Sónia R. Bentes
- Economics and Econometrics top 5%
- Finance top 5%
- General Economics, Econometrics and Finance top 10%
- Statistical and Nonlinear Physics top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Rui MenezesDiana MendesТамара ТепловаMariya GubarevaCatarina MarquesMário Nuno MataMuhammad Najib RazaliIsabel Vieira
- Topics
- Market Dynamics and Volatility (22 papers)Financial Risk and Volatility Modeling (14 papers)Complex Systems and Time Series Analysis (10 papers)
In The Last Decade
Sónia R. Bentes
26 papers receiving 357 citations
Peers
Comparison fields: 5 of 60
- Economics and Econometrics 330
- Finance 214
- General Economics, Econometrics and Finance 52
- Statistical and Nonlinear Physics 51
- Management Science and Operations Research 49
Countries citing papers authored by Sónia R. Bentes
This map shows the geographic impact of Sónia R. Bentes'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 Sónia R. Bentes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sónia R. Bentes more than expected).
Fields of papers citing papers by Sónia R. Bentes
This network shows the impact of papers produced by Sónia R. Bentes. 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 Sónia R. Bentes. The network helps show where Sónia R. Bentes may publish in the future.
Co-authorship network of co-authors of Sónia R. Bentes
This figure shows the co-authorship network connecting the top 25 collaborators of Sónia R. Bentes. A scholar is included among the top collaborators of Sónia R. Bentes 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 Sónia R. Bentes. Sónia R. Bentes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 16 | |
| 5 | 22 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | Organizational Anomie, Professional Self-Concept and Organizational Support Perception: Theoretical Model Evidences for Management | 11 |
| 9 | 53 | |
| 10 | 18 | |
| 11 | 15 | |
| 12 | 13 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | On the predictive power of implied volatility indexes: A comparative analysis with GARCH forecasted volatility | 1 |
| 18 | 41 | |
| 19 | Is stock market volatility persistent? A fractionally integrated approach | 5 |
| 20 | 79 |
About Sónia R. Bentes
Sónia R. Bentes is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 30 papers that have together received 396 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (22 papers), Financial Risk and Volatility Modeling (14 papers) and Complex Systems and Time Series Analysis (10 papers). The work is most often cited by research in Finance (214 citations), Economics and Econometrics (330 citations) and General Economics, Econometrics and Finance (52 citations). Sónia R. Bentes has collaborated with scholars based in Portugal, Malaysia and Brazil. Frequent co-authors include Rui Menezes, Diana Mendes, Тамара Теплова, Mariya Gubareva, Catarina Marques, Mário Nuno Mata, Muhammad Najib Razali, Isabel Vieira, Marcos Aguiar de Souza and Nilton Soares Formiga. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Applied Economics and Mathematics.
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.