Justus Seely

1.0k total citations
28 papers, 590 citations indexed

About

Justus Seely is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Justus Seely has authored 28 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 5 papers in Artificial Intelligence. Recurrent topics in Justus Seely's work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (7 papers). Justus Seely is often cited by papers focused on Advanced Statistical Methods and Models (12 papers), Statistical Methods and Bayesian Inference (8 papers) and Statistical Methods and Inference (7 papers). Justus Seely collaborates with scholars based in United States, South Korea and Egypt. Justus Seely's co-authors include David Birkes, Anthony R. Olsen, George Zyskind, Dawn VanLeeuwen, Youngjo Lee, Robert V. Hogg and Yadolah Dodge and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Justus Seely

28 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justus Seely United States	12	378	199	68	64	63	28	590
J. H. Venter South Africa	12	262 0.7×	141 0.7×	119 1.8×	43 0.7×	19 0.3×	38	587
Peide Shi China	11	497 1.3×	79 0.4×	145 2.1×	22 0.3×	32 0.5×	25	690
Andrej Pázman Slovakia	10	154 0.4×	207 1.0×	54 0.8×	164 2.6×	29 0.5×	54	436
Hung Chen Taiwan	10	508 1.3×	116 0.6×	114 1.7×	20 0.3×	45 0.7×	19	666
Wolfgang Polonik United States	15	359 0.9×	44 0.2×	218 3.2×	36 0.6×	41 0.7×	27	567
Jiunn Tzon Hwang United States	14	598 1.6×	118 0.6×	182 2.7×	13 0.2×	45 0.7×	33	739
Yves Romain France	6	259 0.7×	28 0.1×	97 1.4×	31 0.5×	45 0.7×	16	393
Teresa Ledwina Poland	15	705 1.9×	77 0.4×	212 3.1×	20 0.3×	33 0.5×	52	873
Jayaram Sethuraman United States	6	249 0.7×	87 0.4×	74 1.1×	13 0.2×	24 0.4×	7	403
Jack C. Lee Taiwan	14	422 1.1×	68 0.3×	272 4.0×	12 0.2×	12 0.2×	24	703

Countries citing papers authored by Justus Seely

Since Specialization

Citations

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

Fields of papers citing papers by Justus Seely

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justus Seely. 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 Justus Seely. The network helps show where Justus Seely may publish in the future.

Co-authorship network of co-authors of Justus Seely

This figure shows the co-authorship network connecting the top 25 collaborators of Justus Seely. A scholar is included among the top collaborators of Justus Seely 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 Justus Seely. Justus Seely 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

Birkes, David, Justus Seely, & Dawn VanLeeuwen. (1999). Balance and orthogonality in designs for mixed classification models. The Annals of Statistics. 27(6). 23 indexed citations

VanLeeuwen, Dawn, Justus Seely, & David Birkes. (1998). Sufficient conditions for orthogonal designs in mixed linear models. Journal of Statistical Planning and Inference. 73(1-2). 373–389. 17 indexed citations

Seely, Justus, David Birkes, & Youngjo Lee. (1997). Characterizing Sums of Squares by Their Distributions. The American Statistician. 51(1). 55–55. 2 indexed citations

Seely, Justus, David Birkes, & Youngjo Lee. (1997). Characterizing Sums of Squares by Their Distributions. The American Statistician. 51(1). 55–58. 4 indexed citations

Seely, Justus, et al.. (1996). Recovery of inter-block information: extensions in a two variance component model. Communication in Statistics- Theory and Methods. 25(9). 2189–2200. 1 indexed citations

Seely, Justus, et al.. (1996). A modified harmonic mean test procedure for variance components. Journal of Statistical Planning and Inference. 49(3). 319–326. 3 indexed citations

Lee, Youngjo & Justus Seely. (1996). Computing the Wald Interval for a Variance Ratio. Biometrics. 52(4). 1486–1486. 6 indexed citations

Seely, Justus & Youngjo Lee. (1994). A note on the satterthwaite confidence interval for a variance. Communication in Statistics- Theory and Methods. 23(3). 859–869. 4 indexed citations

Seely, Justus, et al.. (1988). When can random effects be treated as fixed effects for computing a test statistic for a linear hypothesis?. Communication in Statistics- Theory and Methods. 17(4). 1089–1109. 4 indexed citations

10.

Seely, Justus, et al.. (1983). Applying Wald's Variance Component Test. The Annals of Statistics. 11(1). 50 indexed citations

11.

Seely, Justus & Robert V. Hogg. (1982). Symmetrically distributed and unbiased estimators in linear models. Communication in Statistics- Theory and Methods. 11(7). 721–729. 10 indexed citations

12.

Birkes, David, et al.. (1981). An Efficient Estimator of the Mean in a Two-Stage Nested Model. Technometrics. 23(2). 143–148. 5 indexed citations

13.

Seely, Justus. (1980). Some Remarks on Exact Confidence Intervals for Positive Linear Combinations of Variance Components. Journal of the American Statistical Association. 75(370). 372–372. 2 indexed citations

14.

Seely, Justus, et al.. (1980). Some sufficient conditions for establishing (M, S)-optimality. Journal of Statistical Planning and Inference. 4(1). 3–11. 9 indexed citations

15.

Seely, Justus & David Birkes. (1980). Estimability in Partitioned Linear Models. The Annals of Statistics. 8(2). 11 indexed citations

16.

Seely, Justus. (1978). A complete sufficient statistic for the linear model under normality and a singular covariance matrix. Communication in Statistics- Theory and Methods. 7(15). 1465–1473. 4 indexed citations

17.

Birkes, David, Yadolah Dodge, & Justus Seely. (1976). Spanning Sets for Estimable Contrasts in Classification Models. The Annals of Statistics. 4(1). 13 indexed citations

18.

Seely, Justus. (1971). Quadratic Subspaces and Completeness. The Annals of Mathematical Statistics. 42(2). 710–721. 131 indexed citations

19.

Seely, Justus & George Zyskind. (1971). Linear Spaces and Minimum Variance Unbiased Estimation. The Annals of Mathematical Statistics. 42(2). 691–703. 55 indexed citations

20.

Seely, Justus. (1970). Linear Spaces and Unbiased Estimation--Application to the Mixed Linear Model. The Annals of Mathematical Statistics. 41(5). 1735–1748. 52 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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