Philip Pallmann
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
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- Meta-analysis and systematic reviews
Papers in
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- Statistical Methods in Clinical Trials 17
- Co-authors
- Thomas JakiMunyaradzi DimairoLaura FlightAdrian ManderBabak Choodari‐OskooeiJames WasonChristopher J. WeirLudwig A. Hothorn
- Journals
- Statistics in Medicine (6 papers)BMJ Open (5 papers)PLoS ONE (4 papers)BMC Medicine (3 papers)Trials (3 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Philip Pallmann
52 papers receiving 977 citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Statistics and Probability 292
- Statistics, Probability and Uncertainty 119
- Critical Care and Intensive Care Medicine 79
- Management Science and Operations Research 101
- Emergency Medicine 79
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 28 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 7 | |
| 19 | 2017 | 11 | |
| 20 | 2015 | 9 |
About Philip Pallmann
Philip Pallmann is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine, Statistics, Probability and Uncertainty, Applied Microbiology and Biotechnology and Family Practice, having authored 63 papers that have together received 990 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (17 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers), Optimal Experimental Design Methods (9 papers), Sepsis Diagnosis and Treatment (7 papers), Genetic Neurodegenerative Diseases (6 papers), Meta-analysis and systematic reviews (6 papers), Insect Pest Control Strategies (5 papers) and Maternal and fetal healthcare (5 papers). The work is most often cited by research in Statistics and Probability (292 citations), Statistics, Probability and Uncertainty (119 citations), Critical Care and Intensive Care Medicine (79 citations), Management Science and Operations Research (101 citations) and Emergency Medicine (79 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, Adrian Mander, Babak Choodari‐Oskooei, James Wason, Christopher J. Weir, Ludwig A. Hothorn, Graham Wheeler and Christina Yap. Their work appears in journals such as Statistics in Medicine, BMJ Open, 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.