Dieter Hauschke
- Statistics and Probability top 0.5%
- Management Science and Operations Research top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Surgery
- Co-authors
- V W SteinijansE DilettiIris PigeotMeinhard KieserPaul‐Georg GermannMartin WernerDietrich HäfnerMartin D. Burke
- Topics
- Statistical Methods in Clinical Trials (38 papers)Optimal Experimental Design Methods (18 papers)Computational Drug Discovery Methods (12 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Dieter Hauschke
90 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 149
- Statistics and Probability 686
- Management Science and Operations Research 376
- Molecular Biology 349
- Pulmonary and Respiratory Medicine 303
- Surgery 228
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 of co-authors of Dieter Hauschke
This figure shows the co-authorship network connecting the top 25 collaborators of Dieter Hauschke. A scholar is included among the top collaborators of Dieter Hauschke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dieter Hauschke. Dieter Hauschke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 50 | |
| 2 | 5 | |
| 3 | 28 | |
| 4 | 17 | |
| 5 | 22 | |
| 6 | 53 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 2 | |
| 10 | 24 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 107 | |
| 14 | 18 | |
| 15 | 35 | |
| 16 | 64 | |
| 17 | 12 | |
| 18 | 54 | |
| 19 | Presentation of the intrasubject coefficient of variation for sample size planning in bioequivalence studies. | 14 |
| 20 | Effect of changing the bioequivalence range from (0.80, 1.20) to (0.80, 1.25) on the power and sample size. | 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) and Computational Drug Discovery Methods (12 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.