Rafael Schmidt
Impact in
- Finance top 1%
- Financial Risk and Volatility Modeling
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Distribution Estimation and Applications
Papers in
- Finance 12
- Financial Risk and Volatility Modeling 12
- Stochastic processes and financial applications 5
-
- Statistical Methods and Inference 3
- Statistical Distribution Estimation and Applications 2
- Co-authors
- Friedrich SchmidUlrich StadtmüllerGabriel FrahmMarkus JunkerRüdiger KieselΝ. H. BinghamOliver GrotheChristian Schmieder
- Journals
- Insurance Mathematics and Economics (2 papers)Quantitative Finance (2 papers)Scandinavian Journal of Statistics (1 paper)Computational Statistics & Data Analysis (1 paper)Mathematical Methods of Operations Research (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Rafael Schmidt
18 papers receiving 833 citations
Peers
Comparison fields: 5 of 89
- Finance 606
- Statistics and Probability 222
- General Economics, Econometrics and Finance 117
- Economics and Econometrics 298
- Global and Planetary Change 227
Countries citing papers authored by Rafael Schmidt
This map shows the geographic impact of Rafael Schmidt'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 Rafael Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Schmidt more than expected).
Fields of papers citing papers by Rafael Schmidt
This network shows the impact of papers produced by Rafael Schmidt. 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 Rafael Schmidt. The network helps show where Rafael Schmidt may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Rafael Schmidt, 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 | 2023 | 3 | |
| 2 | Computing platforms for big data analytics and artificial intelligence | 2020 | 2 |
| 3 | 2011 | 4 | |
| 4 | Os Direitos Humanos e o Direito Internacional do Meio Ambiente | 2010 | 1 |
| 5 | 2009 | 7 | |
| 6 | 2009 | 2 | |
| 7 | 2008 | 4 | |
| 8 | 2007 | 4 | |
| 9 | 2007 | 3 | |
| 10 | 2006 | 71 | |
| 11 | 2006 | 38 | |
| 12 | 2006 | 13 | |
| 13 | 2006 | 111 | |
| 14 | 2005 | 236 | |
| 15 | 2005 | 32 | |
| 16 | 2005 | 214 | |
| 17 | 2003 | 29 | |
| 18 | 2002 | 110 |
About Rafael Schmidt
Rafael Schmidt is a scholar working on Finance, Statistics and Probability, Demography, Economics and Econometrics and Management Science and Operations Research, having authored 18 papers that have together received 884 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (12 papers), Stochastic processes and financial applications (5 papers), Complex Systems and Time Series Analysis (4 papers), Market Dynamics and Volatility (3 papers), Global Health Care Issues (3 papers), Statistical Methods and Inference (3 papers), Insurance, Mortality, Demography, Risk Management (3 papers) and Statistical Distribution Estimation and Applications (2 papers). The work is most often cited by research in Finance (606 citations), Statistics and Probability (222 citations), General Economics, Econometrics and Finance (117 citations), Economics and Econometrics (298 citations) and Global and Planetary Change (227 citations). Rafael Schmidt has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Friedrich Schmid, Ulrich Stadtmüller, Gabriel Frahm, Markus Junker, Rüdiger Kiesel, Ν. H. Bingham, Oliver Grothe, Christian Schmieder, Christoph Memmel and Juri Marcucci. Their work appears in journals such as Insurance Mathematics and Economics, Quantitative Finance, Scandinavian Journal of Statistics, Computational Statistics & Data Analysis and Mathematical Methods of Operations Research.
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.