T. O. Lewis

635 total citations
34 papers, 459 citations indexed

About

T. O. Lewis is a scholar working on Statistics and Probability, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, T. O. Lewis has authored 34 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 8 papers in Computational Theory and Mathematics and 5 papers in Management Science and Operations Research. Recurrent topics in T. O. Lewis's work include Matrix Theory and Algorithms (8 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Distribution Estimation and Applications (6 papers). T. O. Lewis is often cited by papers focused on Matrix Theory and Algorithms (8 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Distribution Estimation and Applications (6 papers). T. O. Lewis collaborates with scholars based in United States and Russia. T. O. Lewis's co-authors include Patrick L. Odell, T. L. Boullion, H. L. Gray, James H. Smith, George Zyskind, W.J. Kolarik, A. J. Kinderman, W. A. Coberly, Mark Stamp and Linda J. S. Allen and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrika.

In The Last Decade

T. O. Lewis

33 papers receiving 412 citations

Peers

Countries citing papers authored by T. O. Lewis

Since Specialization

Citations

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

Fields of papers citing papers by T. O. Lewis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. O. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of T. O. Lewis. A scholar is included among the top collaborators of T. O. Lewis 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 T. O. Lewis. T. O. Lewis 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	A mathematical analysis and simulation of a localized measles epidemic 1990 ·Applied Mathematics and Computation ·Linda J. S. Allen, T. O. Lewis, Clyde F. Martin, Mark Stamp	9
2	Test procedures in coyariamce analysis assuming a general correlation pattern 1986 ·Communication in Statistics- Theory and Methods ·Robert Pavur, T. O. Lewis	1
3	Effects Of 1Nteacla5S Corrlation 0N Covariance Analysis 1982 ·Communication in Statistics- Theory and Methods ·James H. Smith, T. O. Lewis	8
4	Determining the effects of intraclass correlation on factorial experiments 1980 ·Communication in Statistics- Theory and Methods ·James H. Smith, T. O. Lewis	25
5	A class of location-scale nonparametric tests 1976 ·Biometrika ·(unknown), (unknown), T. O. Lewis	25
6	Small-Sample Behavior of Some Multisample Nonparametric Tests for Scale 1975 ·Journal of the American Statistical Association ·(unknown), (unknown), T. O. Lewis	11
7	A note on the analysis of the manova model and its application to growth curves 1975 ·Communications in Statistics ·(unknown), T. O. Lewis, (unknown)	9
8	Small-Sample Behavior of Some Multisample Nonparametric Tests for Scale 1975 ·Journal of the American Statistical Association ·(unknown), (unknown), T. O. Lewis	4
9	The Effects of Intraclass Correlation on Certain Significance Tests when Sampling from Multivariate Normal Population 1974 ·Communications in Statistics - Simulation and Computation ·(unknown), Patrick L. Odell, T. O. Lewis	17
10	Quadratic Matrix Equations 1974 ·The Knowledge Bank (The Ohio State University) ·(unknown), T. O. Lewis, T. L. Boullion	12
11	Estimation in the restricted general linear model with a positive semidefinite covariance matrix 1973 ·Communications in Statistics ·(unknown), T. O. Lewis, T. L. Boullion	8
12	Estimation in Linear Models. 1973 ·Journal of the American Statistical Association ·George Zyskind, T. O. Lewis, Patrick L. Odell	51
13	A note on a one-sided Kolmogorov-Smirnov test of fit for discrete distribution functions 1972 ·Annals of the Institute of Statistical Mathematics ·W. A. Coberly, T. O. Lewis	4
14	Weak Spectral Inverses 1972 ·SIAM Journal on Applied Mathematics ·(unknown), T. L. Boullion, T. O. Lewis	4
15	Best Linear Recursive Estimation 1971 ·Journal of the American Statistical Association ·Patrick L. Odell, T. O. Lewis	6
16	Approximation of Tail Probabilities by Means of theB_n-Transformation 1971 ·Journal of the American Statistical Association ·H. L. Gray, T. O. Lewis	5
17	Pseudoinverss of Postive Semidefeinite Matrices 1968 ·SIAM Journal on Applied Mathematics ·T. O. Lewis, (unknown)	22
18	A theory of linear estimation 1967 ·NASA Technical Reports Server (NASA) ·T. O. Lewis, Patrick L. Odell	7
19	A Confidence Interval for the Availability Ratio 1967 ·Technometrics ·H. L. Gray, T. O. Lewis	28
20	A Generalization of the Gauss-Markov Theorem 1966 ·Journal of the American Statistical Association ·T. O. Lewis, Patrick L. Odell	2

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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