David Ohlssen
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Advanced Causal Inference Techniques
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- Meta-analysis and systematic reviews
Papers in
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- Statistical Methods in Clinical Trials 20
- Statistical Methods and Inference 8
- Advanced Causal Inference Techniques 7
- Statistical Methods and Bayesian Inference 5
- Statistics Education and Methodologies 2
- Statistical Distribution Estimation and Applications 1
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- Optimal Experimental Design Methods 8
- Co-authors
- David J. Spiegelhalter (4 shared papers)Linda Sharples (2 shared papers)Hayley E. Jones (2 shared papers)Heinz Schmidli (4 shared papers)Beat Neuenschwander (2 shared papers)Amy Racine (2 shared papers)Michael Branson (1 shared paper)Björn Bornkamp (5 shared papers)
- Journals
- Pharmaceutical Statistics (8 papers)Statistics in Biopharmaceutical Research (5 papers)Statistics in Medicine (3 papers)Journal of Biopharmaceutical Statistics (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
David Ohlssen
32 papers receiving 641 citations
Peers
Comparison fields: 5 of 108
- Statistics and Probability 352
- Statistics, Probability and Uncertainty 63
- Economics and Econometrics 157
- Management Science and Operations Research 63
- Health Informatics 6
Countries citing papers authored by David Ohlssen
This map shows the geographic impact of David Ohlssen'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 David Ohlssen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Ohlssen more than expected).
Fields of papers citing papers by David Ohlssen
This network shows the impact of papers produced by David Ohlssen. 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 David Ohlssen. The network helps show where David Ohlssen may publish in the future.
Co-authors
The 25 scholars most cited alongside David Ohlssen, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 126 | |
| 2 | 2011 | 76 | |
| 3 | 2007 | 72 | |
| 4 | 2007 | 55 | |
| 5 | 2013 | 52 | |
| 6 | 2017 | 47 | |
| 7 | 2007 | 37 | |
| 8 | 2013 | 27 | |
| 9 | 2013 | 23 | |
| 10 | 2016 | 21 | |
| 11 | 2013 | 19 | |
| 12 | 2017 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2015 | 7 | |
| 19 | 2015 | 5 | |
| 20 | 2022 | 4 |
About David Ohlssen
David Ohlssen is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence and Molecular Biology, having authored 32 papers that have together received 655 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (20 papers), Statistical Methods and Inference (8 papers), Optimal Experimental Design Methods (8 papers), Advanced Causal Inference Techniques (7 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Statistical Methods and Bayesian Inference (5 papers), Statistics Education and Methodologies (2 papers) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Statistics and Probability (352 citations), Statistics, Probability and Uncertainty (63 citations), Economics and Econometrics (157 citations), Management Science and Operations Research (63 citations) and Health Informatics (6 citations). David Ohlssen has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include David J. Spiegelhalter, Linda Sharples, Hayley E. Jones, Heinz Schmidli, Beat Neuenschwander, Amy Racine, Michael Branson, Björn Bornkamp, Frank Bretz and Marc Vandemeulebroecke. Their work appears in journals such as Pharmaceutical Statistics, Statistics in Biopharmaceutical Research, Statistics in Medicine, Journal of Biopharmaceutical Statistics and Journal of the Royal Statistical Society Series C (Applied Statistics).
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.