Gernot Wassmer

5.8k citations
80 papers · 3.8k indexed · 1 hit paper · h-index 27

Gernot Wassmer

77 papers receiving 3.6k citations

Hit Papers

Epidemiology of erectile dysfunction: results of the ‘Col...7042000202620082017200400600

Peers

Gernot Wassmer
Comparison fields: 5 of 159
  • Statistics and Probability 1.1k
  • Urology 369
  • Management Science and Operations Research 678
  • Psychiatry and Mental health 824
  • Endocrinology, Diabetes and Metabolism 631
Replace Walter Lehmacher with:
Walter Lehmacher Germany
James Troendle United States
Andrew P. Grieve United Kingdom
G. Lu United Kingdom
Jessica Barrett United Kingdom
Stéphane Héritier Australia
Markku Nurminen Finland
Hui Xie United States
Armin Koch Germany
Guobing Lu United Kingdom
Gernot Wassmer relative to Walter Lehmacher Germany Walter Lehmacher's profile →
Citations per field
00.5×4.7×
Walter Lehmacher · 1×
Citations per year

Countries citing papers authored by Gernot Wassmer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Gernot Wassmer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gernot Wassmer Line = papers co-authored together Gernot Wassmer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201810
2 201422
3 20122
4 201116
5 200981
6 200774
7 200512
8 200348
9 200313
10 200313
11 2002123
12 2002102
13 20024
14 200180
15 200137
16 20011
17 200018
18 19982
19 1996188
20 19903

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), Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (6 papers), Aortic aneurysm repair treatments (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Vascular Procedures and Complications (5 papers) and Hormonal and reproductive studies (4 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.

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