Richard J. Beckman
- Statistics, Probability and Uncertainty top 0.02%
- Computational Theory and Mathematics top 0.1%
- Civil and Structural Engineering top 0.5%
- Management Science and Operations Research top 0.2%
- Mechanical Engineering top 1%
- Co-authors
- Michael D. McKayW. J. ConoverSanford WeisbergRonald E. WalpoleKeith BaggerlyR. Dennis CookGary L. TietjenMadhav Marathe
- Topics
- Advanced Statistical Methods and Models (12 papers)COVID-19 epidemiological studies (8 papers)Influenza Virus Research Studies (6 papers)
- Cited by
- Statistics, Probability and UncertaintyModeling and SimulationManagement Science and Operations Research
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of the American Statistical Association
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Richard J. Beckman
73 papers receiving 14.9k citations
Hit Papers
Peers
Comparison fields: 5 of 232
- Statistics, Probability and Uncertainty 2.7k
- Computational Theory and Mathematics 2.2k
- Civil and Structural Engineering 2.0k
- Management Science and Operations Research 1.8k
- Mechanical Engineering 1.5k
Countries citing papers authored by Richard J. Beckman
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 25 | |
| 3 | 21 | |
| 4 | 16 | |
| 5 | 24 | |
| 6 | 9 | |
| 7 | A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Codebreakdown → | 5480 |
| 8 | 1 | |
| 9 | 335 | |
| 10 | 19 | |
| 11 | AutoGate: A Macintosh cluster analysis program for flow cytometry data | 2 |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 32 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 35 | |
| 18 | 11 | |
| 19 | 51 | |
| 20 | Probability and Statistics for Engineers and Scientists.breakdown → | 2150 |
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) and Influenza Virus Research Studies (6 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.