Richard M. Brugger
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 5%
- Statistics, Probability and Uncertainty top 5%
- Economics and Econometrics
- Co-authors
- Samuel KotzNorman L. JohnsonAdrienne W. KempStephen B. VardemanKenneth S. StephensV.E. KaneRichard F. GunstRobert Mason
- Topics
- Manufacturing Process and Optimization (2 papers)Advanced Statistical Process Monitoring (2 papers)Optimization and Mathematical Programming (2 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Richard M. Brugger
17 papers receiving 578 citations
Peers
Comparison fields: 5 of 139
- Statistics and Probability 206
- Artificial Intelligence 107
- Management Science and Operations Research 88
- Statistics, Probability and Uncertainty 80
- Economics and Econometrics 57
Countries citing papers authored by Richard M. Brugger
This map shows the geographic impact of Richard M. Brugger'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 M. Brugger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Brugger more than expected).
Fields of papers citing papers by Richard M. Brugger
This network shows the impact of papers produced by Richard M. Brugger. 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 M. Brugger. The network helps show where Richard M. Brugger may publish in the future.
Co-authorship network of co-authors of Richard M. Brugger
This figure shows the co-authorship network connecting the top 25 collaborators of Richard M. Brugger. A scholar is included among the top collaborators of Richard M. Brugger 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 M. Brugger. Richard M. Brugger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 41 | |
| 4 | 13 | |
| 5 | 301 | |
| 6 | 176 | |
| 7 | 2 | |
| 8 | 14 | |
| 9 | 9 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 18 |
About Richard M. Brugger
Richard M. Brugger is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering, having authored 18 papers that have together received 623 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (2 papers), Advanced Statistical Process Monitoring (2 papers) and Optimization and Mathematical Programming (2 papers). The work is most often cited by research in Statistics and Probability (206 citations), Statistics, Probability and Uncertainty (80 citations) and Management Science and Operations Research (88 citations). Richard M. Brugger has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Samuel Kotz, Norman L. Johnson, Adrienne W. Kemp, Stephen B. Vardeman, Kenneth S. Stephens, V.E. Kane, Richard F. Gunst, Robert Mason and David H. Evans. Their work appears in journals such as Technometrics, The American Statistician and Journal of Quality Technology.
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.