Pier Luigi Conti
- Statistics and Probability top 2%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Finance top 10%
- Co-authors
- Mauro ScanuMaurizio NaldiSilvia LanteriMichele ForinaCarla ArmaninoRiccardo LeardiPietro PrinciAndrea Neri
- Topics
- Statistical Methods and Inference (17 papers)Bayesian Methods and Mixture Models (12 papers)Statistical Methods and Bayesian Inference (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationThe Annals of Statistics
In The Last Decade
Pier Luigi Conti
38 papers receiving 427 citations
Peers
Comparison fields: 5 of 98
- Statistics and Probability 176
- Artificial Intelligence 134
- Economics and Econometrics 72
- Management Science and Operations Research 70
- Finance 53
Countries citing papers authored by Pier Luigi Conti
This map shows the geographic impact of Pier Luigi Conti'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 Pier Luigi Conti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pier Luigi Conti more than expected).
Fields of papers citing papers by Pier Luigi Conti
This network shows the impact of papers produced by Pier Luigi Conti. 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 Pier Luigi Conti. The network helps show where Pier Luigi Conti may publish in the future.
Co-authorship network of co-authors of Pier Luigi Conti
This figure shows the co-authorship network connecting the top 25 collaborators of Pier Luigi Conti. A scholar is included among the top collaborators of Pier Luigi Conti 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 Pier Luigi Conti. Pier Luigi Conti 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 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | Recovering sampling distributions od statistics of finite populations via resampling: a predictive approach | 1 |
| 7 | 48 | |
| 8 | 1 | |
| 9 | Uncertainty Analysis in Statistical Matching | 23 |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | Confidence intervals for the long memory parameter based on wavelets and resampling | 8 |
| 14 | 16 | |
| 15 | 3 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | A nonparametric estimate of performance in queueing models with long-range correlation, with applications to telecommunications | 1 |
| 20 | 12 |
About Pier Luigi Conti
Pier Luigi Conti is a scholar working on Statistics and Probability, Management Information Systems and Management Science and Operations Research, having authored 42 papers that have together received 452 indexed citations. Recurring topics across this work include Statistical Methods and Inference (17 papers), Bayesian Methods and Mixture Models (12 papers) and Statistical Methods and Bayesian Inference (10 papers). The work is most often cited by research in Statistics and Probability (176 citations), Management Science and Operations Research (70 citations) and Finance (53 citations). Pier Luigi Conti has collaborated with scholars based in Italy, Mexico and Russia. Frequent co-authors include Mauro Scanu, Maurizio Naldi, Silvia Lanteri, Michele Forina, Carla Armanino, Riccardo Leardi, Pietro Princi, Andrea Neri, Livia De Giovanni and Ya. Yu. Nikitin. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and The Annals of Statistics.
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.