William I. Notz
- Computational Theory and Mathematics top 0.2%
- Management Science and Operations Research top 0.2%
- Statistics, Probability and Uncertainty top 0.1%
- Artificial Intelligence top 2%
- Statistics and Probability top 1%
- Co-authors
- Thomas J. SantnerBrian J. WilliamsTheodore T. AllenD. HuangBrian WilliamsRA MillerDonald L. BartelDibyen Majumdar
- Topics
- Optimal Experimental Design Methods (30 papers)Advanced Multi-Objective Optimization Algorithms (20 papers)Statistical Methods in Clinical Trials (7 papers)
- Cited by
- Statistics, Probability and UncertaintyManagement Science and Operations ResearchComputational Theory and Mathematics
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
William I. Notz
45 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Computational Theory and Mathematics 1.7k
- Management Science and Operations Research 1.4k
- Statistics, Probability and Uncertainty 1.1k
- Artificial Intelligence 672
- Statistics and Probability 281
Countries citing papers authored by William I. Notz
This map shows the geographic impact of William I. Notz'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 William I. Notz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William I. Notz more than expected).
Fields of papers citing papers by William I. Notz
This network shows the impact of papers produced by William I. Notz. 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 William I. Notz. The network helps show where William I. Notz may publish in the future.
Co-authorship network of co-authors of William I. Notz
This figure shows the co-authorship network connecting the top 25 collaborators of William I. Notz. A scholar is included among the top collaborators of William I. Notz 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 William I. Notz. William I. Notz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | Sequential calibration of computer models | 3 |
| 3 | 49 | |
| 4 | 443 | |
| 5 | 0 | |
| 6 | The Design and Analysis of Computer Experimentsbreakdown → | 1547 |
| 7 | Sequential design of computer experiments for robust parameter design | 11 |
| 8 | 28 | |
| 9 | Sequential design of computer experiments to minimize integrated response functions | 80 |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 15 | |
| 16 | 14 | |
| 17 | 27 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 25 |
About William I. Notz
William I. Notz is a scholar working on Management Science and Operations Research, Statistics and Probability and Computational Theory and Mathematics, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (30 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Management Science and Operations Research (1.4k citations) and Computational Theory and Mathematics (1.7k citations). William I. Notz has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Thomas J. Santner, Brian J. Williams, Theodore T. Allen, D. Huang, Brian Williams, RA Miller, Donald L. Bartel, Dibyen Majumdar, Michael A. Fligner and Jonathan Bart. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Mathematics of Computation.
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.