Gernot Wassmer
- Statistics and Probability top 0.2%
- Psychiatry and Mental health top 1%
- Management Science and Operations Research top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Walter LehmacherM. BraunT. KlotzU. EngelmannB. ReifenrathM.J. MathersMeinhard KieserPeter Reitmeir
- Topics
- Statistical Methods in Clinical Trials (30 papers)Optimal Experimental Design Methods (23 papers)Statistical Methods and Inference (8 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Gernot Wassmer
77 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Statistics and Probability 1.1k
- Psychiatry and Mental health 824
- Management Science and Operations Research 678
- Endocrinology, Diabetes and Metabolism 631
- Cardiology and Cardiovascular Medicine 495
Countries citing papers authored by Gernot Wassmer
This map shows the geographic impact of Gernot Wassmer'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 Gernot Wassmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gernot Wassmer more than expected).
Fields of papers citing papers by Gernot Wassmer
This network shows the impact of papers produced by Gernot Wassmer. 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 Gernot Wassmer. The network helps show where Gernot Wassmer may publish in the future.
Co-authorship network of co-authors of Gernot Wassmer
This figure shows the co-authorship network connecting the top 25 collaborators of Gernot Wassmer. A scholar is included among the top collaborators of Gernot Wassmer 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 Gernot Wassmer. Gernot Wassmer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 22 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 81 | |
| 6 | 74 | |
| 7 | 12 | |
| 8 | 48 | |
| 9 | 13 | |
| 10 | 13 | |
| 11 | 123 | |
| 12 | 102 | |
| 13 | 4 | |
| 14 | 80 | |
| 15 | 37 | |
| 16 | 1 | |
| 17 | 18 | |
| 18 | 2 | |
| 19 | 188 | |
| 20 | 3 |
About Gernot Wassmer
Gernot Wassmer is a scholar working on Statistics and Probability, Management Science and Operations Research and Periodontics, having authored 80 papers that have together received 3.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (30 papers), Optimal Experimental Design Methods (23 papers) and Statistical Methods and Inference (8 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Urology (369 citations) and Management Science and Operations Research (678 citations). Gernot Wassmer has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Walter Lehmacher, M. Braun, T. Klotz, U. Engelmann, B. Reifenrath, M.J. Mathers, Meinhard Kieser, Peter Reitmeir, Werner Brannath and Friedrich Manz. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PEDIATRICS and Clinical Infectious Diseases.
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.