W. J. Studden
- Management Science and Operations Research top 0.1%
- Computational Theory and Mathematics top 0.2%
- Statistics and Probability top 0.5%
- Statistics, Probability and Uncertainty top 0.2%
- Applied Mathematics top 1%
- Co-authors
- Samuel KarlinDemetrios A. KapposEugene M. KlimkoAgnes M. HerzbergHenry P. WynnV. V. FedorovHolger DetteGirdhar G. Agarwal
- Topics
- Optimal Experimental Design Methods (35 papers)Advanced Multi-Objective Optimization Algorithms (23 papers)Mathematical functions and polynomials (11 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyStatistics and Probability
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
W. J. Studden
58 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Management Science and Operations Research 1.9k
- Computational Theory and Mathematics 1.6k
- Statistics and Probability 887
- Statistics, Probability and Uncertainty 851
- Applied Mathematics 549
Countries citing papers authored by W. J. Studden
This map shows the geographic impact of W. J. Studden'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 W. J. Studden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. J. Studden more than expected).
Fields of papers citing papers by W. J. Studden
This network shows the impact of papers produced by W. J. Studden. 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 W. J. Studden. The network helps show where W. J. Studden may publish in the future.
Co-authorship network of co-authors of W. J. Studden
This figure shows the co-authorship network connecting the top 25 collaborators of W. J. Studden. A scholar is included among the top collaborators of W. J. Studden 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 W. J. Studden. W. J. Studden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 39 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 100 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 6 | |
| 19 | 24 | |
| 20 | 11 |
About W. J. Studden
W. J. Studden is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 59 papers that have together received 4.2k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (35 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Mathematical functions and polynomials (11 papers). The work is most often cited by research in Management Science and Operations Research (1.9k citations), Statistics, Probability and Uncertainty (851 citations) and Statistics and Probability (887 citations). W. J. Studden has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Samuel Karlin, Demetrios A. Kappos, Eugene M. Klimko, Agnes M. Herzberg, Henry P. Wynn, V. V. Fedorov, Holger Dette, Girdhar G. Agarwal, Andrew L. Rukhin and Yong Bin Lim. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrika.
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.