Lyman Ott

28 papers receiving 3.1k citations

Lyman Ott's Hit Papers

An Introduction to Statistical Methods and Data Analysis 1989 · 984 citations
9840+14+28Years since publication250500750

Peers

Lyman Ott
Comparison fields: 5 of 219
  • Nature and Landscape Conservation 315
  • Statistics and Probability 165
  • Ecology 456
  • Aquatic Science 107
  • Management Science and Operations Research 181
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Countries citing papers authored by Lyman Ott

Since Specialization
Citations

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).

Fields of papers citing papers by Lyman Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Lyman Ott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lyman Ott Line = papers co-authored together Lyman Ott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Introduction to Statistical Methods and Data Analysis
Hit paper breakdown →
1989984
2
Elementary Survey Sampling
Hit paper breakdown →
1987662
3
An Introduction to Statistical Methods and Data Analysis.
Hit paper breakdown →
1983514
4 1994255
5 1987216
6 1991169
7 1977121
8 199165
9 197555
10 199246
11 197543
12 199130
13 197223
14 197523
15 199223
16 197516
17 197213
18 199913
19 19829
20 19729

About Lyman Ott

Lyman Ott is a scholar working on Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, Materials Chemistry and Computer Networks and Communications, having authored 29 papers that have together received 3.3k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (6 papers), Advanced Statistical Methods and Models (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Crystallization and Solubility Studies (2 papers), Sensor Technology and Measurement Systems (1 paper), Statistical Distribution Estimation and Applications (1 paper), Aerospace, Electronics, Mathematical Modeling (1 paper) and Probabilistic and Robust Engineering Design (1 paper). The work is most often cited by research in Nature and Landscape Conservation (315 citations), Statistics and Probability (165 citations), Ecology (456 citations), Aquatic Science (107 citations) and Management Science and Operations Research (181 citations). Lyman Ott has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Victor R. Prybutok, William M. Mendenhall, Richard L. Scheaffer, Francine F. Abeles, William D. Warde, Eric R. Ziegel, Ronald Czaja, Richard F. Larson, R. M. Cormack and Kenneth J. Berry. Their work appears in journals such as Technometrics, Journal of the American Statistical Association, Biometrics, Journal of Business and Economic Statistics and Teaching Sociology.

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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