Kevin E. Staub
Impact in
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- Global trade and economics
- Health top 10%
- Health disparities and outcomes
Papers in
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- Statistical Methods and Bayesian Inference 5
- Health 6
- Health disparities and outcomes 6
- Co-authors
- Rainer WinkelmannGregori BaetschmannPeter EggerMario LarchJohannes KunzChristopher L. SkeelsBruce NealCliona Ní Mhurchú
- Journals
- Health Economics (2 papers)Journal of Economic Behavior & Organization (2 papers)Journal of Health Economics (2 papers)Economics Letters (2 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)
- Partner nations
- AustraliaSwitzerlandGermany
In The Last Decade
Kevin E. Staub
28 papers receiving 774 citations
Peers
Comparison fields: 5 of 103
- General Economics, Econometrics and Finance 135
- Health 99
- Economics and Econometrics 296
- General Decision Sciences 14
- Social Psychology 146
Countries citing papers authored by Kevin E. Staub
This map shows the geographic impact of Kevin E. Staub'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 Kevin E. Staub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin E. Staub more than expected).
Fields of papers citing papers by Kevin E. Staub
This network shows the impact of papers produced by Kevin E. Staub. 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 Kevin E. Staub. The network helps show where Kevin E. Staub may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Kevin E. Staub, 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 76 | |
| 8 | 2016 | 34 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 2 | |
| 11 | 2014 | 261 | |
| 12 | Trade Preferences and Bilateral Trade in Goods and Services: A Structural Approach | 2012 | 32 |
| 13 | 2012 | 53 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 83 | |
| 16 | 2011 | 3 | |
| 17 | 2010 | 51 | |
| 18 | 2010 | 16 | |
| 19 | 2009 | 17 | |
| 20 | Robust estimation of zero-inflated count models | 2009 | 7 |
About Kevin E. Staub
Kevin E. Staub is a scholar working on Statistics and Probability, Health, Economics and Econometrics, General Decision Sciences and General Economics, Econometrics and Finance, having authored 30 papers that have together received 802 indexed citations. Recurring topics across this work include Psychological Well-being and Life Satisfaction (7 papers), Spatial and Panel Data Analysis (7 papers), Health disparities and outcomes (6 papers), Healthcare Policy and Management (6 papers), Statistical Methods and Bayesian Inference (5 papers), Global Health Care Issues (4 papers), Global trade and economics (4 papers) and Income, Poverty, and Inequality (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (135 citations), Health (99 citations), Economics and Econometrics (296 citations), General Decision Sciences (14 citations) and Social Psychology (146 citations). Kevin E. Staub has collaborated with scholars based in Australia, Switzerland and Germany. Frequent co-authors include Rainer Winkelmann, Gregori Baetschmann, Peter Egger, Mario Larch, Johannes Kunz, Christopher L. Skeels, Bruce Neal, Cliona Ní Mhurchú, Tony Blakely and Stefan Boes. Their work appears in journals such as Health Economics, Journal of Economic Behavior & Organization, Journal of Health Economics, Economics Letters and Journal of the Royal Statistical Society Series A (Statistics in Society).
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.