Dínis Pestana
- Finance top 2%
- Statistics and Probability top 2%
- General Economics, Econometrics and Finance top 5%
- Economics and Econometrics top 10%
- Global and Planetary Change
- Co-authors
- M. Ivette GomesFrederico CaeiroLuís Soares‐de‐AlmeidaLuís RequenaMaria Cristina de MendonçaRegina BispoHeinz KutznerClaus Garbe
- Topics
- Financial Risk and Volatility Modeling (21 papers)Statistical Distribution Estimation and Applications (14 papers)Statistical Methods and Inference (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationComputational Statistics & Data Analysis
- Partner nations
- PortugalUnited KingdomNetherlands
In The Last Decade
Dínis Pestana
45 papers receiving 547 citations
Peers
Comparison fields: 5 of 89
- Finance 297
- Statistics and Probability 168
- General Economics, Econometrics and Finance 96
- Economics and Econometrics 92
- Global and Planetary Change 92
Countries citing papers authored by Dínis Pestana
This map shows the geographic impact of Dínis Pestana'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 Dínis Pestana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dínis Pestana more than expected).
Fields of papers citing papers by Dínis Pestana
This network shows the impact of papers produced by Dínis Pestana. 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 Dínis Pestana. The network helps show where Dínis Pestana may publish in the future.
Co-authorship network of co-authors of Dínis Pestana
This figure shows the co-authorship network connecting the top 25 collaborators of Dínis Pestana. A scholar is included among the top collaborators of Dínis Pestana 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 Dínis Pestana. Dínis Pestana 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 | 15 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | Application of dental morphological characteristics for medical-legal identification: sexual diagnosis in a portuguese population | 1 |
| 9 | 4 | |
| 10 | An Unidentified Skeletal Assemblage from a Post-1755 Mass Grave of Lisbon: Dental Morphology and Population Affinity | 1 |
| 11 | 36 | |
| 12 | 6 | |
| 13 | Combining p-values and random p-values | 2 |
| 14 | Using products and powers of products to test uniformity | 1 |
| 15 | 56 | |
| 16 | 3 | |
| 17 | 80 | |
| 18 | 1 | |
| 19 | The use of fractional calculus in probability | 9 |
| 20 | 25 |
About Dínis Pestana
Dínis Pestana is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 50 papers that have together received 579 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (21 papers), Statistical Distribution Estimation and Applications (14 papers) and Statistical Methods and Inference (9 papers). The work is most often cited by research in Finance (297 citations), Statistics and Probability (168 citations) and General Economics, Econometrics and Finance (96 citations). Dínis Pestana has collaborated with scholars based in Portugal, United Kingdom and Netherlands. Frequent co-authors include M. Ivette Gomes, Frederico Caeiro, Luís Soares‐de‐Almeida, Luís Requena, Maria Cristina de Mendonça, Regina Bispo, Heinz Kutzner, Claus Garbe, Tiago A. Marques and Mário Bernardo. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Computational Statistics & Data 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.