Martin Posch
Impact in
- Statistics and Probability top 0.1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
-
- Optimal Experimental Design Methods
Papers in
-
- Statistical Methods in Clinical Trials 103
- Advanced Causal Inference Techniques 27
- Statistical Methods and Inference 12
- Statistical Methods and Bayesian Inference 10
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- Optimal Experimental Design Methods 46
- Co-authors
- Werner BrannathPéter BauerFrank BretzFranz KoenigWilli MaurerVeronika Fialka‐MoserEkkehard GlimmFranz König
- Journals
- Statistics in Medicine (24 papers)Statistical Methods in Medical Research (13 papers)Statistics in Biopharmaceutical Research (11 papers)Pharmaceutical Statistics (9 papers)Biometrical Journal (9 papers)
- Partner nations
- AustriaGermanyUnited Kingdom
In The Last Decade
Martin Posch
210 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Statistics and Probability 2.3k
- Management Science and Operations Research 1.3k
- Transplantation 187
- Statistics, Probability and Uncertainty 346
- Oral Surgery 247
Countries citing papers authored by Martin Posch
This map shows the geographic impact of Martin Posch'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 Martin Posch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Posch more than expected).
Fields of papers citing papers by Martin Posch
This network shows the impact of papers produced by Martin Posch. 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 Martin Posch. The network helps show where Martin Posch may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Posch, 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 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2020 | 82 | |
| 16 | 2020 | 14 | |
| 17 | 2019 | 6 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 14 | |
| 20 | 2017 | 38 |
About Martin Posch
Martin Posch is a scholar working on Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Economics and Econometrics and Anesthesiology and Pain Medicine, having authored 219 papers that have together received 6.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (103 papers), Optimal Experimental Design Methods (46 papers), Health Systems, Economic Evaluations, Quality of Life (43 papers), Advanced Causal Inference Techniques (27 papers), Statistical Methods and Inference (12 papers), Statistical Methods and Bayesian Inference (10 papers), Gene expression and cancer classification (9 papers) and Biosimilars and Bioanalytical Methods (9 papers). The work is most often cited by research in Statistics and Probability (2.3k citations), Management Science and Operations Research (1.3k citations), Transplantation (187 citations), Statistics, Probability and Uncertainty (346 citations) and Oral Surgery (247 citations). Martin Posch has collaborated with scholars based in Austria, Germany and United Kingdom. Frequent co-authors include Werner Brannath, Péter Bauer, Frank Bretz, Franz Koenig, Willi Maurer, Veronika Fialka‐Moser, Ekkehard Glimm, Franz König, Tatjana Paternostro‐Sluga and Gerda Vacariu. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, Statistics in Biopharmaceutical Research, Pharmaceutical Statistics and Biometrical Journal.
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.