Luca Scrucca

6.7k total citations · 4 hit papers
54 papers, 4.2k citations indexed

About

Luca Scrucca is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Luca Scrucca has authored 54 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 6 papers in Molecular Biology. Recurrent topics in Luca Scrucca's work include Bayesian Methods and Mixture Models (18 papers), Advanced Clustering Algorithms Research (8 papers) and Gene expression and cancer classification (6 papers). Luca Scrucca is often cited by papers focused on Bayesian Methods and Mixture Models (18 papers), Advanced Clustering Algorithms Research (8 papers) and Gene expression and cancer classification (6 papers). Luca Scrucca collaborates with scholars based in Italy, United States and Ireland. Luca Scrucca's co-authors include Adrian E. Raftery, Thomas Brendan Murphy, Michael Fop, Annalisa Santucci, Franco Aversa, Chris Fraley, Philip D. Parker, Baljinder K. Sahdra, Joseph Ciarrochi and Isobel Claire Gormley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Journal of Statistical Software.

In The Last Decade

Luca Scrucca

48 papers receiving 4.1k 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.

mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models

2016 1.8k citations Luca Scrucca, Michael Fop et al. The R Journal profile →
Competing risk analysis using R: an easy guide for clinicians

2007 535 citations Luca Scrucca, Annalisa Santucci et al. Bone Marrow Transplantation profile →
GA: A Package for Genetic Algorithms inR

2013 533 citations Luca Scrucca profile →
Model-Based Clustering, Classification, and Density Estimation Using mclust in R

2023 109 citations Luca Scrucca, Thomas Brendan Murphy et al. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) profile →

Peers

Luca Scrucca

MB

AI

ECOLO

ONCOL

GENET

Marepalli B. Rao United States

Daniel J. Stekhoven Switzerland

Heike Hofmann United States

Gregory Campbell United States

Berthold Lausen Germany

Richard A. Levine United States

D. Collett United Kingdom

David Oakes United States

R Holder United Kingdom

James D. Malley United States

Marepalli B. Rao United States

Luca Scrucca

406 ×0.7

MB

326 ×0.6

AI

485 ×1.5

ECOLO

358 ×1.2

ONCOL

306 ×1.1

GENET

Citations per year, relative to Luca Scrucca Luca Scrucca (= 1×) peers Marepalli B. Rao

Countries citing papers authored by Luca Scrucca

Since Specialization

Citations

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

Fields of papers citing papers by Luca Scrucca

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Scrucca

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

20 of 20 papers shown

1.

Scrucca, Luca, et al.. (2025). Sustainability Standards and Decertification: A Bayesian Analysis of SA8000. Corporate Social Responsibility and Environmental Management. 32(5). 6951–6965.

2.

Scrucca, Luca, et al.. (2025). Using Gaussian Mixture Models in plant morphometrics. Perspectives in Plant Ecology Evolution and Systematics. 69. 125902–125902.

3.

Scrucca, Luca & Dimitris Karlis. (2025). A model-based approach to shot charts estimation in basketball. Computational Statistics. 40(4). 2031–2048. 1 indexed citations

4.

Scrucca, Luca. (2024). Entropy-Based Volatility Analysis of Financial Log-Returns Using Gaussian Mixture Models. Entropy. 26(11). 907–907. 2 indexed citations

5.

Scrucca, Luca. (2023). On the Influence of Data Imbalance on Supervised Gaussian Mixture Models. Algorithms. 16(12). 563–563.

6.

Robin, Stéphane & Luca Scrucca. (2022). Mixture-based estimation of entropy. Computational Statistics & Data Analysis. 177. 107582–107582. 8 indexed citations

7.

Scrucca, Luca. (2022). A COVINDEX based on a GAM beta regression model with an application to the COVID-19 pandemic in Italy. Statistical Methods & Applications. 31(4). 881–900. 3 indexed citations

8.

Scrucca, Luca. (2021). A fast and efficient Modal EM algorithm for Gaussian mixtures. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 4 indexed citations

9.

Scrucca, Luca, et al.. (2021). Destination labels for historic villages: The impact on perception, experience, and satisfaction. Tourism and Hospitality Research. 22(2). 164–179. 10 indexed citations

10.

Scrucca, Luca, et al.. (2019). Event sustainability and sustainable transportation: a positive reciprocal influence. Journal of Sustainable Tourism. 28(2). 240–262. 31 indexed citations

11.

Scrucca, Luca, et al.. (2017). Event sustainability and transportation policy: A model-based cluster analysis for a cross-comparison of hallmark events. Tourism Management Perspectives. 24. 72–85. 23 indexed citations

12.

Scrucca, Luca, Michael Fop, Thomas Brendan Murphy, & Adrian E. Raftery. (2016). mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models. The R Journal. 8(1). 289–289. 1794 indexed citations breakdown →

13.

Sahdra, Baljinder K., Joseph Ciarrochi, Philip D. Parker, & Luca Scrucca. (2016). Using Genetic Algorithms in a Large Nationally Representative American Sample to Abbreviate the Multidimensional Experiential Avoidance Questionnaire. Frontiers in Psychology. 7. 189–189. 54 indexed citations

14.

Scrucca, Luca & Adrian E. Raftery. (2015). Improved initialisation of model-based clustering using Gaussian hierarchical partitions. Advances in Data Analysis and Classification. 9(4). 447–460. 42 indexed citations

15.

Scrucca, Luca. (2014). GA: A Package for Genetic Algorithms in R. SHILAP Revista de lepidopterología. 47 indexed citations

16.

Scrucca, Luca. (2012). GA: Genetic Algorithms. 3 indexed citations

17.

Scrucca, Luca, Annalisa Santucci, & Franco Aversa. (2010). Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplantation. 45(9). 1388–1395. 353 indexed citations

18.

Scrucca, Luca, Annalisa Santucci, & Franco Aversa. (2007). Competing risk analysis using R: an easy guide for clinicians. Bone Marrow Transplantation. 40(4). 381–387. 535 indexed citations breakdown →

19.

Scrucca, Luca. (2005). Clustering multivariate spatial data based on local measures of spatial autocorrelation. RePEc: Research Papers in Economics. 24 indexed citations

20.

Scrucca, Luca & Sanford Weisberg. (2004). A Simulation Study to Investigate the Behavior of the Log-Density Ratio Under Normality. Communications in Statistics - Simulation and Computation. 33(1). 159–178. 9 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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