John E. Freund

5.3k citations
67 papers · 3.7k indexed · 1 hit paper · h-index 26

John E. Freund

62 papers receiving 3.2k citations

Hit Papers

Probability and Statistics for Engineers.8161965202619852005250500750

Peers

John E. Freund
Comparison fields: 5 of 222
  • Statistics and Probability 588
  • Statistics, Probability and Uncertainty 288
  • Management Science and Operations Research 316
  • Safety, Risk, Reliability and Quality 195
  • Software 78
Replace Paul G. Hoel with:
Paul G. Hoel United States
H. D. Miller United Kingdom
Frank E. Grubbs United States
David Cox United Kingdom
Hubert W. Lilliefors United States
Josef Schmee United States
Allen T. Craig
Gordon V. Kass South Africa
Howard M. Taylor United States
Robert J. Beaver United States
John E. Freund relative to Paul G. Hoel United States Paul G. Hoel's profile →
Citations per field
00.5×2.7×
Paul G. Hoel · 1×
Citations per year

Countries citing papers authored by John E. Freund

Since Specialization
Citations

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

Fields of papers citing papers by John E. Freund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Freund. 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 John E. Freund. The network helps show where John E. Freund may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John E. Freund, 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 John E. Freund Line = papers co-authored together John E. Freund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Outline of Basic Statistics: Dictionary and Formulas
20104
2 200929
3
John E. Freund's Mathematical Statistics
199839
4 199823
5 199672
6
Mathematical statistics (4th ed.)
198638
7 1985302
8
Elementary Business Statistics
197914
9 197419
10 197259
11 197114
12 1968154
13 19672
14 19668
15 1961346
16 195913
17 195826
18
A modern introduction to mathematics
19561
19 19569
20 195327

About John E. Freund

John E. Freund is a scholar working on Statistics and Probability, Theoretical Computer Science, Numerical Analysis, Urology and Computational Theory and Mathematics, having authored 67 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistics Education and Methodologies (6 papers), Statistical Distribution Estimation and Applications (2 papers), Probability and Statistical Research (2 papers), Advanced Statistical Methods and Models (2 papers), Statistical and numerical algorithms (1 paper), Hair Growth and Disorders (1 paper), Advanced Thermodynamics and Statistical Mechanics (1 paper) and Bayesian Methods and Mixture Models (1 paper). The work is most often cited by research in Statistics and Probability (588 citations), Statistics, Probability and Uncertainty (288 citations), Management Science and Operations Research (316 citations), Safety, Risk, Reliability and Quality (195 citations) and Software (78 citations). John E. Freund has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Irwin Miller, Robert Hooke, Gary Simon, William A. Thompson, Ronald E. Walpole, Frank J. Williams, Stanley L. Sclove, Stephen B. Vardeman, Raymond H. Myers and Amir D. Aczel. Their work appears in journals such as Journal of the American Statistical Association, The American Statistician, Technometrics, Journal of the Royal Statistical Society Series C (Applied Statistics) and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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