Daniel Egloff
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Credit Risk and Financial Regulations
- Banking stability, regulation, efficiency
- Capital Investment and Risk Analysis
Papers in
- Finance 10
- Stochastic processes and financial applications 7
- Capital Investment and Risk Analysis 3
- Credit Risk and Financial Regulations 3
- Banking stability, regulation, efficiency 2
- Co-authors
- Markus Leippold (9 shared papers)Liuren Wu (2 shared papers)Paolo Vanini (2 shared papers)Michael Köhler (1 shared paper)Walter Farkas (1 shared paper)
- Journals
- The Annals of Applied Probability (2 papers)Annals of Global Analysis and Geometry (1 paper)Journal of Financial and Quantitative Analysis (1 paper)The Annals of Statistics (1 paper)Applied Mathematical Finance (1 paper)
- Partner nations
- SwitzerlandUnited StatesChina
In The Last Decade
Daniel Egloff
15 papers receiving 470 citations
Peers
Comparison fields: 5 of 47
- Finance 397
- Management Science and Operations Research 65
- Economics and Econometrics 140
- Statistics and Probability 42
- General Economics, Econometrics and Finance 42
Countries citing papers authored by Daniel Egloff
This map shows the geographic impact of Daniel Egloff'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 Egloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Egloff more than expected).
Fields of papers citing papers by Daniel Egloff
This network shows the impact of papers produced by Daniel Egloff. 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 Egloff. The network helps show where Daniel Egloff may publish in the future.
Co-authors
The 5 scholars most cited alongside Daniel Egloff, 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 | 2010 | 186 | |
| 2 | 2005 | 65 | |
| 3 | 2007 | 61 | |
| 4 | 2007 | 39 | |
| 5 | Uniform Finsler Hadamard manifolds | 1997 | 37 |
| 6 | 2007 | 32 | |
| 7 | 2004 | 26 | |
| 8 | 2010 | 21 | |
| 9 | High performance finite difference PDE solvers on GPUs | 2011 | 17 |
| 10 | 2005 | 13 | |
| 11 | 1997 | 7 | |
| 12 | 2005 | 4 | |
| 13 | 2009 | 3 | |
| 14 | 2007 | 3 | |
| 15 | 2003 | 1 |
About Daniel Egloff
Daniel Egloff is a scholar working on Finance, Management Science and Operations Research, Statistics and Probability, Economics and Econometrics and Applied Mathematics, having authored 15 papers that have together received 515 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Capital Investment and Risk Analysis (3 papers), Credit Risk and Financial Regulations (3 papers), Banking stability, regulation, efficiency (2 papers), Insurance and Financial Risk Management (2 papers), Geometric Analysis and Curvature Flows (2 papers), Insurance, Mortality, Demography, Risk Management (2 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Finance (397 citations), Management Science and Operations Research (65 citations), Economics and Econometrics (140 citations), Statistics and Probability (42 citations) and General Economics, Econometrics and Finance (42 citations). Daniel Egloff has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Markus Leippold, Liuren Wu, Paolo Vanini, Michael Köhler and Walter Farkas. Their work appears in journals such as The Annals of Applied Probability, Annals of Global Analysis and Geometry, Journal of Financial and Quantitative Analysis, The Annals of Statistics and Applied Mathematical Finance.
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.