Peter Becker–Kern
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
-
- Stochastic processes and statistical mechanics 8
- advanced mathematical theories 3
- Finance 8
- Stochastic processes and financial applications 8
- Financial Risk and Volatility Modeling 3
- Co-authors
- Hans‐Peter Scheffler (8 shared papers)Mark M. Meerschaert (5 shared papers)David A. Benson (1 shared paper)Gyula Pap (1 shared paper)W. Hazod (2 shared papers)
- Journals
- Journal of Applied Probability (2 papers)The Annals of Probability (1 paper)Journal of Theoretical Probability (1 paper)Stochastic Processes and their Applications (1 paper)Journal of Multivariate Analysis (1 paper)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
Peter Becker–Kern
18 papers receiving 280 citations
Peers
Comparison fields: 5 of 43
- Modeling and Simulation 178
- Mathematical Physics 104
- Numerical Analysis 45
- Applied Mathematics 64
- Finance 58
Countries citing papers authored by Peter Becker–Kern
This map shows the geographic impact of Peter Becker–Kern'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 Peter Becker–Kern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Becker–Kern more than expected).
Fields of papers citing papers by Peter Becker–Kern
This network shows the impact of papers produced by Peter Becker–Kern. 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 Peter Becker–Kern. The network helps show where Peter Becker–Kern may publish in the future.
Co-authors
The 5 scholars most cited alongside Peter Becker–Kern, 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 | 2004 | 102 | |
| 2 | 2002 | 91 | |
| 3 | 2004 | 50 | |
| 4 | 2004 | 8 | |
| 5 | 2003 | 8 | |
| 6 | 2003 | 7 | |
| 7 | 2003 | 7 | |
| 8 | 2000 | 6 | |
| 9 | 2007 | 6 | |
| 10 | 2002 | 3 | |
| 11 | 2008 | 2 | |
| 12 | 2006 | 2 | |
| 13 | HOW TO FIND STABILITY IN A PURELY SEMISTABLE CONTEXT | 2005 | 1 |
| 14 | 2007 | 1 | |
| 15 | 2008 | 1 | |
| 16 | 2004 | 1 | |
| 17 | 2004 | 1 | |
| 18 | 2004 | 1 | |
| 19 | 2007 | 0 |
About Peter Becker–Kern
Peter Becker–Kern is a scholar working on Mathematical Physics, Finance, Modeling and Simulation, Management Science and Operations Research and Statistics and Probability, having authored 19 papers that have together received 298 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), Stochastic processes and statistical mechanics (8 papers), Fractional Differential Equations Solutions (5 papers), Probability and Risk Models (4 papers), advanced mathematical theories (3 papers), Financial Risk and Volatility Modeling (3 papers), Diffusion and Search Dynamics (2 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Modeling and Simulation (178 citations), Mathematical Physics (104 citations), Numerical Analysis (45 citations), Applied Mathematics (64 citations) and Finance (58 citations). Peter Becker–Kern has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Hans‐Peter Scheffler, Mark M. Meerschaert, David A. Benson, Gyula Pap and W. Hazod. Their work appears in journals such as Journal of Applied Probability, The Annals of Probability, Journal of Theoretical Probability, Stochastic Processes and their Applications and Journal of Multivariate Analysis.
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.