Richard J. Beckman

22.3k citations
73 papers · 16.2k indexed · 6 hit papers · h-index 22

Richard J. Beckman

73 papers receiving 14.9k citations

Hit Papers

Modeling targeted layered co...473197320261990200810002.0k3.0k4.0k5.0k

Peers

Richard J. Beckman
Comparison fields: 5 of 232
  • Statistics, Probability and Uncertainty 2.7k
  • Modeling and Simulation 773
  • Management Science and Operations Research 1.8k
  • Computational Theory and Mathematics 2.2k
  • Statistics and Probability 954
Replace Michael D. McKay with:
Michael D. McKay United States
W. J. Conover United States
Kurt Hornik Austria
R. Mead United Kingdom
Stefano Tarantola Italy
J. E. Dennis United States
Andrea Saltelli Italy
Christopher K. I. Williams United Kingdom
Francesca Campolongo Italy
I. M. Sobol Russia
Richard J. Beckman relative to Michael D. McKay United States Michael D. McKay's profile →
Citations per field
00.5×3.5×
Michael D. McKay · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 201346
2 201225
3 201121
4 201016
5 201024
6 20109
7
A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Codebreakdown →
20005480
8 19961
9 1996335
10 199519
11
AutoGate: A Macintosh cluster analysis program for flow cytometry data
19932
12 19882
13 198721
14 198732
15 19822
16 19794
17 197835
18 197311
19 197351
20
Probability and Statistics for Engineers and Scientists.breakdown →
19732150

About Richard J. Beckman

Richard J. Beckman is a scholar working on Statistics and Probability, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 73 papers that have together received 16.2k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (12 papers), COVID-19 epidemiological studies (8 papers), Influenza Virus Research Studies (6 papers), Statistical Distribution Estimation and Applications (6 papers), Nuclear reactor physics and engineering (6 papers), Probabilistic and Robust Engineering Design (5 papers), Optimal Experimental Design Methods (5 papers) and Advanced Statistical Process Monitoring (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.7k citations), Modeling and Simulation (773 citations) and Management Science and Operations Research (1.8k citations). Richard J. Beckman has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Michael D. McKay, W. J. Conover, Sanford Weisberg, Ronald E. Walpole, Keith Baggerly, R. Dennis Cook, Gary L. Tietjen, Madhav Marathe, Bryan Lewis and Christopher J. Nachtsheim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of the American Statistical Association.

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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