Dániel Prinz
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Economics and Econometrics top 5%
- COVID-19 Pandemic Impacts
- Healthcare Policy and Management
- Health Systems, Economic Evaluations, Quality of Life
Papers in
-
- COVID-19 Pandemic Impacts 6
- Healthcare Policy and Management 4
-
- Employment and Welfare Studies 8
- Global Health Care Issues 5
- Co-authors
- Edward Kong (2 shared papers)Timothy Layton (3 shared papers)Michael Geruso (1 shared paper)Melanie Khamis (4 shared papers)David Newhouse (4 shared papers)Amparo Palacios-López (4 shared papers)Utz Johann Pape (4 shared papers)Michael Weber (4 shared papers)
- Journals
- American Economic Journal Economic Policy (2 papers)Population Studies (1 paper)Labour Economics (1 paper)Journal of Public Economics (1 paper)Health Policy (1 paper)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Dániel Prinz
14 papers receiving 271 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 70
- Economics and Econometrics 193
- General Health Professions 126
- Demography 22
- Finance 18
Countries citing papers authored by Dániel Prinz
This map shows the geographic impact of Dániel Prinz'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 Dániel Prinz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Prinz more than expected).
Fields of papers citing papers by Dániel Prinz
This network shows the impact of papers produced by Dániel Prinz. 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 Dániel Prinz. The network helps show where Dániel Prinz may publish in the future.
Co-authors
The 15 scholars most cited alongside Dániel Prinz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 105 | |
| 2 | 2021 | 50 | |
| 3 | 2019 | 44 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 6 | |
| 10 | Employer Responsibility in Disability Insurance: Evidence from the Netherlands | 2021 | 3 |
| 11 | 1952 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2023 | 0 |
About Dániel Prinz
Dániel Prinz is a scholar working on Economics and Econometrics, General Health Professions, Modeling and Simulation, Demography and Health, having authored 15 papers that have together received 281 indexed citations. Recurring topics across this work include Employment and Welfare Studies (8 papers), COVID-19 Pandemic Impacts (6 papers), Global Health Care Issues (5 papers), Healthcare Policy and Management (4 papers), COVID-19 epidemiological studies (4 papers), Retirement, Disability, and Employment (3 papers), Health disparities and outcomes (2 papers) and Healthcare Systems and Reforms (2 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Economics and Econometrics (193 citations), General Health Professions (126 citations), Demography (22 citations) and Finance (18 citations). Dániel Prinz has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Edward Kong, Timothy Layton, Michael Geruso, Melanie Khamis, David Newhouse, Amparo Palacios-López, Utz Johann Pape, Michael Weber, Tal Gross and Anikó Bíró. Their work appears in journals such as American Economic Journal Economic Policy, Population Studies, Labour Economics, Journal of Public Economics and Health Policy.
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.