John E. Freund

5.3k citations
67 papers · 4.0k · 1 hit paper · h-index 27

Impact in

Papers in

John E. Freund

63 papers receiving 3.5k citations

John E. Freund's Hit Papers

Probability and Statistics for Engineers. 1965 · 860 citations
8600+20+40Years since publication250500750

Peers

John E. Freund
Comparison fields: 5 of 221
  • Statistics and Probability 660
  • Statistics, Probability and Uncertainty 305
  • Management Science and Operations Research 359
  • Safety, Risk, Reliability and Quality 215
  • Software 93
Replace Paul G. Hoel with:
Paul G. Hoel United States
H. D. Miller United Kingdom
Frank E. Grubbs United States
Hubert W. Lilliefors United States
David Cox United Kingdom
Josef Schmee United States
Gordon V. Kass South Africa
Allen T. Craig
I. Richard Savage 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
00.5×2.6×
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-authors

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

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probability and Statistics for Engineers.
Hit paper breakdown →
1965860
2 1961399
3 1963328
4 1985319
5 1968166
6 1986146
7 1981144
8 1993135
9 196392
10 196190
11
John E. Freund's Mathematical Statistics with Applications
200380
12 199677
13 197276
14 196168
15 196967
16 196267
17 197265
18 195365
19 196352
20
John E. Freund's Mathematical Statistics
199844

About John E. Freund

John E. Freund is a scholar working on Statistics and Probability, Artificial Intelligence, Computational Theory and Mathematics, Surgery and Numerical Analysis, having authored 67 papers that have together received 4.0k 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), Advanced Thermodynamics and Statistical Mechanics (1 paper), Hair Growth and Disorders (1 paper), Control Systems and Identification (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Statistics and Probability (660 citations), Statistics, Probability and Uncertainty (305 citations), Management Science and Operations Research (359 citations), Safety, Risk, Reliability and Quality (215 citations) and Software (93 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 Biometrics.

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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