Helmut Farbmacher
- Genetics
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- General Health Professions
- Artificial Intelligence
- Co-authors
- George Davey SmithNeil M DaviesFrank WindmeijerStephen BurgessStephanie von HinkeMartin SpindlerJoachim WinterJohan Vikström
- Topics
- Statistical Methods and Inference (5 papers)Global Health Care Issues (4 papers)Healthcare Policy and Management (4 papers)
- Journals
- Journal of the American Statistical AssociationJournal of EconometricsStatistics in Medicine
- Partner nations
- GermanySwedenUnited Kingdom
In The Last Decade
Helmut Farbmacher
21 papers receiving 312 citations
Peers
Comparison fields: 5 of 97
- Genetics 88
- Statistics and Probability 83
- Economics and Econometrics 72
- General Health Professions 42
- Artificial Intelligence 31
Countries citing papers authored by Helmut Farbmacher
This map shows the geographic impact of Helmut Farbmacher'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 Helmut Farbmacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helmut Farbmacher more than expected).
Fields of papers citing papers by Helmut Farbmacher
This network shows the impact of papers produced by Helmut Farbmacher. 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 Helmut Farbmacher. The network helps show where Helmut Farbmacher may publish in the future.
Co-authorship network of co-authors of Helmut Farbmacher
This figure shows the co-authorship network connecting the top 25 collaborators of Helmut Farbmacher. A scholar is included among the top collaborators of Helmut Farbmacher 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 Helmut Farbmacher. Helmut Farbmacher 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 | 9 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 89 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 96 | |
| 15 | 4 | |
| 16 | 18 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | Ambulante Operationen: Der Patient steht im Mittelpunkt | 0 |
About Helmut Farbmacher
Helmut Farbmacher is a scholar working on Statistics and Probability, General Decision Sciences and Economics and Econometrics, having authored 22 papers that have together received 316 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Global Health Care Issues (4 papers) and Healthcare Policy and Management (4 papers). The work is most often cited by research in Statistics and Probability (83 citations), Genetics (88 citations) and Economics and Econometrics (72 citations). Helmut Farbmacher has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include George Davey Smith, Neil M Davies, Frank Windmeijer, Stephen Burgess, Stephanie von Hinke, Martin Spindler, Joachim Winter, Johan Vikström, Tabea Bucher‐Koenen and Peter Ihle. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics and Statistics in Medicine.
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.