Manuela Ott
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
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- Meta-analysis and systematic reviews
Papers in
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- Statistical Methods in Clinical Trials 6
- Statistical Methods and Bayesian Inference 4
- Statistical Methods and Inference 2
- Advanced Statistical Methods and Models 2
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- Meta-analysis and systematic reviews 4
- scientometrics and bibliometrics research 1
- Co-authors
- Leonhard Held (5 shared papers)Martyn Plummer (1 shared paper)Małgorzata Roos (1 shared paper)Rachel Heyard (1 shared paper)Robert Matthews (1 shared paper)Georgia Salanti (1 shared paper)Matthias Egger (1 shared paper)Stefanie Muff (1 shared paper)
- Journals
- Statistics in Medicine (1 paper)The American Statistician (1 paper)International Statistical Review (1 paper)Computational Statistics & Data Analysis (1 paper)Research Synthesis Methods (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Manuela Ott
7 papers receiving 260 citations
Peers
Comparison fields: 5 of 102
- Statistics and Probability 93
- Statistics, Probability and Uncertainty 55
- General Decision Sciences 5
- Finance 18
- Management Science and Operations Research 21
Countries citing papers authored by Manuela Ott
This map shows the geographic impact of Manuela Ott'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 Manuela Ott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Ott more than expected).
Fields of papers citing papers by Manuela Ott
This network shows the impact of papers produced by Manuela Ott. 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 Manuela Ott. The network helps show where Manuela Ott may publish in the future.
Co-authors
The 9 scholars most cited alongside Manuela Ott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 170 | |
| 2 | 2016 | 53 | |
| 3 | 2021 | 13 | |
| 4 | 2022 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2017 | 6 | |
| 7 | 2018 | 3 |
About Manuela Ott
Manuela Ott is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Economics and Econometrics, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 267 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Bayesian Inference (4 papers), Meta-analysis and systematic reviews (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods and Inference (2 papers), Advanced Statistical Methods and Models (2 papers) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Statistics and Probability (93 citations), Statistics, Probability and Uncertainty (55 citations), General Decision Sciences (5 citations), Finance (18 citations) and Management Science and Operations Research (21 citations). Manuela Ott has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Leonhard Held, Martyn Plummer, Małgorzata Roos, Rachel Heyard, Robert Matthews, Georgia Salanti, Matthias Egger, Stefanie Muff and Julia Braun. Their work appears in journals such as Statistics in Medicine, The American Statistician, International Statistical Review, Computational Statistics & Data Analysis and Research Synthesis Methods.
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.