Πέτρος Δελλαπόρτας
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Finance top 2%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Ioannis NtzoufrasJonathan J. ForsterA. F. M. SmithIoannis D. VrontosDimitris N. PolitisDavid A. StephensGareth O. RobertsΙ. Παπαγεωργίου
- Topics
- Bayesian Methods and Mixture Models (28 papers)Statistical Methods and Bayesian Inference (22 papers)Financial Risk and Volatility Modeling (22 papers)
- Journals
- BioinformaticsGeneticsBiometrics
- Partner nations
- GreeceUnited KingdomUnited States
In The Last Decade
Πέτρος Δελλαπόρτας
73 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 142
- Statistics and Probability 764
- Artificial Intelligence 585
- Finance 408
- Economics and Econometrics 343
- Management Science and Operations Research 163
Countries citing papers authored by Πέτρος Δελλαπόρτας
This map shows the geographic impact of Πέτρος Δελλαπόρτας'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 Πέτρος Δελλαπόρτας with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Πέτρος Δελλαπόρτας more than expected).
Fields of papers citing papers by Πέτρος Δελλαπόρτας
This network shows the impact of papers produced by Πέτρος Δελλαπόρτας. 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 Πέτρος Δελλαπόρτας. The network helps show where Πέτρος Δελλαπόρτας may publish in the future.
Co-authorship network of co-authors of Πέτρος Δελλαπόρτας
This figure shows the co-authorship network connecting the top 25 collaborators of Πέτρος Δελλαπόρτας. A scholar is included among the top collaborators of Πέτρος Δελλαπόρτας 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 Πέτρος Δελλαπόρτας. Πέτρος Δελλαπόρτας 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Bayesian prediction of jumps in large panels of time series data | 2 |
| 8 | 8 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | A general proposal construction for reversible jump MCMC | 1 |
| 13 | 5 | |
| 14 | A Full-Factor Multivariate GARCH Model | 4 |
| 15 | Bayesian Inference For Nondecomposable Graphical Gaussian Models. | 25 |
| 16 | 23 | |
| 17 | 20 | |
| 18 | 11 | |
| 19 | 12 | |
| 20 | 17 |
About Πέτρος Δελλαπόρτας
Πέτρος Δελλαπόρτας is a scholar working on Statistics and Probability, Finance and Computational Mathematics, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (28 papers), Statistical Methods and Bayesian Inference (22 papers) and Financial Risk and Volatility Modeling (22 papers). The work is most often cited by research in Statistics and Probability (764 citations), Finance (408 citations) and General Economics, Econometrics and Finance (161 citations). Πέτρος Δελλαπόρτας has collaborated with scholars based in Greece, United Kingdom and United States. Frequent co-authors include Ioannis Ntzoufras, Jonathan J. Forster, A. F. M. Smith, Ioannis D. Vrontos, Dimitris N. Politis, David A. Stephens, Gareth O. Roberts, Ι. Παπαγεωργίου, Omiros Papaspiliopoulos and David Wright. Their work appears in journals such as Bioinformatics, Genetics and Biometrics.
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.