Anne C. Shoemaker
- Management Science and Operations Research top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Computational Theory and Mathematics top 1%
- Industrial and Manufacturing Engineering top 0.5%
- Mechanical Engineering top 10%
- Co-authors
- Kwok‐Leung TsuiRaghu N. KackerChangbao WuRamón V. LeónJames M. LandwehrDaryl PregibonWilliam J. WelchShin Taguchi
- Topics
- Optimal Experimental Design Methods (10 papers)Manufacturing Process and Optimization (8 papers)Product Development and Customization (3 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
- Partner nations
- United StatesCanadaEgypt
In The Last Decade
Anne C. Shoemaker
16 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 124
- Management Science and Operations Research 1.1k
- Statistics, Probability and Uncertainty 700
- Computational Theory and Mathematics 586
- Industrial and Manufacturing Engineering 540
- Mechanical Engineering 222
Countries citing papers authored by Anne C. Shoemaker
This map shows the geographic impact of Anne C. Shoemaker'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 Anne C. Shoemaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne C. Shoemaker more than expected).
Fields of papers citing papers by Anne C. Shoemaker
This network shows the impact of papers produced by Anne C. Shoemaker. 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 Anne C. Shoemaker. The network helps show where Anne C. Shoemaker may publish in the future.
Co-authorship network of co-authors of Anne C. Shoemaker
This figure shows the co-authorship network connecting the top 25 collaborators of Anne C. Shoemaker. A scholar is included among the top collaborators of Anne C. Shoemaker 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 Anne C. Shoemaker. Anne C. Shoemaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 20 | |
| 3 | 5 | |
| 4 | 309 | |
| 5 | 414 | |
| 6 | 130 | |
| 7 | 193 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 167 | |
| 11 | 8 | |
| 12 | 134 | |
| 13 | An Explanation and Extension of Taguchi's Signal-to-Noise Ratios | 4 |
| 14 | 63 | |
| 15 | 5 | |
| 16 | 198 |
About Anne C. Shoemaker
Anne C. Shoemaker is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (10 papers), Manufacturing Process and Optimization (8 papers) and Product Development and Customization (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (700 citations), Management Science and Operations Research (1.1k citations) and Industrial and Manufacturing Engineering (540 citations). Anne C. Shoemaker has collaborated with scholars based in United States, Canada and Egypt. Frequent co-authors include Kwok‐Leung Tsui, Raghu N. Kacker, Changbao Wu, Ramón V. León, James M. Landwehr, Daryl Pregibon, William J. Welch, Shin Taguchi, James M. Lucas and Raymond H. Myers. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Journal of Heredity.
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.