Tim Kramer
Impact in
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- Advanced Statistical Process Monitoring
- Scientific Measurement and Uncertainty Evaluation
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- Quality and Safety in Healthcare
Papers in
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- Advanced Statistical Process Monitoring 6
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- Military Strategy and Technology 2
- Engineering and Test Systems 1
- Co-authors
- George E. P. Box (3 shared papers)Jon Hilden (1 shared paper)Matthew B. Thompson (1 shared paper)H. R. Everett (1 shared paper)Nathan Farrington (1 shared paper)Douglas A. Few (1 shared paper)David J. Bruemmer (1 shared paper)
- Journals
- Technometrics (5 papers)Journal of Pharmaceutical Sciences (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (5 papers)Minds at UW (University of Wisconsin) (1 paper)
- Partner nations
- United States
In The Last Decade
Tim Kramer
11 papers receiving 310 citations
Peers
Comparison fields: 5 of 71
- Statistics, Probability and Uncertainty 236
- Medical Laboratory Technology 20
- Industrial and Manufacturing Engineering 74
- Control and Systems Engineering 149
- Statistics and Probability 38
Countries citing papers authored by Tim Kramer
This map shows the geographic impact of Tim Kramer'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 Tim Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Kramer more than expected).
Fields of papers citing papers by Tim Kramer
This network shows the impact of papers produced by Tim Kramer. 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 Tim Kramer. The network helps show where Tim Kramer may publish in the future.
Co-authors
The 7 scholars most cited alongside Tim Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 238 | |
| 2 | 1992 | 40 | |
| 3 | 2018 | 32 | |
| 4 | 2005 | 10 | |
| 5 | 2006 | 6 | |
| 6 | 2006 | 6 | |
| 7 | 1992 | 4 | |
| 8 | Statistical Process Control and Automatic Process Control: A Discussion | 1992 | 4 |
| 9 | 1990 | 3 | |
| 10 | 1990 | 2 | |
| 11 | 2006 | 2 | |
| 12 | 2009 | 0 |
About Tim Kramer
Tim Kramer is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Statistics and Probability, having authored 12 papers that have together received 347 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (6 papers), Military Strategy and Technology (2 papers), Statistical Methods in Clinical Trials (2 papers), Military Defense Systems Analysis (1 paper), Protein purification and stability (1 paper), Engineering and Test Systems (1 paper), Advanced Computational Techniques and Applications (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (236 citations), Medical Laboratory Technology (20 citations), Industrial and Manufacturing Engineering (74 citations), Control and Systems Engineering (149 citations) and Statistics and Probability (38 citations). Tim Kramer has collaborated with scholars based in United States. Frequent co-authors include George E. P. Box, Jon Hilden, Matthew B. Thompson, H. R. Everett, Nathan Farrington, Douglas A. Few and David J. Bruemmer. Their work appears in journals such as Technometrics, Journal of Pharmaceutical Sciences, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Minds at UW (University of Wisconsin).
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.