikesh D. Vinod, & Aman Ullah. (1983). Recent Advances in Regression Methods. Technometrics. 25(2). 215–215. 49 indexed citations
6.
Webster, J. T., et al.. (1983). Guidelines for Variable Selection Problems When Dummy Variables are Used. The American Statistician. 37(4a). 337–339. 2 indexed citations
7.
Mansfield, Edward R., J. T. Webster, & Richard F. Gunst. (1977). An Analytic Variable Selection Technique for Principal Component Regression. Journal of the Royal Statistical Society Series C (Applied Statistics). 26(1). 34–34. 51 indexed citations
8.
Gunst, Richard F., J. T. Webster, & Robert Mason. (1976). A Comparison of Least Squares and Latent Root Regression Estimators. Technometrics. 18(1). 75–75. 49 indexed citations
9.
Gunst, Richard F. & J. T. Webster. (1975). Regression analysis and problems of multicollinearity. Communications in Statistics. 4(3). 277–292. 112 indexed citations
10.
Webster, J. T., Richard F. Gunst, & Robert Mason. (1974). Latent Root Regression Analysis. Technometrics. 16(4). 513–513. 34 indexed citations
11.
Gunst, Richard F. & J. T. Webster. (1973). Density functions of the bivariate chi-square distribution. Journal of Statistical Computation and Simulation. 2(3). 275–288. 32 indexed citations
12.
Davenport, James M. & J. T. Webster. (1973). A Comparison of Some Approximate F-Tests. Technometrics. 15(4). 779–779. 9 indexed citations
13.
Webster, J. T.. (1973). Engineering Statistics, 2nd edition. Technometrics. 15(4). 939–940. 1 indexed citations
14.
Webster, J. T., et al.. (1972). The Use of an F -Statistic in Stepwise Regression Procedures. Technometrics. 14(2). 327–340. 94 indexed citations
15.
Davenport, James M. & J. T. Webster. (1972). Type-I Error and Power of a Test Involving a Satterthwaite's Approximate F-Statistic. Technometrics. 14(3). 555–569. 13 indexed citations
16.
Webster, J. T.. (1970). On the application of the method of Das in evaluating a multivariate normal integral. Biometrika. 57(3). 657–660. 4 indexed citations
17.
Reisch, Joan & J. T. Webster. (1969). The Power of a Test in Covariance Analysis. Biometrics. 25(4). 701–701. 1 indexed citations
18.
Webster, J. T.. (1968). An APP roximate F -statistic. Technometrics. 10(3). 597–604. 3 indexed citations
19.
Webster, J. T., et al.. (1966). On Dependent Tests from a Non-Orthogonal Design. Journal of the American Statistical Association. 61(315). 803–812. 2 indexed citations
20.
Webster, J. T., et al.. (1966). On Dependent Tests from a Non-Orthogonal Design. Journal of the American Statistical Association. 61(315). 803–803.

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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