Jesper Andreasen
- Finance top 1%
- Economics and Econometrics top 5%
- Demography top 5%
- Numerical Analysis top 5%
- Management Science and Operations Research top 10%
- Topics
- Stochastic processes and financial applications (18 papers)Financial Risk and Volatility Modeling (10 papers)Credit Risk and Financial Regulations (7 papers)
- Cited by
- FinanceNumerical AnalysisDemography
- Journals
- Journal of Financial EconomicsThe Journal of Computational FinanceApplied Mathematical Finance
- Partner nations
- AustraliaUnited StatesDenmark
In The Last Decade
Jesper Andreasen
19 papers receiving 676 citations
Peers
Comparison fields: 5 of 38
- Finance 782
- Economics and Econometrics 182
- Demography 142
- Numerical Analysis 91
- Management Science and Operations Research 53
Countries citing papers authored by Jesper Andreasen
This map shows the geographic impact of Jesper Andreasen'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 Jesper Andreasen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Andreasen more than expected).
Fields of papers citing papers by Jesper Andreasen
This network shows the impact of papers produced by Jesper Andreasen. 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 Jesper Andreasen. The network helps show where Jesper Andreasen may publish in the future.
Co-authorship network of co-authors of Jesper Andreasen
This figure shows the co-authorship network connecting the top 25 collaborators of Jesper Andreasen. A scholar is included among the top collaborators of Jesper Andreasen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jesper Andreasen. Jesper Andreasen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 20 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | Advances in Automated Algorithms For Morphological Classification of Galaxies Based on Shape Features | 3 |
| 7 | Put Call Reversal | 7 |
| 8 | 36 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 6 | |
| 12 | 140 | |
| 13 | 4 | |
| 14 | 13 | |
| 15 | 287 | |
| 16 | 77 | |
| 17 | 57 | |
| 18 | 58 | |
| 19 | 40 | |
| 20 | New Skin for The Old Ceremony: Eight Different Derivations of the Black-Scholes Formula | 1 |
About Jesper Andreasen
Jesper Andreasen is a scholar working on Finance, Economics and Econometrics and Demography, having authored 20 papers that have together received 818 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (18 papers), Financial Risk and Volatility Modeling (10 papers) and Credit Risk and Financial Regulations (7 papers). The work is most often cited by research in Finance (782 citations), Numerical Analysis (91 citations) and Demography (142 citations). Jesper Andreasen has collaborated with scholars based in Australia, United States and Denmark. Frequent co-authors include Leif B. G. Andersen, David Eliezer, Peter Carr, Ninan Sajeeth Philip, Rolf Poulsen and Bjarke Jensen. Their work appears in journals such as Journal of Financial Economics, The Journal of Computational Finance 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.