Walter Lehmacher
- Immunology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 5%
- Statistics and Probability top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Gernot WassmerErnst HollerHJ KolbPeter ReitmeirJ. KempeniG. RuckdeschelH PechumerCharles Edison Riedner
- Topics
- Statistical Methods in Clinical Trials (17 papers)Optimal Experimental Design Methods (14 papers)Respiratory and Cough-Related Research (12 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Walter Lehmacher
139 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 167
- Immunology 773
- Cardiology and Cardiovascular Medicine 666
- Surgery 635
- Statistics and Probability 626
- Public Health, Environmental and Occupational Health 564
Countries citing papers authored by Walter Lehmacher
This map shows the geographic impact of Walter Lehmacher'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 Walter Lehmacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter Lehmacher more than expected).
Fields of papers citing papers by Walter Lehmacher
This network shows the impact of papers produced by Walter Lehmacher. 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 Walter Lehmacher. The network helps show where Walter Lehmacher may publish in the future.
Co-authorship network of co-authors of Walter Lehmacher
This figure shows the co-authorship network connecting the top 25 collaborators of Walter Lehmacher. A scholar is included among the top collaborators of Walter Lehmacher 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 Walter Lehmacher. Walter Lehmacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 9 | |
| 4 | 49 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | Multiple testing procedures for identifying desirable dose combinations in bifactorial designs | 2 |
| 12 | 13 | |
| 13 | 305 | |
| 14 | Adaptive Group Sequential Designs for Clinical Trials | 3 |
| 15 | 3 | |
| 16 | 336 | |
| 17 | 2 | |
| 18 | 78 | |
| 19 | 11 | |
| 20 | 28 |
About Walter Lehmacher
Walter Lehmacher is a scholar working on Statistics and Probability, Management Science and Operations Research and Immunology and Allergy, having authored 143 papers that have together received 4.9k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (17 papers), Optimal Experimental Design Methods (14 papers) and Respiratory and Cough-Related Research (12 papers). The work is most often cited by research in Statistics and Probability (626 citations), Transplantation (134 citations) and Hematology (550 citations). Walter Lehmacher has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Gernot Wassmer, Ernst Holler, HJ Kolb, Peter Reitmeir, J. Kempeni, G. Ruckdeschel, H Pechumer, Charles Edison Riedner, S.M. Liesenfeld and A Möller. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Oncology.
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.