Isabel Pereira
- Statistics and Probability top 2%
- Finance top 5%
- Artificial Intelligence
- Statistics, Probability and Uncertainty top 10%
- Economics and Econometrics
- Co-authors
- Manuel G. ScottoMagda MonteiroMaria Eduarda SilvaChristian WeißTom LahmerM. Antónia Amaral TurkmanThelma SáfadiA. Meikle
- Topics
- Financial Risk and Volatility Modeling (11 papers)Statistical Methods and Inference (6 papers)Statistical Distribution Estimation and Applications (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaLetters in Applied MicrobiologyPeerJ
- Partner nations
- PortugalGermanyUnited Kingdom
In The Last Decade
Isabel Pereira
17 papers receiving 269 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 180
- Finance 176
- Artificial Intelligence 67
- Statistics, Probability and Uncertainty 34
- Economics and Econometrics 28
Countries citing papers authored by Isabel Pereira
This map shows the geographic impact of Isabel Pereira'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 Isabel Pereira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Pereira more than expected).
Fields of papers citing papers by Isabel Pereira
This network shows the impact of papers produced by Isabel Pereira. 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 Isabel Pereira. The network helps show where Isabel Pereira may publish in the future.
Co-authorship network of co-authors of Isabel Pereira
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Pereira. A scholar is included among the top collaborators of Isabel Pereira 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 Isabel Pereira. Isabel Pereira 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 | 2 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | Integer-Valued Self-Exciting Periodic Threshold Autoregressive Processes | 2 |
| 12 | 42 | |
| 13 | 49 | |
| 14 | 49 | |
| 15 | 15 | |
| 16 | Bayesian Analysis of FIAPARCH Model: An Application to Sao Paulo Stock Market | 5 |
| 17 | 41 | |
| 18 | 10 | |
| 19 | 10 | |
| 20 | 7 |
About Isabel Pereira
Isabel Pereira is a scholar working on Statistics and Probability, Finance and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 278 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (11 papers), Statistical Methods and Inference (6 papers) and Statistical Distribution Estimation and Applications (4 papers). The work is most often cited by research in Statistics and Probability (180 citations), Finance (176 citations) and Statistics, Probability and Uncertainty (34 citations). Isabel Pereira has collaborated with scholars based in Portugal, Germany and United Kingdom. Frequent co-authors include Manuel G. Scotto, Magda Monteiro, Maria Eduarda Silva, Christian Weiß, Tom Lahmer, M. Antónia Amaral Turkman, Thelma Sáfadi, A. Meikle, M. Carriquiry and Ângela Cunha. Their work appears in journals such as SHILAP Revista de lepidopterología, Letters in Applied Microbiology and PeerJ.
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.