Richard J. Beckman

22.3k total citations · 6 hit papers
73 papers, 16.2k citations indexed

About

Richard J. Beckman is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, Richard J. Beckman has authored 73 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 11 papers in Management Science and Operations Research and 9 papers in Statistics, Probability and Uncertainty. Recurrent topics in Richard J. Beckman's work include Advanced Statistical Methods and Models (12 papers), COVID-19 epidemiological studies (8 papers) and Influenza Virus Research Studies (6 papers). Richard J. Beckman is often cited by papers focused on Advanced Statistical Methods and Models (12 papers), COVID-19 epidemiological studies (8 papers) and Influenza Virus Research Studies (6 papers). Richard J. Beckman collaborates with scholars based in United States, United Kingdom and Sweden. Richard J. Beckman's co-authors include Michael D. McKay, W. J. Conover, Sanford Weisberg, Ronald E. Walpole, Keith Baggerly, R. Dennis Cook, Gary L. Tietjen, Madhav Marathe, Christopher J. Nachtsheim and Bryan Lewis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

In The Last Decade

Richard J. Beckman

73 papers receiving 14.9k citations

Hit Papers

5 papers align trajectories

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.

A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

2000 5.5k citations Michael D. McKay, Richard J. Beckman et al. Technometrics profile →
Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code

1979 2.4k citations Michael D. McKay, Richard J. Beckman et al. Technometrics profile →
Applied Linear Regression

1987 2.3k citations Richard J. Beckman et al. Technometrics profile →
Probability and Statistics for Engineers and Scientists.

1973 2.1k citations Richard J. Beckman, Ronald E. Walpole et al. Journal of the American Statistical Association profile →
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code

2000 1.8k citations Michael D. McKay, Richard J. Beckman et al. Technometrics profile →
Modeling targeted layered containment of an influenza pandemic in the United States

2008 473 citations Stephen Eubank, Bryan Lewis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard J. Beckman United States	22	2.7k	2.2k	2.0k	1.8k	1.5k	73	16.2k
W. J. Conover United States	31	3.6k 1.3×	2.7k 1.2×	2.4k 1.2×	2.6k 1.4×	1.5k 1.0×	71	29.2k
Michael D. McKay United States	20	3.4k 1.3×	2.9k 1.3×	2.3k 1.1×	2.0k 1.1×	1.5k 1.0×	26	13.8k
Richard F. Gunst United States	31	1.8k 0.7×	1.7k 0.7×	1.3k 0.6×	1.8k 1.0×	2.7k 1.8×	90	17.0k
Norman R. Draper United States	48	3.1k 1.2×	3.3k 1.5×	1.3k 0.7×	5.0k 2.7×	2.2k 1.5×	243	29.8k
I. M. Sobol Russia	24	5.3k 2.0×	1.7k 0.8×	2.4k 1.2×	910 0.5×	1.1k 0.7×	73	12.3k
Raymond H. Myers United States	41	3.6k 1.4×	3.7k 1.7×	1.4k 0.7×	5.1k 2.7×	3.4k 2.2×	111	23.2k
Toby J. Mitchell United States	29	3.4k 1.2×	4.6k 2.1×	909 0.5×	3.4k 1.8×	949 0.6×	74	12.1k
Max D. Morris United States	23	2.5k 0.9×	2.0k 0.9×	1.1k 0.5×	1.5k 0.8×	626 0.4×	111	8.4k
R. Mead United Kingdom	21	687 0.3×	1.5k 0.7×	1.1k 0.6×	900 0.5×	1.7k 1.1×	49	23.6k
J. E. Dennis United States	40	1.6k 0.6×	6.8k 3.0×	1.2k 0.6×	1.2k 0.7×	1.3k 0.9×	86	18.0k

Countries citing papers authored by Richard J. Beckman

Since Specialization

Citations

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

Fields of papers citing papers by Richard J. Beckman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard J. Beckman

