Alexandra Dias
- Finance top 5%
- Economics and Econometrics top 5%
- General Economics, Econometrics and Finance top 10%
- Management Science and Operations Research
- Accounting
- Co-authors
- Paul EmbrechtsTomasz Piotr Wisniewski
- Topics
- Financial Risk and Volatility Modeling (7 papers)Market Dynamics and Volatility (6 papers)Monetary Policy and Economic Impact (6 papers)
- Journals
- Journal of the American Statistical AssociationJournal of Banking & FinanceJournal of International Money and Finance
- Partner nations
- United KingdomSwitzerlandSaudi Arabia
In The Last Decade
Alexandra Dias
12 papers receiving 231 citations
Peers
Comparison fields: 5 of 34
- Finance 181
- Economics and Econometrics 164
- General Economics, Econometrics and Finance 61
- Management Science and Operations Research 27
- Accounting 27
Countries citing papers authored by Alexandra Dias
This map shows the geographic impact of Alexandra Dias'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 Alexandra Dias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Dias more than expected).
Fields of papers citing papers by Alexandra Dias
This network shows the impact of papers produced by Alexandra Dias. 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 Alexandra Dias. The network helps show where Alexandra Dias may publish in the future.
Co-authorship network of co-authors of Alexandra Dias
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Dias. A scholar is included among the top collaborators of Alexandra Dias 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 Alexandra Dias. Alexandra Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 5 | |
| 4 | 51 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | Modeling Exchange Rate Dependence Dynamics at Different Time Horizons | 1 |
| 8 | 73 | |
| 9 | Testing for Structural Changes in Exchange Rates Dependence Beyond Linear Correlation | 5 |
| 10 | 40 | |
| 11 | 0 | |
| 12 | Change-point analysis for dependence structures in finance and insurance | 34 |
| 13 | The ART of dependence modelling: the latest advances in correlation analysis | 24 |
About Alexandra Dias
Alexandra Dias is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 13 papers that have together received 245 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (7 papers), Market Dynamics and Volatility (6 papers) and Monetary Policy and Economic Impact (6 papers). The work is most often cited by research in Finance (181 citations), General Economics, Econometrics and Finance (61 citations) and Economics and Econometrics (164 citations). Alexandra Dias has collaborated with scholars based in United Kingdom, Switzerland and Saudi Arabia. Frequent co-authors include Paul Embrechts and Tomasz Piotr Wisniewski. Their work appears in journals such as Journal of the American Statistical Association, Journal of Banking & Finance and Journal of International Money and 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.