Anna Talarczyk
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- advanced mathematical theories
- Mathematical Dynamics and Fractals
Papers in
-
- Stochastic processes and statistical mechanics 22
- Finance 16
- Stochastic processes and financial applications 15
- Financial Risk and Volatility Modeling 6
- Co-authors
- Tomasz Bojdecki (14 shared papers)Luis G. Gorostiza (12 shared papers)Vlada Limic (3 shared papers)David C. Brydges (1 shared paper)Szymon Peszat (1 shared paper)
In The Last Decade
Anna Talarczyk
23 papers receiving 408 citations
Peers
Comparison fields: 5 of 38
- Finance 339
- Mathematical Physics 200
- Statistics and Probability 64
- Economics and Econometrics 159
- Condensed Matter Physics 57
Countries citing papers authored by Anna Talarczyk
This map shows the geographic impact of Anna Talarczyk'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 Anna Talarczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Talarczyk more than expected).
Fields of papers citing papers by Anna Talarczyk
This network shows the impact of papers produced by Anna Talarczyk. 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 Anna Talarczyk. The network helps show where Anna Talarczyk may publish in the future.
Co-authors
The 5 scholars most cited alongside Anna Talarczyk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 143 | |
| 2 | 2007 | 68 | |
| 3 | 2005 | 52 | |
| 4 | 2004 | 28 | |
| 5 | 2007 | 25 | |
| 6 | 2007 | 21 | |
| 7 | 2005 | 20 | |
| 8 | 2007 | 16 | |
| 9 | 2010 | 8 | |
| 10 | 2000 | 8 | |
| 11 | 2015 | 8 | |
| 12 | 2007 | 8 | |
| 13 | 2006 | 7 | |
| 14 | 2012 | 6 | |
| 15 | 2001 | 6 | |
| 16 | 2009 | 6 | |
| 17 | 2001 | 5 | |
| 18 | 2011 | 5 | |
| 19 | 2019 | 3 | |
| 20 | Diffusion limits for mixed with Kingman coalescents at small times | 2014 | 2 |
About Anna Talarczyk
Anna Talarczyk is a scholar working on Mathematical Physics, Finance, Statistics and Probability, Condensed Matter Physics and Economics and Econometrics, having authored 27 papers that have together received 450 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (22 papers), Stochastic processes and financial applications (15 papers), Complex Systems and Time Series Analysis (6 papers), Theoretical and Computational Physics (6 papers), Financial Risk and Volatility Modeling (6 papers), Random Matrices and Applications (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Probability and Risk Models (3 papers). The work is most often cited by research in Finance (339 citations), Mathematical Physics (200 citations), Statistics and Probability (64 citations), Economics and Econometrics (159 citations) and Condensed Matter Physics (57 citations). Anna Talarczyk has collaborated with scholars based in Poland, Mexico and Bulgaria. Frequent co-authors include Tomasz Bojdecki, Luis G. Gorostiza, Vlada Limic, David C. Brydges and Szymon Peszat. Their work appears in journals such as Stochastic Processes and their Applications, Electronic Journal of Probability, Infinite Dimensional Analysis Quantum Probability and Related Topics, Electronic Communications in Probability and Potential 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.