John Tyssedal
Impact in
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- Optimal Experimental Design Methods
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
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- Optimal Experimental Design Methods 14
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- Advanced Multi-Objective Optimization Algorithms 9
- Co-authors
- Dag Tjøstheim (2 shared papers)Murat Külahçı (6 shared papers)R. Gimse (1 shared paper)Carsten Tjell (1 shared paper)George E. P. Box (1 shared paper)Lisa Lorentzen (1 shared paper)Vidar Gynnild (1 shared paper)A. Charnes (1 shared paper)
In The Last Decade
John Tyssedal
20 papers receiving 211 citations
Peers
Comparison fields: 5 of 85
- Management Science and Operations Research 63
- Statistics and Probability 32
- Finance 37
- Computational Theory and Mathematics 35
- Statistics, Probability and Uncertainty 14
Countries citing papers authored by John Tyssedal
This map shows the geographic impact of John Tyssedal'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 Tyssedal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Tyssedal more than expected).
Fields of papers citing papers by John Tyssedal
This network shows the impact of papers produced by John Tyssedal. 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 Tyssedal. The network helps show where John Tyssedal may publish in the future.
Co-authors
The 10 scholars most cited alongside John Tyssedal, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 48 | |
| 2 | 1997 | 44 | |
| 3 | 2011 | 20 | |
| 4 | 2001 | 18 | |
| 5 | 2005 | 15 | |
| 6 | 1982 | 14 | |
| 7 | 2006 | 11 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2005 | 8 | |
| 11 | 2016 | 5 | |
| 12 | 1983 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2013 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2015 | 3 | |
| 18 | 2016 | 2 | |
| 19 | 2009 | 2 | |
| 20 | 2022 | 1 |
About John Tyssedal
John Tyssedal is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Statistics and Probability, Industrial and Manufacturing Engineering and Control and Systems Engineering, having authored 22 papers that have together received 234 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (14 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Manufacturing Process and Optimization (5 papers), Advanced Statistical Methods and Models (3 papers), Statistical Methods in Clinical Trials (3 papers), Machine Learning and Algorithms (2 papers), Machine Learning and Data Classification (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Management Science and Operations Research (63 citations), Statistics and Probability (32 citations), Finance (37 citations), Computational Theory and Mathematics (35 citations) and Statistics, Probability and Uncertainty (14 citations). John Tyssedal has collaborated with scholars based in Norway, Denmark and Sweden. Frequent co-authors include Dag Tjøstheim, Murat Külahçı, R. Gimse, Carsten Tjell, George E. P. Box, Lisa Lorentzen, Vidar Gynnild, A. Charnes, W. W. Cooper and Søren Bisgaard. Their work appears in journals such as Quality and Reliability Engineering International, Journal of Statistical Planning and Inference, Journal of Computational and Graphical Statistics, Energy and Buildings and Quality Technology & Quantitative Management.
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.