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

All Works

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20 of 20 papers shown

Nsoesie, Elaine O., et al.. (2013). A Simulation Optimization Approach to Epidemic Forecasting. PLoS ONE. 8(6). e67164–e67164. 46 indexed citations

Nsoesie, Elaine O., Richard J. Beckman, & Madhav Marathe. (2012). Sensitivity Analysis of an Individual-Based Model for Simulation of Influenza Epidemics. PLoS ONE. 7(10). e45414–e45414. 25 indexed citations

Nsoesie, Elaine O., Richard J. Beckman, Madhav Marathe, & Bryan Lewis. (2011). Prediction of an Epidemic Curve: A Supervised Classification Approach. PubMed. 3(1). 21 indexed citations

Eubank, Stephen, Chris Barrett, Richard J. Beckman, et al.. (2010). Detail in network models of epidemiology: are we there yet?. Journal of Biological Dynamics. 4(5). 446–455. 24 indexed citations

Beckman, Richard J., et al.. (2010). Implications of Dynamic Spectrum Access on the Efficiency of Primary Wireless Market. 1–12. 16 indexed citations

Marathe, Achla, et al.. (2010). Same influenza vaccination strategies but different outcomes across US cities?. International Journal of Infectious Diseases. 14(9). e792–e795. 9 indexed citations

McKay, Michael D., Richard J. Beckman, & W. J. Conover. (2000). A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics. 42(1). 55–55. 5480 indexed citations breakdown →

Beckman, Richard J.. (1996). Plotting p ^k Factorial or p ^n-k Fractional Factorial Data. The American Statistician. 50(2). 170–174. 1 indexed citations

Beckman, Richard J., Keith Baggerly, & Michael D. McKay. (1996). Creating synthetic baseline populations. Transportation Research Part A Policy and Practice. 30(6). 415–429. 335 indexed citations

10.

Beckman, Richard J., G.C. Salzman, & Carleton C. Stewart. (1995). Classification and regression trees for bone marrow immunophenotyping. Cytometry. 20(3). 210–217. 19 indexed citations

11.

Beckman, Richard J., Christopher J. Nachtsheim, & R. Dennis Cook. (1987). Diagnostics for Mixed – Model Analysis of Variance. Technometrics. 29(4). 413–426. 21 indexed citations

12.

Beckman, Richard J. & Michael D. McKay. (1987). Monte Carlo Estimation Under Different Distributions Using the Same Simulation. Technometrics. 29(2). 153–160. 32 indexed citations

13.

Beckman, Richard J., et al.. (1982). A Multivariate Uranium Favorability Index Using Aerial Radiometric Data. The Journal of Geology. 90(1). 109–124. 2 indexed citations

14.

Johnson, M., Gary L. Tietjen, & Richard J. Beckman. (1980). A New Family of Probability Distributions with Applications to Monte Carlo Studies. Journal of the American Statistical Association. 75(370). 276–279. 33 indexed citations

15.

Beckman, Richard J. & R. D. Cook. (1979). Testing for Two-Phase Regressions. Technometrics. 21(1). 65–65. 4 indexed citations

16.

Beckman, Richard J., et al.. (1978). Maximum likelihood estimation for the beta distribution. Journal of Statistical Computation and Simulation. 7(3-4). 253–258. 35 indexed citations

17.

Tietjen, Gary L. & Richard J. Beckman. (1975). On Duplicate Measurements in the Chemical Laboratory. Technometrics. 17(1). 53–56. 3 indexed citations

18.

Beckman, Richard J., et al.. (1974). Biometrika Tables for Statisticians. Volume II.. Journal of the American Statistical Association. 69(346). 577–577. 3 indexed citations

19.

Beckman, Richard J., et al.. (1973). Probability and Statistics for Engineers and Scientists.. Journal of the American Statistical Association. 68(341). 247–247. 2150 indexed citations breakdown →

20.

Tietjen, Gary L., R. W. Moore, & Richard J. Beckman. (1973). Testing for a Single Outlier in Simple Linear Regression. Technometrics. 15(4). 717–721. 51 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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