Daniel Voss
Impact in
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- Optimal Experimental Design Methods
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- Manufacturing Process and Optimization
- Scheduling and Optimization Algorithms
Papers in
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- Optimal Experimental Design Methods 24
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- Statistical Methods in Clinical Trials 14
- Statistical Methods and Inference 2
- Co-authors
- Danel Draguljić (16 shared papers)Angela Dean (1 shared paper)Angela Dean (21 shared papers)Brett G. Amidan (1 shared paper)John Stufken (1 shared paper)Weizhen Wang (6 shared papers)Steffen Leonhardt (2 shared papers)Chuong Ngo (2 shared papers)
- Journals
- Journal of Statistical Planning and Inference (4 papers)Journal of the American Statistical Association (3 papers)The Annals of Statistics (3 papers)Technometrics (3 papers)The American Statistician (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Daniel Voss
48 papers receiving 4.4k citations
Daniel Voss's Hit Papers
Peers
Comparison fields: 5 of 212
- Management Science and Operations Research 421
- Industrial and Manufacturing Engineering 329
- Statistics, Probability and Uncertainty 205
- Statistics and Probability 204
- Mechanical Engineering 871
Countries citing papers authored by Daniel Voss
This map shows the geographic impact of Daniel Voss'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 Daniel Voss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Voss more than expected).
Fields of papers citing papers by Daniel Voss
This network shows the impact of papers produced by Daniel Voss. 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 Daniel Voss. The network helps show where Daniel Voss may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel Voss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Design and Analysis of Experiments Hit paper breakdown → | 2017 | 2435 |
| 2 | Design and Analysis of Experiments Hit paper breakdown → | 2000 | 1061 |
| 3 | 1999 | 377 | |
| 4 | 2017 | 141 | |
| 5 | 2006 | 141 | |
| 6 | 2019 | 60 | |
| 7 | 2000 | 58 | |
| 8 | 2022 | 42 | |
| 9 | 1988 | 32 | |
| 10 | 1996 | 19 | |
| 11 | 1999 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 1999 | 14 | |
| 14 | 1999 | 13 | |
| 15 | 1999 | 11 | |
| 16 | 1987 | 7 | |
| 17 | 2001 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2017 | 6 | |
| 20 | ON ADAPTIVE TESTING IN ORTHOGONAL SATURATED DESIGNS | 2006 | 5 |
About Daniel Voss
Daniel Voss is a scholar working on Management Science and Operations Research, Statistics and Probability, Computational Theory and Mathematics, Biomedical Engineering and Statistics, Probability and Uncertainty, having authored 54 papers that have together received 4.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (24 papers), Statistical Methods in Clinical Trials (14 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Manufacturing Process and Optimization (3 papers), Advanced Statistical Process Monitoring (3 papers), Color Science and Applications (2 papers), Muscle activation and electromyography studies (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Management Science and Operations Research (421 citations), Industrial and Manufacturing Engineering (329 citations), Statistics, Probability and Uncertainty (205 citations), Statistics and Probability (204 citations) and Mechanical Engineering (871 citations). Daniel Voss has collaborated with scholars based in United States and Germany. Frequent co-authors include Danel Draguljić, Angela Dean, Angela Dean, Brett G. Amidan, John Stufken, Weizhen Wang, Steffen Leonhardt, Chuong Ngo, Fabian Brinkmann and Pamela S. Tsang. 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 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.