Davide Pigoli

493 total citations
19 papers, 245 citations indexed

About

Davide Pigoli is a scholar working on Signal Processing, Geometry and Topology and Artificial Intelligence. According to data from OpenAlex, Davide Pigoli has authored 19 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Signal Processing, 6 papers in Geometry and Topology and 5 papers in Artificial Intelligence. Recurrent topics in Davide Pigoli's work include Morphological variations and asymmetry (6 papers), Image and Signal Denoising Methods (4 papers) and Bayesian Methods and Mixture Models (4 papers). Davide Pigoli is often cited by papers focused on Morphological variations and asymmetry (6 papers), Image and Signal Denoising Methods (4 papers) and Bayesian Methods and Mixture Models (4 papers). Davide Pigoli collaborates with scholars based in United Kingdom, Italy and United States. Davide Pigoli's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

In The Last Decade

Davide Pigoli

18 papers receiving 235 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Davide Pigoli United Kingdom	9	96	89	43	34	24	19	245
Munmun Biswas Bangladesh	10	127 1.3×	107 1.2×	39 0.9×	15 0.4×	26 1.1×	16	325
Eduardo Gutiérrez‐Peña Mexico	12	177 1.8×	182 2.0×	21 0.5×	26 0.8×	17 0.7×	40	374
Abhijit Dasgupta United States	5	215 2.2×	80 0.9×	30 0.7×	19 0.6×	23 1.0×	6	340
Alain Célisse France	7	65 0.7×	70 0.8×	12 0.3×	10 0.3×	8 0.3×	13	224
Daniel Gervini United States	12	92 1.0×	303 3.4×	45 1.0×	15 0.4×	27 1.1×	19	479
Alexandre G. Patriota Brazil	10	83 0.9×	163 1.8×	12 0.3×	9 0.3×	9 0.4×	32	278
Cathy Maugis France	7	223 2.3×	131 1.5×	30 0.7×	12 0.4×	8 0.3×	8	388
Clare A. McGrory Australia	6	139 1.4×	102 1.1×	15 0.3×	12 0.4×	16 0.7×	18	232
Ming Gu China	8	90 0.9×	208 2.3×	8 0.2×	13 0.4×	21 0.9×	14	320

Countries citing papers authored by Davide Pigoli

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Davide Pigoli

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Pigoli. A scholar is included among the top collaborators of Davide Pigoli 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 Davide Pigoli. Davide Pigoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Pigoli, Davide, et al.. (2024). Statistics in Phonetics. Annual Review of Statistics and Its Application. 12(1). 133–156. 1 indexed citations

Pigoli, Davide, et al.. (2023). Estimation of temperature-dependent growth profiles for the assessment of time of hatching in forensic entomology. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(2). 231–253. 3 indexed citations

Hall, M. J. R., Daniel Martín‐Vega, Brett Clark, et al.. (2021). Micro‐CT imaging of Onchocerca infection of Simulium damnosum s.l . blackflies and comparison of the peritrophic membrane thickness of forest and savannah flies. Medical and Veterinary Entomology. 35(3). 231–238. 6 indexed citations

Beretta, Davide, et al.. (2020). Functional principal component analysis as a versatile technique to understand and predict the electric consumption patterns. Sustainable Energy Grids and Networks. 21. 100308–100308. 11 indexed citations

Menafoglio, Alessandra, Davide Pigoli, & Piercesare Secchi. (2020). Kriging Riemannian Data via Random Domain Decompositions. Journal of Computational and Graphical Statistics. 30(3). 709–727. 6 indexed citations

Pigoli, Davide, et al.. (2019). A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain. Journal of the American Statistical Association. 114(527). 1081–1096. 11 indexed citations

Pigoli, Davide, et al.. (2018). The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages. Apollo (University of Cambridge). 17 indexed citations

Pigoli, Davide, et al.. (2017). Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology. Electronic Journal of Statistics. 11(2). 10 indexed citations

Aston, John A. D., et al.. (2017). Tests for separability in nonparametric covariance operators of random surfaces. The Annals of Statistics. 45(4). 31 indexed citations

10.

Pigoli, Davide, et al.. (2016). Spatial modeling of Object Data: Analysing dialect sound variations across the UK. arXiv (Cornell University).

11.

Pigoli, Davide, Alessandra Menafoglio, & Piercesare Secchi. (2015). Kriging prediction for manifold-valued random fields. Journal of Multivariate Analysis. 145. 117–131. 17 indexed citations

12.

Pigoli, Davide, John A. D. Aston, Ian L. Dryden, & Piercesare Secchi. (2014). Distances and inference for covariance operators. Biometrika. 101(2). 409–422. 42 indexed citations

13.

Ieva, Francesca, Anna Maria Paganoni, Davide Pigoli, & Valeria Vitelli. (2012). Multivariate Functional Clustering for the Morphological Analysis of Electrocardiograph Curves. Journal of the Royal Statistical Society Series C (Applied Statistics). 62(3). 401–418. 60 indexed citations

14.

Pigoli, Davide & Piercesare Secchi. (2012). Estimation of the mean for spatially dependent data belonging to a Riemannian manifold. Electronic Journal of Statistics. 6(none). 3 indexed citations

15.

Pigoli, Davide & Laura M. Sangalli. (2012). Wavelets in functional data analysis: Estimation of multidimensional curves and their derivatives. Computational Statistics & Data Analysis. 56(6). 1482–1498. 15 indexed citations

16.

Pigoli, Davide, John A. D. Aston, Ian L. Dryden, & Piercesare Secchi. (2012). Distances and inference for covariance functions. 2 indexed citations

17.

Ieva, Francesca, Anna Maria Paganoni, Davide Pigoli, & Valeria Vitelli. (2011). Multivariate functional clustering for the analysis of ECG curves morphology. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–4. 6 indexed citations

18.

Ieva, Francesca, Anna Maria Paganoni, Davide Pigoli, & Valeria Vitelli. (2011). Ecg signal reconstruction, landmark registration and functional classification. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3 indexed citations

19.

Pigoli, Davide & Laura M. Sangalli. (2010). Wavelet smoothing for curves in more than one dimension. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–8. 1 indexed citations

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.

Explore authors with similar magnitude of impact