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.
An Introduction to Statistical Methods and Data Analysis
1989983 citationsVictor R. Prybutok, Lyman OttTechnometricsprofile →
Elementary Survey Sampling
1987660 citationsRichard L. Scheaffer, William M. Mendenhall et al.Technometricsprofile →
An Introduction to Statistical Methods and Data Analysis.
1983514 citationsFrancine F. Abeles, Lyman OttJournal of the American Statistical Associationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Lyman Ott'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 Lyman Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyman Ott more than expected).
This network shows the impact of papers produced by Lyman Ott. 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 Lyman Ott. The network helps show where Lyman Ott may publish in the future.
Co-authorship network of co-authors of Lyman Ott
This figure shows the co-authorship network connecting the top 25 collaborators of Lyman Ott.
A scholar is included among the top collaborators of Lyman Ott 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 Lyman Ott. Lyman Ott is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ott, Lyman, et al.. (1992). Understanding Statistics. Technometrics. 34(3). 368–368.5 indexed citations
3.
Scheaffer, Richard L., et al.. (1992). Elementary Survey Sampling, 4th edn.. Journal of the Royal Statistical Society Series C (Applied Statistics). 41(1). 227–227.46 indexed citations
4.
Lynn, Peter, Richard L. Scheaffer, William M. Mendenhall, & Lyman Ott. (1992). Elementary Survey Sampling.. Journal of the Royal Statistical Society Series D (The Statistician). 41(1). 125–125.22 indexed citations
5.
Cormack, R. M., Richard L. Scheaffer, William M. Mendenhall, & Lyman Ott. (1991). Elementary Survey Sampling.. Biometrics. 47(2). 790–790.167 indexed citations
6.
Ott, Lyman, et al.. (1991). Understanding Statistics.. Journal of the Royal Statistical Society Series D (The Statistician). 40(4). 459–459.30 indexed citations
Prybutok, Victor R. & Lyman Ott. (1989). An Introduction to Statistical Methods and Data Analysis. Technometrics. 31(3). 389–389.983 indexed citations breakdown →
Czaja, Ronald, Richard L. Scheaffer, William M. Mendenhall, & Lyman Ott. (1987). Elementary Survey Sampling.. Journal of the American Statistical Association. 82(400). 1185–1185.215 indexed citations
12.
Abeles, Francine F. & Lyman Ott. (1983). An Introduction to Statistical Methods and Data Analysis.. Journal of the American Statistical Association. 78(383). 739–739.514 indexed citations breakdown →
Ott, Lyman, D. Weiner, Hsien C. Cheng, & J. Arthur Woodward. (1981). Estimating pA2 values for different designs. Journal of Pharmacological Methods. 5(1). 75–92.3 indexed citations
Wilkinson, R. K., William M. Mendenhall, Lyman Ott, & Richard L. Scheaffer. (1972). Elementary Survey Sampling.. Journal of the Royal Statistical Society Series A (General). 135(1). 157–157.13 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.