Daniel Conus
Impact in
- Finance top 5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
- Finance 10
- Stochastic processes and financial applications 10
- Financial Risk and Volatility Modeling 3
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- Stochastic processes and statistical mechanics 6
- Numerical methods in inverse problems 2
- Co-authors
- Davar Khoshnevisan (6 shared papers)Robert C. Dalang (2 shared papers)Rick S. Blum (1 shared paper)Jiangfan Zhang (1 shared paper)Raluca M. Balan (1 shared paper)Arnulf Jentzen (1 shared paper)Liyang Ma (1 shared paper)Paolo Bocchini (2 shared papers)
- Journals
- Electronic Journal of Probability (2 papers)Probability Theory and Related Fields (2 papers)Ecology and Evolution (1 paper)The Annals of Applied Probability (1 paper)Annales de l Institut Henri Poincaré Probabilités et Statistiques (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Daniel Conus
13 papers receiving 238 citations
Peers
Comparison fields: 5 of 35
- Finance 147
- Mathematical Physics 121
- Modeling and Simulation 24
- Computational Theory and Mathematics 59
- Control and Systems Engineering 56
Countries citing papers authored by Daniel Conus
This map shows the geographic impact of Daniel Conus'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 Conus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Conus more than expected).
Fields of papers citing papers by Daniel Conus
This network shows the impact of papers produced by Daniel Conus. 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 Conus. The network helps show where Daniel Conus may publish in the future.
Co-authors
The 9 scholars most cited alongside Daniel Conus, 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 | 2014 | 64 | |
| 2 | 2008 | 51 | |
| 3 | 2012 | 31 | |
| 4 | 2010 | 30 | |
| 5 | 2014 | 15 | |
| 6 | 2014 | 15 | |
| 7 | 2012 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2013 | 7 | |
| 10 | 2013 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2015 | 0 |
About Daniel Conus
Daniel Conus is a scholar working on Finance, Mathematical Physics, Condensed Matter Physics, Computational Theory and Mathematics and Modeling and Simulation, having authored 14 papers that have together received 247 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Stochastic processes and statistical mechanics (6 papers), Financial Risk and Volatility Modeling (3 papers), Advanced Mathematical Modeling in Engineering (2 papers), Numerical methods in inverse problems (2 papers), Theoretical and Computational Physics (2 papers), Differential Equations and Numerical Methods (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Finance (147 citations), Mathematical Physics (121 citations), Modeling and Simulation (24 citations), Computational Theory and Mathematics (59 citations) and Control and Systems Engineering (56 citations). Daniel Conus has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Davar Khoshnevisan, Robert C. Dalang, Rick S. Blum, Jiangfan Zhang, Raluca M. Balan, Arnulf Jentzen, Liyang Ma, Paolo Bocchini and Javier Buceta-Fernández. Their work appears in journals such as Electronic Journal of Probability, Probability Theory and Related Fields, Ecology and Evolution, The Annals of Applied Probability and Annales de l Institut Henri Poincaré Probabilités et Statistiques.
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.