Thomas E. Wehrly

1.9k total citations
43 papers, 1.3k citations indexed

About

Thomas E. Wehrly is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Thomas E. Wehrly has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Statistics and Probability, 9 papers in Statistics, Probability and Uncertainty and 7 papers in Artificial Intelligence. Recurrent topics in Thomas E. Wehrly's work include Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (11 papers) and Statistical Methods and Bayesian Inference (10 papers). Thomas E. Wehrly is often cited by papers focused on Statistical Methods and Inference (13 papers), Advanced Statistical Methods and Models (11 papers) and Statistical Methods and Bayesian Inference (10 papers). Thomas E. Wehrly collaborates with scholars based in United States and Australia. Thomas E. Wehrly's co-authors include Jeffrey D. Hart, Richard A. Johnson, J. H. Matis, Peter Hall, N. Giri, Eileen King, Alan H. Dorfman, Raymond L. Chambers, W. C. Ellis and Carl M. Metzler and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Thomas E. Wehrly

43 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Wehrly United States 19 597 321 164 108 104 43 1.3k
Richard Lockhart Canada 16 711 1.2× 297 0.9× 60 0.4× 91 0.8× 99 1.0× 68 1.4k
C. Stein United States 11 471 0.8× 242 0.8× 64 0.4× 243 2.3× 124 1.2× 12 1.4k
Brett Presnell United States 13 705 1.2× 361 1.1× 59 0.4× 111 1.0× 95 0.9× 37 1.3k
Allan Seheult United Kingdom 12 278 0.5× 255 0.8× 117 0.7× 167 1.5× 123 1.2× 22 1.5k
Sadanori Konishi Japan 20 898 1.5× 469 1.5× 75 0.5× 142 1.3× 167 1.6× 88 1.9k
Raj S. Chhikara United States 17 873 1.5× 349 1.1× 107 0.7× 396 3.7× 141 1.4× 51 1.8k
Chong Gu United States 23 1.0k 1.7× 442 1.4× 114 0.7× 166 1.5× 141 1.4× 48 2.1k
S. K. Katti United States 18 446 0.7× 227 0.7× 64 0.4× 94 0.9× 153 1.5× 44 1.3k
George R. Terrell United States 13 631 1.1× 503 1.6× 70 0.4× 141 1.3× 82 0.8× 26 1.5k
C. D. Kemp United Kingdom 18 593 1.0× 349 1.1× 49 0.3× 132 1.2× 190 1.8× 55 1.6k

Countries citing papers authored by Thomas E. Wehrly

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Wehrly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Wehrly. 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 Thomas E. Wehrly. The network helps show where Thomas E. Wehrly may publish in the future.

Co-authorship network of co-authors of Thomas E. Wehrly

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Wehrly. A scholar is included among the top collaborators of Thomas E. Wehrly 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 Thomas E. Wehrly. Thomas E. Wehrly 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.
Chen, Hsiang-Chun & Thomas E. Wehrly. (2015). Approximate uniform shrinkage prior for a multivariate generalized linear mixed model. Journal of Multivariate Analysis. 145. 148–161. 4 indexed citations
2.
Yu, Jihnhee & Thomas E. Wehrly. (2004). An approach to the residence time distribution for stochastic multi-compartment models. Mathematical Biosciences. 191(2). 185–205. 7 indexed citations
3.
Wehrly, Thomas E.. (2002). Fitting Statistical Distributions: The Generalized Lambda Distribution and Generalized Bootstrap Methods. Technometrics. 44(2). 194–194. 19 indexed citations
4.
Rudd, M. David, Thomas E. Ellis, M. Hasan Rajab, & Thomas E. Wehrly. (2000). Personality Types and Suicidal Behavior: An Exploratory Study. Suicide and Life-Threatening Behavior. 30(3). 199–212. 14 indexed citations
5.
Matis, J. H. & Thomas E. Wehrly. (1998). A General Approach to Non-Markovian Compartmental Models. Journal of Pharmacokinetics and Biopharmaceutics. 26(4). 437–456. 12 indexed citations
6.
Ellis, Thomas E., M. David Rudd, M. Hasan Rajab, & Thomas E. Wehrly. (1996). Cluster analysis of MCMI scores of suicidal psychiatric patients: Four personality profiles. Journal of Clinical Psychology. 52(4). 411–422. 21 indexed citations
7.
Hart, Jeffrey D. & Thomas E. Wehrly. (1993). Consistency of cross-validation when the data are curves. Stochastic Processes and their Applications. 45(2). 351–361. 29 indexed citations
8.
Baek, Jangsun & Thomas E. Wehrly. (1993). Kernel estimation for additive models under dependence. Stochastic Processes and their Applications. 47(1). 95–112. 8 indexed citations
9.
Hart, Jeffrey D. & Thomas E. Wehrly. (1992). Kernel Regression When the Boundary Region is Large, with an Application to Testing the Adequacy of Polynomial Models. Journal of the American Statistical Association. 87(420). 1018–1024. 41 indexed citations
10.
Hall, Peter A. & Thomas E. Wehrly. (1991). A Geometrical Method for Removing Edge Effects from Kernel-Type Nonparametric Regression Estimators. Journal of the American Statistical Association. 86(415). 665–665. 15 indexed citations
11.
Wehrly, Thomas E.. (1991). Engineering Applications of Stochastic Processes. Technometrics. 33(1). 120–120. 3 indexed citations
12.
King, Eileen, Jeffrey D. Hart, & Thomas E. Wehrly. (1991). Testing the equality of two regression curves using linear smoothers. Statistics & Probability Letters. 12(3). 239–247. 78 indexed citations
13.
Matis, J. H. & Thomas E. Wehrly. (1990). Generalized stochastic compartmental models with Erlang transit times. Journal of Pharmacokinetics and Biopharmaceutics. 18(6). 589–607. 29 indexed citations
14.
Matis, J. H., Thomas E. Wehrly, & W. C. Ellis. (1989). Some Generalized Stochastic Compartment Models for Digesta Flow. Biometrics. 45(3). 703–703. 43 indexed citations
15.
Hart, Jeffrey D. & Thomas E. Wehrly. (1986). Kernel Regression Estimation Using Repeated Measurements Data. Journal of the American Statistical Association. 81(396). 1080–1088. 165 indexed citations
16.
LaRiccia, V. N. & Thomas E. Wehrly. (1985). Asymptotic Properties of a Family of Minimum Quantile Distance Estimators. Journal of the American Statistical Association. 80(391). 742–747. 11 indexed citations
17.
Coppock, C.E., et al.. (1982). Effect of Varying Dietary Ratio of Sodium and Chloride on the Responses of Lactating Dairy Cows in Hot Weather. Journal of Dairy Science. 65(4). 552–565. 11 indexed citations
18.
Matis, J. H. & Thomas E. Wehrly. (1981). Compartmental models with multiple sources of stochastic variability: The one-compartment models with clustering. Bulletin of Mathematical Biology. 43(6). 651–664. 4 indexed citations
19.
Wehrly, Thomas E. & Richard A. Johnson. (1980). Bivariate Models for Dependence of Angular Observations and a Related Markov Process. Biometrika. 67(1). 255–255. 5 indexed citations
20.
Johnson, Richard A. & Thomas E. Wehrly. (1978). Some Angular-Linear Distributions and Related Regression Models. Journal of the American Statistical Association. 73(363). 602–602. 15 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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