Nicola Lunardon

619 total citations · 1 hit paper
11 papers, 409 citations indexed

About

Nicola Lunardon is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence. According to data from OpenAlex, Nicola Lunardon has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 3 papers in Statistics, Probability and Uncertainty and 1 paper in Artificial Intelligence. Recurrent topics in Nicola Lunardon's work include Advanced Statistical Methods and Models (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (7 papers). Nicola Lunardon is often cited by papers focused on Advanced Statistical Methods and Models (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Methods and Inference (7 papers). Nicola Lunardon collaborates with scholars based in Italy, Switzerland and United Kingdom. Nicola Lunardon's co-authors include Nicola Torelli, Giovanna Menardi, Leonardo Grilli, Luigi Salmaso, Carla Rampichini, Elvezio Ronchetti, Aidan McDermott, Ibrahim Turkoz, Daniel O. Scharfstein and Iván Díaz and has published in prestigious journals such as Biometrics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Nicola Lunardon

9 papers receiving 406 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ROSE: a Package for Binary Imbalanced Learning

2014 361 citations Nicola Lunardon, Giovanna Menardi et al. The R Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicola Lunardon Italy	5	98	51	46	31	26	11	409
Giuseppe Casalicchio Germany	9	180 1.8×	100 2.0×	34 0.7×	32 1.0×	25 1.0×	20	635
Hansi Zhang United States	12	143 1.5×	91 1.8×	20 0.4×	24 0.8×	34 1.3×	28	379
Raphaël Couronné France	6	126 1.3×	50 1.0×	15 0.3×	51 1.6×	21 0.8×	8	652
Norou Diawara United States	12	63 0.6×	33 0.6×	69 1.5×	15 0.5×	17 0.7×	52	547
Aaron Fisher United States	7	101 1.0×	47 0.9×	39 0.8×	17 0.5×	7 0.3×	13	357
Quay Au Germany	7	103 1.1×	51 1.0×	18 0.4×	19 0.6×	22 0.8×	9	494
Florian Pfisterer Germany	6	116 1.2×	52 1.0×	16 0.3×	22 0.7×	21 0.8×	17	380
Roman Hornung Germany	14	105 1.1×	221 4.3×	56 1.2×	29 0.9×	17 0.7×	33	698
Shannan N. Rich United States	9	98 1.0×	48 0.9×	41 0.9×	61 2.0×	4 0.2×	28	388
Prasad Patil United States	13	71 0.7×	232 4.5×	40 0.9×	48 1.5×	48 1.8×	51	746

Countries citing papers authored by Nicola Lunardon

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Lunardon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Lunardon

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Lunardon. A scholar is included among the top collaborators of Nicola Lunardon 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 Nicola Lunardon. Nicola Lunardon 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:

11 of 11 papers shown

1.

Kosmidis, Ioannis & Nicola Lunardon. (2023). Empirical bias-reducing adjustments to estimating functions. Journal of the Royal Statistical Society Series B (Statistical Methodology). 86(1). 62–89. 2 indexed citations

2.

Lunardon, Nicola. (2017). On bias reduction and incidental parameters. Biometrika. 105(1). 233–238. 4 indexed citations

3.

Scharfstein, Daniel O., Aidan McDermott, Iván Díaz, et al.. (2017). Global Sensitivity Analysis for Repeated Measures Studies with Informative Drop-out: A Semi-parametric Approach. Biometrics. 74(1). 207–219. 14 indexed citations

4.

Lunardon, Nicola. (2015). Towards a unification of second-order theory for likelihood and marginal composite likelihood: Table 1.. Biometrika. 103(1). 225–230. 1 indexed citations

5.

Lunardon, Nicola, et al.. (2015). Second‐order Accurate Confidence Regions Based on Members of the Generalized Power Divergence Family. Scandinavian Journal of Statistics. 43(1). 213–227.

6.

Lunardon, Nicola. (2015). Prepivoting composite score statistics by weighted bootstrap iteration. Canadian Journal of Statistics. 43(1). 18–41.

7.

Lunardon, Nicola, Giovanna Menardi, & Nicola Torelli. (2014). ROSE: a Package for Binary Imbalanced Learning. The R Journal. 6(1). 79–79. 361 indexed citations breakdown →

8.

Lunardon, Nicola & Elvezio Ronchetti. (2014). Composite likelihood inference by nonparametric saddlepoint tests. Computational Statistics & Data Analysis. 79. 80–90. 6 indexed citations

9.

Lunardon, Nicola, Giovanna Menardi, & Nicola Torelli. (2013). R package 'ROSE': Random Over-Sampling Examples. Research Padua Archive (University of Padua). 2 indexed citations

10.

Lunardon, Nicola, Francesco Pauli, & Laura Ventura. (2012). A note on empirical likelihoods derived from pairwise score functions. Journal of Statistical Computation and Simulation. 83(8). 1405–1414. 3 indexed citations

11.

Grilli, Leonardo, et al.. (2012). The Use of Permutation Tests for Variance Components in Linear Mixed Models. Communication in Statistics- Theory and Methods. 41(16-17). 3020–3029. 16 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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