Kenneth S. Stephens
- Statistics, Probability and Uncertainty top 2%
- Statistics and Probability top 5%
- Management Information Systems top 10%
- Strategy and Management
- Management Science and Operations Research top 10%
- Co-authors
- A. Blanton GodfreyHarrison M. WadsworthRobert B. MillerDavid SylwesterRichard M. BruggerS. Lynne StokesH. F. DodgeJeffrey Sommers
- Topics
- Advanced Statistical Process Monitoring (5 papers)Industrial Vision Systems and Defect Detection (2 papers)Advanced Statistical Methods and Models (1 paper)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Information Systems
- Partner nations
- United StatesPoland
In The Last Decade
Kenneth S. Stephens
12 papers receiving 251 citations
Peers
Comparison fields: 5 of 81
- Statistics, Probability and Uncertainty 133
- Statistics and Probability 83
- Management Information Systems 72
- Strategy and Management 55
- Management Science and Operations Research 45
Countries citing papers authored by Kenneth S. Stephens
This map shows the geographic impact of Kenneth S. Stephens'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 Kenneth S. Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth S. Stephens more than expected).
Fields of papers citing papers by Kenneth S. Stephens
This network shows the impact of papers produced by Kenneth S. Stephens. 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 Kenneth S. Stephens. The network helps show where Kenneth S. Stephens may publish in the future.
Co-authorship network of co-authors of Kenneth S. Stephens
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Stephens. A scholar is included among the top collaborators of Kenneth S. Stephens 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 Kenneth S. Stephens. Kenneth S. Stephens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | The Handbook Of Applied Acceptance Sampling: Plans, Procedures And Principles | 30 |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 34 | |
| 8 | 181 | |
| 9 | 39 | |
| 10 | 5 | |
| 11 | Preparing for Standardization Certification and Quality Control | 1 |
| 12 | 2 | |
| 13 | 1 |
About Kenneth S. Stephens
Kenneth S. Stephens is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 306 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (5 papers), Industrial Vision Systems and Defect Detection (2 papers) and Advanced Statistical Methods and Models (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (133 citations), Statistics and Probability (83 citations) and Management Information Systems (72 citations). Kenneth S. Stephens has collaborated with scholars based in United States and Poland. Frequent co-authors include A. Blanton Godfrey, Harrison M. Wadsworth, Robert B. Miller, David Sylwester, Richard M. Brugger, S. Lynne Stokes, H. F. Dodge and Jeffrey Sommers. Their work appears in journals such as Journal of the American Statistical Association, Technometrics 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.