Dieter Hauschke
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials 38
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- Optimal Experimental Design Methods 18
- Transplantation top 5%
- Pharmacology top 5%
- Neurology top 10%
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- Computational Drug Discovery Methods 12
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- Health Systems, Economic Evaluations, Quality of Life 8
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- Biosimilars and Bioanalytical Methods 6
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- Microtubule and mitosis dynamics 5
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- Carcinogens and Genotoxicity Assessment 5
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- Neonatal Respiratory Health Research 5
Dieter Hauschke
90 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 149
- Statistics and Probability 686
- Management Science and Operations Research 376
- Transplantation 63
- Pharmacology 147
- Neurology 114
Countries citing papers authored by Dieter Hauschke
This map shows the geographic impact of Dieter Hauschke'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 Dieter Hauschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Hauschke more than expected).
Fields of papers citing papers by Dieter Hauschke
This network shows the impact of papers produced by Dieter Hauschke. 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 Dieter Hauschke. The network helps show where Dieter Hauschke may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dieter Hauschke, 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 | 50 | |
| 2 | 2017 | 5 | |
| 3 | 2017 | 28 | |
| 4 | 2016 | 17 | |
| 5 | 2016 | 22 | |
| 6 | 2016 | 53 | |
| 7 | 2016 | 4 | |
| 8 | 2015 | 13 | |
| 9 | 2015 | 2 | |
| 10 | 2013 | 24 | |
| 11 | 2012 | 25 | |
| 12 | 2011 | 3 | |
| 13 | 2009 | 107 | |
| 14 | 2006 | 18 | |
| 15 | 2005 | 35 | |
| 16 | 1999 | 64 | |
| 17 | 1999 | 12 | |
| 18 | 1998 | 54 | |
| 19 | Presentation of the intrasubject coefficient of variation for sample size planning in bioequivalence studies. | 1994 | 14 |
| 20 | Effect of changing the bioequivalence range from (0.80, 1.20) to (0.80, 1.25) on the power and sample size. | 1992 | 10 |
About Dieter Hauschke
Dieter Hauschke is a scholar working on Statistics and Probability, Chemical Health and Safety and Management Science and Operations Research, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (38 papers), Optimal Experimental Design Methods (18 papers), Computational Drug Discovery Methods (12 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Biosimilars and Bioanalytical Methods (6 papers), Microtubule and mitosis dynamics (5 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Statistics and Probability (686 citations), Management Science and Operations Research (376 citations) and Transplantation (63 citations). Dieter Hauschke has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include V W Steinijans, E Diletti, Iris Pigeot, Meinhard Kieser, Paul‐Georg Germann, Martin Werner, Dietrich Häfner, Martin D. Burke, Juliane Schäfer and Joachim Röhmel. Their work appears in journals such as Blood, American Journal of Respiratory and Critical Care Medicine and Oncogene.
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.