William J. Hemmerle

687 total citations
23 papers, 490 citations indexed

About

William J. Hemmerle is a scholar working on Statistics and Probability, Control and Systems Engineering and Applied Mathematics. According to data from OpenAlex, William J. Hemmerle has authored 23 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 8 papers in Control and Systems Engineering and 5 papers in Applied Mathematics. Recurrent topics in William J. Hemmerle's work include Advanced Statistical Methods and Models (6 papers), Statistical and numerical algorithms (5 papers) and Control Systems and Identification (5 papers). William J. Hemmerle is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Statistical and numerical algorithms (5 papers) and Control Systems and Identification (5 papers). William J. Hemmerle collaborates with scholars based in United States and Canada. William J. Hemmerle's co-authors include H. O. Hartley, E. G. Fuller, John W. Hamblen and T. A. Bancroft and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Communications of the ACM.

In The Last Decade

William J. Hemmerle

22 papers receiving 427 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William J. Hemmerle United States 11 249 93 78 50 43 23 490
J. Kleffe Germany 11 270 1.1× 58 0.6× 87 1.1× 55 1.1× 25 0.6× 35 504
Martin Schatzoff United States 10 347 1.4× 132 1.4× 81 1.0× 40 0.8× 60 1.4× 24 669
Heinz Linhart South Africa 7 357 1.4× 94 1.0× 80 1.0× 21 0.4× 24 0.6× 22 777
C. M. Theobald United Kingdom 12 210 0.8× 73 0.8× 27 0.3× 47 0.9× 36 0.8× 29 488
Sudhir Gupta United States 9 412 1.7× 81 0.9× 216 2.8× 51 1.0× 42 1.0× 40 706
Wing–Kam Fung Hong Kong 13 358 1.4× 104 1.1× 50 0.6× 27 0.5× 26 0.6× 28 482
K. C. S. Pillai United States 17 567 2.3× 59 0.6× 148 1.9× 73 1.5× 70 1.6× 56 998
Louis A. Jaeckel United States 5 398 1.6× 126 1.4× 47 0.6× 41 0.8× 16 0.4× 8 510
Tarmo Pukkila Finland 13 214 0.9× 36 0.4× 65 0.8× 52 1.0× 25 0.6× 34 452
Song-Gui Wang China 11 214 0.9× 59 0.6× 52 0.7× 61 1.2× 18 0.4× 47 355

Countries citing papers authored by William J. Hemmerle

Since Specialization
Citations

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

Fields of papers citing papers by William J. Hemmerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Hemmerle

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Hemmerle. A scholar is included among the top collaborators of William J. Hemmerle 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 William J. Hemmerle. William J. Hemmerle 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.
Hemmerle, William J.. (1980). Recognizing balance with unbalanced data. Communication in Statistics- Theory and Methods. 9(2). 201–211. 1 indexed citations
2.
Hemmerle, William J.. (1979). Balanced Hypotheses and Unbalanced Data. Journal of the American Statistical Association. 74(368). 794–798. 4 indexed citations
3.
Hemmerle, William J., et al.. (1979). A Simplified Algorithm for the W Transformation in Variance Component Estimation. Technometrics. 21(2). 265–267. 11 indexed citations
4.
Hemmerle, William J., et al.. (1979). A Simplified Algorithm for the W Transformation in Variance Component Estimation. Technometrics. 21(2). 265–265. 3 indexed citations
5.
Hemmerle, William J.. (1979). Balanced Hypotheses and Unbalanced Data. Journal of the American Statistical Association. 74(368). 794–794. 2 indexed citations
6.
Hemmerle, William J., et al.. (1978). Explicit and Constrained Generalized Ridge Estimation. Technometrics. 20(2). 109–109. 17 indexed citations
7.
Hemmerle, William J., et al.. (1978). Explicit and Constrained Generalized Ridge Estimation. Technometrics. 20(2). 109–120. 45 indexed citations
8.
Hemmerle, William J., et al.. (1976). Improved Algorithm for the W -Transform in Variance Component Estimation. Technometrics. 18(2). 207–211. 9 indexed citations
9.
Hemmerle, William J.. (1976). Iterative Nonorthogonal Analysis of Covariance. Journal of the American Statistical Association. 71(353). 195–199. 4 indexed citations
10.
Hemmerle, William J.. (1975). An Explicit Solution for Generalized Ridge Regression. Technometrics. 17(3). 309–314. 79 indexed citations
11.
Hemmerle, William J.. (1974). Nonorthogonal Analysis of Variance Using Iterative Improvement and Balanced Residuals. Journal of the American Statistical Association. 69(347). 772–772. 1 indexed citations
12.
Hemmerle, William J.. (1974). Nonorthogonal Analysis of Variance Using Iterative Improvement and Balanced Residuals. Journal of the American Statistical Association. 69(347). 772–778. 10 indexed citations
13.
Hemmerle, William J., et al.. (1973). Computing Maximum Likelihood Estimates for the Mixed A. O. V. Model Using the W Transformation. Technometrics. 15(4). 819–819. 49 indexed citations
14.
Hemmerle, William J. & H. O. Hartley. (1973). Computing Maximum Likelihood Estimates for the Mixed A.O.V. Model Using the W Transformation. Technometrics. 15(4). 819–831. 109 indexed citations
15.
Hemmerle, William J.. (1969). Generating pseudorandom numbers on a two's complement machine such as the IBM 360. Communications of the ACM. 12(7). 382–383. 1 indexed citations
16.
Hamblen, John W. & William J. Hemmerle. (1968). Statistical Computations on a Digital Computer.. Journal of the American Statistical Association. 63(321). 375–375. 34 indexed citations
17.
Hemmerle, William J., et al.. (1966). Statistical computations based upon algebraically specified models. Communications of the ACM. 9(12). 865–869. 4 indexed citations
18.
Fuller, E. G. & William J. Hemmerle. (1966). Robustness of the Maximum-Likelihood Estimation Procedure in Factor Analysis. Psychometrika. 31(2). 255–266. 41 indexed citations
19.
20.
Hemmerle, William J., et al.. (1963). An Application of "Post Stratification" Technique in Local TV Election Predictions. Public Opinion Quarterly. 27(3). 467–467. 1 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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