Daniel Kuehnle
- General Health Professions top 10%
- Sociology and Political Science
- Health top 10%
- Gender Studies top 10%
- Economics and Econometrics
- Co-authors
- Michael OberfichtnerKamila Cygan‐RehmChristoph WunderAnthony ScottTerence Chai ChengGuy JohnsonYi‐Ping TsengSharon Parkinson
- Topics
- Employment and Welfare Studies (9 papers)Gender, Labor, and Family Dynamics (9 papers)Homelessness and Social Issues (8 papers)
In The Last Decade
Daniel Kuehnle
28 papers receiving 294 citations
Peers
Comparison fields: 5 of 65
- General Health Professions 158
- Sociology and Political Science 78
- Health 68
- Gender Studies 64
- Economics and Econometrics 54
Countries citing papers authored by Daniel Kuehnle
This map shows the geographic impact of Daniel Kuehnle'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 Daniel Kuehnle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kuehnle more than expected).
Fields of papers citing papers by Daniel Kuehnle
This network shows the impact of papers produced by Daniel Kuehnle. 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 Daniel Kuehnle. The network helps show where Daniel Kuehnle may publish in the future.
Co-authorship network of co-authors of Daniel Kuehnle
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Kuehnle. A scholar is included among the top collaborators of Daniel Kuehnle 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 Daniel Kuehnle. Daniel Kuehnle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 8 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 17 | |
| 13 | 1 | |
| 14 | 25 | |
| 15 | 2 | |
| 16 | Sustaining exits from long-term homelessness: a randomised controlled trial examining the 48 month social and economic outcomes from the journey to social inclusion pilot program | 7 |
| 17 | 47 | |
| 18 | 2 | |
| 19 | Long-term homelessness: understanding the challenge 12 months outcomes from the journey to social inclusion pilot program | 14 |
| 20 | Employment retention in the economic downturn | 0 |
About Daniel Kuehnle
Daniel Kuehnle is a scholar working on Gender Studies, General Health Professions and Health, having authored 35 papers that have together received 309 indexed citations. Recurring topics across this work include Employment and Welfare Studies (9 papers), Gender, Labor, and Family Dynamics (9 papers) and Homelessness and Social Issues (8 papers). The work is most often cited by research in Health (68 citations), Gender Studies (64 citations) and General Health Professions (158 citations). Daniel Kuehnle has collaborated with scholars based in Germany, Australia and Belgium. Frequent co-authors include Michael Oberfichtner, Kamila Cygan‐Rehm, Christoph Wunder, Anthony Scott, Terence Chai Cheng, Guy Johnson, Yi‐Ping Tseng, Sharon Parkinson, C. Katharina Spieß and Stefanie Schurer. Their work appears in journals such as The Economic Journal, Demography and The Journal of Human Resources.
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.