David Ohlssen

957 citations
31 papers · 628 indexed · h-index 11

David Ohlssen

31 papers receiving 613 citations

Peers

David Ohlssen
Comparison fields: 5 of 111
  • Statistics and Probability 369
  • Statistics, Probability and Uncertainty 76
  • Economics and Econometrics 184
  • Management Science and Operations Research 66
  • Health Informatics 5
Replace Ying‐Qi Zhao with:
Ying‐Qi Zhao United States
Mark Chang United States
Babak Choodari‐Oskooei United Kingdom
Telba Irony United States
Ariel Alonso Belgium
Liuquan Sun China
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Satrajit Roychoudhury United States
Mojtaba Ganjali Iran
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Citations per year

Countries citing papers authored by David Ohlssen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with David Ohlssen Line = papers co-authored together David Ohlssen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20242
3 20241
4 20224
5 20227
6 20219
7 20209
8 20182
9 20171
10 201710
11 201745
12 201617
13 20155
14 20144
15 20114
16 201173
17 20093
18 200772
19 200735
20 2006120

About David Ohlssen

David Ohlssen is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics and Information Systems and Management, having authored 31 papers that have together received 628 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), Health Systems, Economic Evaluations, Quality of Life (7 papers), Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (6 papers), Statistics Education and Methodologies (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Statistics and Probability (369 citations), Statistics, Probability and Uncertainty (76 citations), Economics and Econometrics (184 citations), Management Science and Operations Research (66 citations) and Health Informatics (5 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, Marc Vandemeulebroecke and Frank Bretz. Their work appears in journals such as Pharmaceutical Statistics, Statistics in Biopharmaceutical Research, Statistics in Medicine, Journal of Biopharmaceutical Statistics and Clinical Pharmacology & Therapeutics.

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.

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