John Stufken
Impact in
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- Optimal Experimental Design Methods
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
Papers in
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- Optimal Experimental Design Methods 52
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- Statistical Methods in Clinical Trials 11
- Statistical Methods and Inference 7
- Co-authors
- A. HedayatN. J. A. SloaneLih‐Yuan DengMin YangHaiYing WangJoachim KunertAbhyuday MandalC. Radhakrishna Rao
- Journals
- Journal of Statistical Planning and Inference (15 papers)Journal of the American Statistical Association (10 papers)The Annals of Statistics (6 papers)Technometrics (5 papers)Statistica Sinica (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
John Stufken
62 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Management Science and Operations Research 1.1k
- Statistics and Probability 425
- Statistics, Probability and Uncertainty 313
- Computational Theory and Mathematics 680
- Industrial and Manufacturing Engineering 326
Countries citing papers authored by John Stufken
This map shows the geographic impact of John Stufken'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 John Stufken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Stufken more than expected).
Fields of papers citing papers by John Stufken
This network shows the impact of papers produced by John Stufken. 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 John Stufken. The network helps show where John Stufken may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Stufken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2020 | 0 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 135 | |
| 9 | 2012 | 11 | |
| 10 | 2010 | 8 | |
| 11 | 2008 | 56 | |
| 12 | 2006 | 8 | |
| 13 | Orthogonal Arrays: Theory and Applications Hit paper breakdown → | 2000 | 743 |
| 14 | Trend-free block designs for higher order trends | 1999 | 0 |
| 15 | 1997 | 6 | |
| 16 | 1997 | 19 | |
| 17 | 1991 | 0 | |
| 18 | 1988 | 6 | |
| 19 | 1988 | 17 | |
| 20 | Some Mathematical Results on Incomplete Orthogonal Arrays. | 1986 | 2 |
About John Stufken
John Stufken is a scholar working on Management Science and Operations Research, Statistics and Probability, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (52 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), graph theory and CDMA systems (15 papers), Statistical Methods in Clinical Trials (11 papers), Manufacturing Process and Optimization (9 papers), Probabilistic and Robust Engineering Design (7 papers), Statistical Methods and Inference (7 papers) and Product Development and Customization (6 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Statistics and Probability (425 citations), Statistics, Probability and Uncertainty (313 citations), Computational Theory and Mathematics (680 citations) and Industrial and Manufacturing Engineering (326 citations). John Stufken has collaborated with scholars based in United States, Germany and China. Frequent co-authors include A. Hedayat, N. J. A. Sloane, Lih‐Yuan Deng, Min Yang, HaiYing Wang, Joachim Kunert, Abhyuday Mandal, C. Radhakrishna Rao, Angela Dean and Daniel Voss. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of the American Statistical Association, The Annals of Statistics, Technometrics and Statistica Sinica.
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.