Jan Engel
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
- Statistical Distribution Estimation and Applications
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- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
Papers in
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- Optimal Experimental Design Methods 8
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- Statistical Distribution Estimation and Applications 6
- Statistical Methods and Bayesian Inference 3
- Co-authors
- Karin Frank (2 shared papers)Andreas Huth (2 shared papers)Sönke Zaehle (4 shared papers)Silvia Caldararu (3 shared papers)Bert de Vries (1 shared paper)Anne Ebeling (2 shared papers)Lin Yu (1 shared paper)Melanie Kern (2 shared papers)
- Journals
- Technometrics (4 papers)Journal of Applied Probability (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)Biogeosciences (1 paper)Displays (1 paper)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Jan Engel
36 papers receiving 606 citations
Peers
Comparison fields: 5 of 123
- Statistics and Probability 132
- Statistics, Probability and Uncertainty 111
- Management Science and Operations Research 168
- Industrial and Manufacturing Engineering 46
- Computational Theory and Mathematics 69
Countries citing papers authored by Jan Engel
This map shows the geographic impact of Jan Engel'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 Jan Engel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Engel more than expected).
Fields of papers citing papers by Jan Engel
This network shows the impact of papers produced by Jan Engel. 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 Jan Engel. The network helps show where Jan Engel may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Engel, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 86 | |
| 2 | 1996 | 59 | |
| 3 | 2005 | 53 | |
| 4 | 1984 | 51 | |
| 5 | 1996 | 49 | |
| 6 | 2019 | 48 | |
| 7 | 1992 | 41 | |
| 8 | 1991 | 36 | |
| 9 | 2017 | 35 | |
| 10 | 2011 | 30 | |
| 11 | 2012 | 28 | |
| 12 | 2022 | 23 | |
| 13 | 1980 | 16 | |
| 14 | 1997 | 14 | |
| 15 | 1996 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2024 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 1998 | 6 | |
| 20 | 2014 | 5 |
About Jan Engel
Jan Engel is a scholar working on Management Science and Operations Research, Statistics and Probability, Statistics, Probability and Uncertainty, Global and Planetary Change and Industrial and Manufacturing Engineering, having authored 38 papers that have together received 648 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (8 papers), Statistical Distribution Estimation and Applications (6 papers), Manufacturing Process and Optimization (4 papers), Probabilistic and Robust Engineering Design (4 papers), Advanced Statistical Process Monitoring (4 papers), Statistical Methods and Bayesian Inference (3 papers), Plant responses to elevated CO2 (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (132 citations), Statistics, Probability and Uncertainty (111 citations), Management Science and Operations Research (168 citations), Industrial and Manufacturing Engineering (46 citations) and Computational Theory and Mathematics (69 citations). Jan Engel has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Karin Frank, Andreas Huth, Sönke Zaehle, Silvia Caldararu, Bert de Vries, Anne Ebeling, Lin Yu, Melanie Kern, Reiner Schnur and Tea Thum. Their work appears in journals such as Technometrics, Journal of Applied Probability, Journal of the Royal Statistical Society Series C (Applied Statistics), Biogeosciences and Displays.
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.