Franklin A. Graybill

8.8k total citations · 6 hit papers
99 papers, 5.8k citations indexed

About

Franklin A. Graybill is a scholar working on Statistics and Probability, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Franklin A. Graybill has authored 99 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistics and Probability, 17 papers in Management Science and Operations Research and 13 papers in Computational Theory and Mathematics. Recurrent topics in Franklin A. Graybill's work include Advanced Statistical Methods and Models (21 papers), Optimal Experimental Design Methods (15 papers) and Statistical Methods and Bayesian Inference (12 papers). Franklin A. Graybill is often cited by papers focused on Advanced Statistical Methods and Models (21 papers), Optimal Experimental Design Methods (15 papers) and Statistical Methods and Bayesian Inference (12 papers). Franklin A. Graybill collaborates with scholars based in United States, Sri Lanka and United Kingdom. Franklin A. Graybill's co-authors include P. K. Sen, Alexander M. Mood, G. E. Thomas, W. C. Krumbein, Gordon V. Kass, Duane C. Boes, George Zyskind, B. L. Welch, Dallas E. Johnson and Chih‐Ming Wang and has published in prestigious journals such as Science, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Franklin A. Graybill

92 papers receiving 4.9k citations

Hit Papers

5 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 and Application of the Linear Model.

1977 823 citations Franklin A. Graybill et al. profile →
Introduction to the Theory of Statistics, 3rd ed.

1974 755 citations Franklin A. Graybill et al. Journal of the American Statistical Association profile →
Theory and Application of the Linear Model.

1978 737 citations Franklin A. Graybill et al. Journal of the American Statistical Association profile →
Matrices with Applications in Statistics.

1984 536 citations Franklin A. Graybill et al. profile →
Introduction to the Theory of Statistics.

1964 381 citations Franklin A. Graybill et al. profile →
Introduction to Matrices with Applications in Statistics

1970 302 citations Franklin A. Graybill et al. Technometrics profile →

Peers

Countries citing papers authored by Franklin A. Graybill

Since Specialization

Citations

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

Fields of papers citing papers by Franklin A. Graybill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franklin A. Graybill. 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 Franklin A. Graybill. The network helps show where Franklin A. Graybill may publish in the future.

Co-authorship network of co-authors of Franklin A. Graybill

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	An introduction to linear statistical models. 2013 ·Medical Entomology and Zoology ·Franklin A. Graybill	40
2	Confidence Intervals on Ratios of Variance Components for the Unbalanced Two Factor Nested Model 1992 ·Biometrical Journal ·(unknown), Franklin A. Graybill, Naitee Ting	2
3	Confidence intervals on linear combinations of variance components that are unrestricted in sign 1990 ·Journal of Statistical Computation and Simulation ·Naitee Ting, Richard K. Burdick, Franklin A. Graybill, (unknown), (unknown)	61
4	Confidence intervals on the ratio of expected mean squares 1989 ·Journal of Statistical Planning and Inference ·(unknown), Franklin A. Graybill, Richard K. Burdick	3
5	The present status of confidence interval estimation on variance components in balanced and unbalanced random models 1988 ·Communication in Statistics- Theory and Methods ·Richard K. Burdick, Franklin A. Graybill	11
6	Confidence intervals on a difference of expected mean squares 1988 ·Journal of Statistical Planning and Inference ·(unknown), Franklin A. Graybill, Richard K. Burdick	11
7	Confidence intervals on measures of variability in an unbalanced two-fold nested design with equal subsampling 1986 ·Journal of Statistical Computation and Simulation ·Richard K. Burdick, (unknown), Franklin A. Graybill	7
8	Confidence intervals on a ratio of variances in the two-factor nested components of variance model 1981 ·Communication in Statistics- Theory and Methods ·Chih‐Ming Wang, Franklin A. Graybill	9
9	Confidence Intervals on Variance Components in Three-Factor Cross-Classification Models 1980 ·Technometrics ·(unknown), Franklin A. Graybill	13
10	Confidence Intervals for Proportions of Variability in Two-Factor Nested Variance Component Models 1979 ·Journal of the American Statistical Association ·Franklin A. Graybill, Chih‐Ming Wang	10
11	Least Squares Programs-A Look at the Square Root Procedure 1975 ·The American Statistician ·(unknown), Thomas J. Boardman, Franklin A. Graybill	5
12	Estimation of σ ² in a Two-Way Classification Model with Interaction 1972 ·Journal of the American Statistical Association ·Dallas E. Johnson, Franklin A. Graybill	16
13	An Analysis of a Two-Way Model with Interaction and No Replication 1972 ·Journal of the American Statistical Association ·Dallas E. Johnson, Franklin A. Graybill	143
14	321. Note: Tests for Interaction in the Two-Way Model with Missing Data 1971 ·Biometrics ·George A. Milliken, Franklin A. Graybill	3
15	Extensions of the General Linear Hypothesis Model 1970 ·Journal of the American Statistical Association ·George A. Milliken, Franklin A. Graybill	60
16	Extensions of the General Linear Hypothesis Model 1970 ·Journal of the American Statistical Association ·George A. Milliken, Franklin A. Graybill	16
17	Sample Size for a Specified Width Confidence Interval on the Variance of a Normal Distribution 1960 ·Biometrics ·Franklin A. Graybill, Robert Morrison	7
18	The Staircase Design: Theory 1958 ·The Annals of Mathematical Statistics ·Franklin A. Graybill, William E. Pruitt	3
19	Determining Sample Size for a Specified Width Confidence Interval 1958 ·The Annals of Mathematical Statistics ·Franklin A. Graybill	12
20	Effect of Lindane on Egg Production 1953 ·Poultry Science ·George F. Godfrey, D. E. Howell, Franklin A. Graybill	5

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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