Davide Pigoli
- Statistics and Probability top 5%
-
- Speech and Audio Processing 3
- Music and Audio Processing 3
- Artificial Intelligence top 10%
- Bayesian Methods and Mixture Models 4
-
- Soil Geostatistics and Mapping 4
-
- Morphological variations and asymmetry 6
-
- Image and Signal Denoising Methods 4
-
- ECG Monitoring and Analysis 2
-
- Genetic and phenotypic traits in livestock 2
- Co-authors
- John A. D. AstonPiercesare SecchiValeria VitelliAnna Maria PaganoniFrancesca IevaIan L. DrydenAlessandra MenafoglioLaura M. Sangalli
- Journals
- Journal of the American Statistical Association (1 paper)Biometrika (1 paper)The Annals of Statistics (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Davide Pigoli
18 papers receiving 235 citations
Peers
Comparison fields: 5 of 70
- Statistics and Probability 89
- Computational Mathematics 4
- Signal Processing 43
- Artificial Intelligence 96
- Environmental Engineering 34
Countries citing papers authored by Davide Pigoli
This map shows the geographic impact of Davide Pigoli'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 Davide Pigoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Pigoli more than expected).
Fields of papers citing papers by Davide Pigoli
This network shows the impact of papers produced by Davide Pigoli. 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 Davide Pigoli. The network helps show where Davide Pigoli may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Davide Pigoli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 6 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 10 | |
| 9 | 2017 | 31 | |
| 10 | Spatial modeling of Object Data: Analysing dialect sound variations across the UK | 2016 | 0 |
| 11 | 2015 | 17 | |
| 12 | 2014 | 42 | |
| 13 | 2012 | 60 | |
| 14 | 2012 | 3 | |
| 15 | 2012 | 15 | |
| 16 | Distances and inference for covariance functions | 2012 | 2 |
| 17 | Multivariate functional clustering for the analysis of ECG curves morphology | 2011 | 6 |
| 18 | Ecg signal reconstruction, landmark registration and functional classification | 2011 | 3 |
| 19 | Wavelet smoothing for curves in more than one dimension | 2010 | 1 |
About Davide Pigoli
Davide Pigoli is a scholar working on Geometry and Topology, Signal Processing and Environmental Engineering, having authored 19 papers that have together received 245 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (6 papers), Image and Signal Denoising Methods (4 papers), Bayesian Methods and Mixture Models (4 papers), Soil Geostatistics and Mapping (4 papers), Speech and Audio Processing (3 papers), Music and Audio Processing (3 papers), ECG Monitoring and Analysis (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Statistics and Probability (89 citations), Computational Mathematics (4 citations) and Signal Processing (43 citations). Davide Pigoli has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include John A. D. Aston, Piercesare Secchi, Valeria Vitelli, Anna Maria Paganoni, Francesca Ieva, Ian L. Dryden, Alessandra Menafoglio, Laura M. Sangalli, John Coleman and Patrick A. Carter. Their work appears in journals such as Journal of the American Statistical Association, Biometrika 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.