Cynthia A. Lowry
- Statistics, Probability and Uncertainty top 0.05%
- Statistics and Probability top 0.5%
- Control and Systems Engineering top 2%
- Medical Laboratory Technology top 1%
- Management Science and Operations Research top 5%
- Co-authors
- Charles W. ChampDouglas C. MontgomerySteven E. RigdonWilliam H. WoodallT. E. DielmanRoger C. Pfaffenberger
- Topics
- Advanced Statistical Process Monitoring (4 papers)Advanced Statistical Methods and Models (2 papers)Scientific Measurement and Uncertainty Evaluation (2 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityMedical Laboratory Technology
- Journals
- TechnometricsCommunications in Statistics - Simulation and ComputationIIE Transactions
- Partner nations
- United States
In The Last Decade
Cynthia A. Lowry
6 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Statistics, Probability and Uncertainty 1.4k
- Statistics and Probability 849
- Control and Systems Engineering 596
- Medical Laboratory Technology 113
- Management Science and Operations Research 103
Countries citing papers authored by Cynthia A. Lowry
This map shows the geographic impact of Cynthia A. Lowry'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 Cynthia A. Lowry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia A. Lowry more than expected).
Fields of papers citing papers by Cynthia A. Lowry
This network shows the impact of papers produced by Cynthia A. Lowry. 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 Cynthia A. Lowry. The network helps show where Cynthia A. Lowry may publish in the future.
Co-authorship network of co-authors of Cynthia A. Lowry
This figure shows the co-authorship network connecting the top 25 collaborators of Cynthia A. Lowry. A scholar is included among the top collaborators of Cynthia A. Lowry 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 Cynthia A. Lowry. Cynthia A. Lowry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | A review of multivariate control chartsbreakdown → | 515 |
| 3 | Adjusting the S-Chart for Detecting Both Increases and Decreases in the Standard Deviation | 9 |
| 4 | 51 | |
| 5 | 130 | |
| 6 | A Multivariate Exponentially Weighted Moving Average Control Chartbreakdown → | 856 |
About Cynthia A. Lowry
Cynthia A. Lowry is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Finance, having authored 6 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (4 papers), Advanced Statistical Methods and Models (2 papers) and Scientific Measurement and Uncertainty Evaluation (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), Statistics and Probability (849 citations) and Medical Laboratory Technology (113 citations). Cynthia A. Lowry has collaborated with scholars based in United States. Frequent co-authors include Charles W. Champ, Douglas C. Montgomery, Steven E. Rigdon, William H. Woodall, T. E. Dielman and Roger C. Pfaffenberger. Their work appears in journals such as Technometrics, Communications in Statistics - Simulation and Computation and IIE Transactions.
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.