Philip Pallmann
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
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- Trauma, Hemostasis, Coagulopathy, Resuscitation
Papers in
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- Statistical Methods in Clinical Trials 16
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- Health Systems, Economic Evaluations, Quality of Life 10
- Co-authors
- Thomas Jaki (13 shared papers)Munyaradzi Dimairo (9 shared papers)Laura Flight (5 shared papers)Babak Choodari‐Oskooei (6 shared papers)Adrian Mander (4 shared papers)Christopher J. Weir (4 shared papers)James Wason (4 shared papers)Christina Yap (3 shared papers)
- Journals
- BMJ Open (6 papers)Statistics in Medicine (6 papers)PLoS ONE (4 papers)BMC Medicine (3 papers)Trials (3 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Philip Pallmann
55 papers receiving 1.1k citations
Philip Pallmann's Hit Papers
Peers
Comparison fields: 5 of 147
- Statistics and Probability 283
- Critical Care and Intensive Care Medicine 56
- Statistics, Probability and Uncertainty 79
- Applied Microbiology and Biotechnology 14
- Management Science and Operations Research 98
Countries citing papers authored by Philip Pallmann
This map shows the geographic impact of Philip Pallmann'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 Philip Pallmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Pallmann more than expected).
Fields of papers citing papers by Philip Pallmann
This network shows the impact of papers produced by Philip Pallmann. 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 Philip Pallmann. The network helps show where Philip Pallmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Pallmann, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive designs in clinical trials: why use them, and how to run and report them Hit paper breakdown → | 2018 | 463 |
| 2 | 2020 | 65 | |
| 3 | 2020 | 42 | |
| 4 | 2021 | 40 | |
| 5 | 2018 | 33 | |
| 6 | 2022 | 31 | |
| 7 | 2012 | 29 | |
| 8 | 2016 | 29 | |
| 9 | 2015 | 27 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2015 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2014 | 14 | |
| 20 | 2017 | 12 |
About Philip Pallmann
Philip Pallmann is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Molecular Biology and Epidemiology, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (16 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Optimal Experimental Design Methods (8 papers), Sepsis Diagnosis and Treatment (6 papers), Genetic Neurodegenerative Diseases (6 papers), Insect Pest Control Strategies (5 papers), Maternal and fetal healthcare (5 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Statistics and Probability (283 citations), Critical Care and Intensive Care Medicine (56 citations), Statistics, Probability and Uncertainty (79 citations), Applied Microbiology and Biotechnology (14 citations) and Management Science and Operations Research (98 citations). Philip Pallmann has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Thomas Jaki, Munyaradzi Dimairo, Laura Flight, Babak Choodari‐Oskooei, Adrian Mander, Christopher J. Weir, James Wason, Christina Yap, Lisa V. Hampson and Graham Wheeler. Their work appears in journals such as BMJ Open, Statistics in Medicine, PLoS ONE, BMC Medicine and Trials.
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.