Richard L. Scheaffer

5.5k total citations · 2 hit papers
77 papers, 3.8k citations indexed

About

Richard L. Scheaffer is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, Richard L. Scheaffer has authored 77 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 7 papers in Education. Recurrent topics in Richard L. Scheaffer's work include Statistics Education and Methodologies (21 papers), Bayesian Methods and Mixture Models (6 papers) and Insurance, Mortality, Demography, Risk Management (4 papers). Richard L. Scheaffer is often cited by papers focused on Statistics Education and Methodologies (21 papers), Bayesian Methods and Mixture Models (6 papers) and Insurance, Mortality, Demography, Risk Management (4 papers). Richard L. Scheaffer collaborates with scholars based in United States and United Kingdom. Richard L. Scheaffer's co-authors include William M. Mendenhall, Lyman Ott, Dennis D. Wackerly, Gary E. Meek, William D. Warde, James T. McClave, G. Ramachandran, Ronald Czaja, K. D. S. Young and Eric R. Ziegel and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Richard L. Scheaffer

76 papers receiving 3.4k citations

Hit Papers

Mathematical Statistics with Applications 1987 2026 2000 2013 1987 1987 250 500 750
What are hit papers?

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.

  1. Mathematical Statistics with Applications
    1987 908 citations William M. Mendenhall, Richard L. Scheaffer et al. Technometrics profile →
  2. Elementary Survey Sampling
    1987 660 citations Richard L. Scheaffer, William M. Mendenhall et al. Technometrics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard L. Scheaffer United States 23 622 363 302 270 260 77 3.8k
Graham Upton United Kingdom 35 471 0.8× 329 0.9× 256 0.8× 214 0.8× 407 1.6× 175 4.6k
Jean Dickinson Gibbons United States 27 700 1.1× 583 1.6× 336 1.1× 136 0.5× 536 2.1× 86 5.4k
M. Knott United Kingdom 17 902 1.5× 721 2.0× 229 0.8× 98 0.4× 244 0.9× 64 6.0k
Ron Wasserstein United States 12 1.0k 1.6× 624 1.7× 246 0.8× 208 0.8× 269 1.0× 20 7.3k
J. Edward Jackson United States 28 898 1.4× 749 2.1× 301 1.0× 104 0.4× 281 1.1× 65 9.1k
Wayne W. Daniel United States 20 442 0.7× 300 0.8× 497 1.6× 135 0.5× 301 1.2× 51 7.0k
Hamparsum Bozdogan United States 16 796 1.3× 775 2.1× 232 0.8× 129 0.5× 248 1.0× 69 4.7k
Alvin C. Rencher United States 21 489 0.8× 405 1.1× 212 0.7× 59 0.2× 219 0.8× 32 3.7k
John P. Fox United States 37 314 0.5× 467 1.3× 275 0.9× 205 0.8× 193 0.7× 196 8.0k
Jacqueline J. Meulman Netherlands 30 415 0.7× 592 1.6× 213 0.7× 104 0.4× 223 0.9× 75 3.8k

Countries citing papers authored by Richard L. Scheaffer

Since Specialization
Citations

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

Fields of papers citing papers by Richard L. Scheaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard L. Scheaffer. 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 Richard L. Scheaffer. The network helps show where Richard L. Scheaffer may publish in the future.

Co-authorship network of co-authors of Richard L. Scheaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Richard L. Scheaffer. A scholar is included among the top collaborators of Richard L. Scheaffer 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 Richard L. Scheaffer. Richard L. Scheaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Briars, Diane J., et al.. (2014). The Future of High School Mathematics. Mathematics Teacher Learning and Teaching PK-12. 107(7). 488–490. 1 indexed citations
2.
Watkins, Ann, George W. Cobb, & Richard L. Scheaffer. (2009). Statistics: From Data to Decision. Medical Entomology and Zoology. 11 indexed citations
3.
Wackerly, Dennis D., William M. Mendenhall, & Richard L. Scheaffer. (2008). Estadística matemática con aplicaciones. 30 indexed citations
4.
Scheaffer, Richard L., et al.. (2008). Elementary Survey Sampling -6/E.. 14 indexed citations
5.
Howe, Roger, et al.. (2004). Mathematics Framework for the 2005 National Assessment of Educational Progress.. 7 indexed citations
6.
Scheaffer, Richard L., et al.. (1996). Activity-Based Statistics: Student Guide.. Biometrics. 52(4). 1528–1528. 11 indexed citations
7.
Herrin, Gary D., Richard L. Scheaffer, & James T. McClave. (1995). Probability and Statistics for Engineers. The American Statistician. 49(2). 238–238. 45 indexed citations
8.
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
9.
Cormack, R. M., Richard L. Scheaffer, William M. Mendenhall, & Lyman Ott. (1991). Elementary Survey Sampling.. Biometrics. 47(2). 790–790. 167 indexed citations
10.
Jones, Jason & Richard L. Scheaffer. (1991). Introduction to Probability and Its Applications. Technometrics. 33(3). 374–374. 73 indexed citations
11.
Scheaffer, Richard L.. (1988). Statistics in the Schools: The Past, Present, and Future of the Quantitative Literacy Project. Journal of Educational Technology Systems. 17(1). 47–58. 5 indexed citations
12.
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
13.
Carter, Randy L., Richard L. Scheaffer, & Ronald G. Marks. (1986). The Role of Consulting Units in Statistics Departments. The American Statistician. 40(4). 260–264. 15 indexed citations
14.
Scheaffer, Richard L. & James T. McClave. (1982). Statistics for engineers. 58 indexed citations
15.
Halfon, Efraim, et al.. (1977). Letters to the Editor. Technometrics. 19(3). 348–348. 3 indexed citations
16.
Scheaffer, Richard L.. (1976). On the Computation of Certain Minimum Variance Unbiased Estimators. Technometrics. 18(4). 497–499. 2 indexed citations
17.
Scheaffer, Richard L.. (1975). Optimum Age Replacement in the Bivariate Exponential Case. IEEE Transactions on Reliability. R-24(3). 214–215. 2 indexed citations
18.
Scheaffer, Richard L.. (1971). A Test for the Homogeneity of a Mixture. Technometrics. 13(2). 325–331. 8 indexed citations
19.
Scheaffer, Richard L.. (1971). A Test for the Homogeneity of a Mixture. Technometrics. 13(2). 325–325. 3 indexed citations
20.
Scheaffer, Richard L.. (1969). Sampling Mixtures of Multi-Sized Particles: An Application of Renewal Theory. Technometrics. 11(2). 285–298. 12 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.

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