Marie Gaudard
- Statistics, Probability and Uncertainty top 0.5%
- Statistics and Probability top 2%
- Control and Systems Engineering top 10%
- Mechanical Engineering
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Philip J. RamseyDouglas C. MontgomeryJoan Ferrini‐MundyMarvin J. KarsonErnst LinderDebajyoti SinhaBrian L. JoinerG. Rex Bryce
- Topics
- Advanced Statistical Process Monitoring (5 papers)Advanced Statistical Methods and Models (4 papers)Statistical Methods and Bayesian Inference (2 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityMedical Laboratory Technology
- Partner nations
- United States
In The Last Decade
Marie Gaudard
20 papers receiving 732 citations
Peers
Comparison fields: 5 of 142
- Statistics, Probability and Uncertainty 345
- Statistics and Probability 174
- Control and Systems Engineering 131
- Mechanical Engineering 84
- Industrial and Manufacturing Engineering 75
Countries citing papers authored by Marie Gaudard
This map shows the geographic impact of Marie Gaudard'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 Marie Gaudard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Gaudard more than expected).
Fields of papers citing papers by Marie Gaudard
This network shows the impact of papers produced by Marie Gaudard. 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 Marie Gaudard. The network helps show where Marie Gaudard may publish in the future.
Co-authorship network of co-authors of Marie Gaudard
This figure shows the co-authorship network connecting the top 25 collaborators of Marie Gaudard. A scholar is included among the top collaborators of Marie Gaudard 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 Marie Gaudard. Marie Gaudard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Discovering Partial Least Squares with JMP | 44 |
| 2 | Visual Six Sigma: Making Data Analysis Lean | 12 |
| 3 | 6 | |
| 4 | 2 | |
| 5 | Classification of Breast Cancer Cells Using JMP | 1 |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 45 | |
| 9 | 10 | |
| 10 | 327 | |
| 11 | 240 | |
| 12 | 27 | |
| 13 | 33 | |
| 14 | 2 | |
| 15 | Sigma-Algebras on Spaces of Probability Measures | 9 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 1 |
About Marie Gaudard
Marie Gaudard is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and General Decision Sciences, having authored 21 papers that have together received 784 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (5 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (345 citations), Statistics and Probability (174 citations) and Medical Laboratory Technology (31 citations). Marie Gaudard has collaborated with scholars based in United States. Frequent co-authors include Philip J. Ramsey, Douglas C. Montgomery, Joan Ferrini‐Mundy, Marvin J. Karson, Ernst Linder, Debajyoti Sinha, Brian L. Joiner, G. Rex Bryce, Paul J. Ossenbruggen and Robert J. Weaver. Their work appears in journals such as Technometrics, Transactions of the American Mathematical Society and The American Statistician.
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.