Daniel Gervini

813 total citations
19 papers, 479 citations indexed

About

Daniel Gervini is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Daniel Gervini has authored 19 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 7 papers in Statistics, Probability and Uncertainty and 4 papers in Artificial Intelligence. Recurrent topics in Daniel Gervini's work include Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (7 papers). Daniel Gervini is often cited by papers focused on Advanced Statistical Methods and Models (12 papers), Statistical Methods and Inference (12 papers) and Advanced Statistical Process Monitoring (7 papers). Daniel Gervini collaborates with scholars based in United States, Switzerland and Germany. Daniel Gervini's co-authors include Vı́ctor J. Yohai, Théo Gasser, Valentin Rousson and Patrick A. Carter and has published in prestigious journals such as Technometrics, Biometrics and Biometrika.

In The Last Decade

Daniel Gervini

19 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gervini United States 12 303 128 92 45 41 19 479
Ivan Mizera Canada 12 344 1.1× 92 0.7× 109 1.2× 24 0.5× 22 0.5× 27 522
Pavlo Mozharovskyi France 11 147 0.5× 91 0.7× 83 0.9× 9 0.2× 12 0.3× 25 372
Louis Ferré France 9 155 0.5× 21 0.2× 62 0.7× 13 0.3× 35 0.9× 16 319
Riccardo Gatto Switzerland 9 129 0.4× 43 0.3× 107 1.2× 14 0.3× 8 0.2× 45 315
Miguel A. Gómez–Villegas Spain 11 246 0.8× 70 0.5× 109 1.2× 12 0.3× 12 0.3× 30 376
Davide Pigoli United Kingdom 9 89 0.3× 15 0.1× 96 1.0× 43 1.0× 9 0.2× 19 245
Peter Radchenko United States 11 295 1.0× 15 0.1× 131 1.4× 21 0.5× 18 0.4× 16 484
Volker Mammitzsch Germany 6 287 0.9× 48 0.4× 100 1.1× 10 0.2× 10 0.2× 18 421
Eduardo Gutiérrez‐Peña Mexico 12 182 0.6× 18 0.1× 177 1.9× 21 0.5× 9 0.2× 40 374

Countries citing papers authored by Daniel Gervini

Since Specialization
Citations

This map shows the geographic impact of Daniel Gervini'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 Daniel Gervini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gervini more than expected).

Fields of papers citing papers by Daniel Gervini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gervini. 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 Daniel Gervini. The network helps show where Daniel Gervini may publish in the future.

Co-authorship network of co-authors of Daniel Gervini

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

All Works

19 of 19 papers shown
1.
Gervini, Daniel. (2022). Spatial kriging for replicated temporal point processes. Spatial Statistics. 51. 100681–100681. 1 indexed citations
2.
Gervini, Daniel. (2021). Doubly stochastic models for spatio‐temporal covariation of replicated point processes. Canadian Journal of Statistics. 50(1). 287–303. 2 indexed citations
3.
Gervini, Daniel. (2014). Warped functional regression. Biometrika. 102(1). 1–14. 11 indexed citations
4.
Gervini, Daniel. (2014). Dynamic Retrospective Regression for Functional Data. Technometrics. 57(1). 26–34. 8 indexed citations
5.
Gervini, Daniel & Patrick A. Carter. (2014). Warped functional analysis of variance. Biometrics. 70(3). 526–535. 4 indexed citations
6.
Gervini, Daniel. (2011). Outlier detection and trimmed estimation for general functional data. Statistica Sinica. 22 indexed citations
7.
Gervini, Daniel, et al.. (2009). Semiparametric shape-invariant models for periodic data. Journal of Applied Statistics. 36(10). 1055–1065. 2 indexed citations
8.
Gervini, Daniel, et al.. (2008). Choosing Principal Components: A New Graphical Method Based on Bayesian Model Selection. Communications in Statistics - Simulation and Computation. 37(5). 962–977. 17 indexed citations
9.
Gervini, Daniel. (2008). Robust functional estimation using the median and spherical principal components. Biometrika. 95(3). 587–600. 77 indexed citations
10.
Gervini, Daniel, et al.. (2008). Logistic Discrimination with Total Variation Regularization. Communications in Statistics - Simulation and Computation. 37(9). 1825–1838. 1 indexed citations
11.
Gervini, Daniel. (2006). Free-Knot Spline Smoothing for Functional Data. Journal of the Royal Statistical Society Series B (Statistical Methodology). 68(4). 671–687. 22 indexed citations
12.
Gervini, Daniel & Théo Gasser. (2005). Nonparametric maximum likelihood estimation of the structural mean of a sample of curves. Biometrika. 92(4). 801–820. 39 indexed citations
13.
Gervini, Daniel & Valentin Rousson. (2004). Criteria for Evaluating Dimension-Reducing Components for Multivariate Data. The American Statistician. 58(1). 72–76. 17 indexed citations
14.
Gervini, Daniel. (2004). Robust adaptive estimators for binary regression models. Journal of Statistical Planning and Inference. 131(2). 297–311. 5 indexed citations
15.
Gervini, Daniel & Théo Gasser. (2004). Self-Modelling Warping Functions. Journal of the Royal Statistical Society Series B (Statistical Methodology). 66(4). 959–971. 86 indexed citations
16.
Gervini, Daniel. (2003). A robust and efficient adaptive reweighted estimator of multivariate location and scatter. Journal of Multivariate Analysis. 84(1). 116–144. 23 indexed citations
17.
Gervini, Daniel & Vı́ctor J. Yohai. (2002). A class of robust and fully efficient regression estimators. The Annals of Statistics. 30(2). 114 indexed citations
18.
Gervini, Daniel. (2002). The influence function of the Stahel–Donoho estimator of multivariate location and scatter. Statistics & Probability Letters. 60(4). 425–435. 15 indexed citations
19.
Gervini, Daniel & Vı́ctor J. Yohai. (1998). Robust estimation of variance components. Canadian Journal of Statistics. 26(3). 419–430. 13 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.

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