Scott M. Kowalski
- Management Science and Operations Research top 1%
- Computational Theory and Mathematics top 2%
- Statistics, Probability and Uncertainty top 1%
- Analytical Chemistry top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- G. Geoffrey ViningDouglas C. MontgomeryConnie M. BorrorRaymond H. MyersJohn A. CornellPeter A. ParkerJames SimpsonDrew Landman
- Topics
- Optimal Experimental Design Methods (18 papers)Advanced Multi-Objective Optimization Algorithms (11 papers)Probabilistic and Robust Engineering Design (4 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyComputational Theory and Mathematics
- Journals
- TechnometricsJournal of the Royal Statistical Society Series C (Applied Statistics)Journal of Quality Technology
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Scott M. Kowalski
19 papers receiving 935 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Management Science and Operations Research 495
- Computational Theory and Mathematics 294
- Statistics, Probability and Uncertainty 199
- Analytical Chemistry 139
- Industrial and Manufacturing Engineering 133
Countries citing papers authored by Scott M. Kowalski
This map shows the geographic impact of Scott M. Kowalski'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 Scott M. Kowalski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott M. Kowalski more than expected).
Fields of papers citing papers by Scott M. Kowalski
This network shows the impact of papers produced by Scott M. Kowalski. 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 Scott M. Kowalski. The network helps show where Scott M. Kowalski may publish in the future.
Co-authorship network of co-authors of Scott M. Kowalski
This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Kowalski. A scholar is included among the top collaborators of Scott M. Kowalski 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 Scott M. Kowalski. Scott M. Kowalski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 24 | |
| 7 | 40 | |
| 8 | Response surface designs within a split-plot structure | 6 |
| 9 | 37 | |
| 10 | 32 | |
| 11 | 7 | |
| 12 | 97 | |
| 13 | 12 | |
| 14 | Response Surface Methodology: A Retrospective and Literature Surveybreakdown → | 517 |
| 15 | 23 | |
| 16 | How to Recognize A Split-Plot Experiment | 18 |
| 17 | 83 | |
| 18 | 27 | |
| 19 | 49 |
About Scott M. Kowalski
Scott M. Kowalski is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (11 papers) and Probabilistic and Robust Engineering Design (4 papers). The work is most often cited by research in Management Science and Operations Research (495 citations), Statistics, Probability and Uncertainty (199 citations) and Computational Theory and Mathematics (294 citations). Scott M. Kowalski has collaborated with scholars based in United States, Germany and France. Frequent co-authors include G. Geoffrey Vining, Douglas C. Montgomery, Connie M. Borror, Raymond H. Myers, John A. Cornell, Peter A. Parker, Peter A. Parker, James Simpson, Drew Landman and Willis A. Jensen. Their work appears in journals such as Technometrics, Journal of the Royal Statistical Society Series C (Applied Statistics) 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.