Luca Scrucca

Geciteerd door

	Alles	Sinds 2020
Citaties	8968	5318
h-index	29	24
i10-index	43	34

1200

600

300

900

2009201020112012201320142015201620172018201920202021202220232024202529 40 68 96 189 261 311 465 517 674 875 918 1033 1083 990 1129 161

Openbare toegang

Alles bekijken

7 artikelen

1 artikel

beschikbaar

niet beschikbaar

Op basis van financieringsmachtigingen

Medeauteurs

Adrian E. RafteryProfessor of Statistics and Sociology, University of WashingtonGeverifieerd e-mailadres voor uw.edu
Brendan MurphyUniversity College DublinGeverifieerd e-mailadres voor ucd.ie
Michael FopLecturer/Assistant Professor University College DublinGeverifieerd e-mailadres voor ucd.ie
Cecilia ChirieleisonAssociate Professor of Business Administration, University of PerugiaGeverifieerd e-mailadres voor unipg.it
Baljinder K. SahdraAssociate Professor, Institute for Positive Psychology and Education, ACUGeverifieerd e-mailadres voor acu.edu.au
Alessio SerafiniData Reply IT srlGeverifieerd e-mailadres voor unipg.it
Isobel Claire GormleyProfessor, School of Mathematics and Statistics, University College DublinGeverifieerd e-mailadres voor ucd.ie
Anthony O'HaganEmeritus Professor, the University of SheffieldGeverifieerd e-mailadres voor sheffield.ac.uk
Joseph CiarrochiProfessor, Institute of Positive Psychology and Education, Australian Catholic UniversityGeverifieerd e-mailadres voor acu.edu.au
Philip D ParkerInstitute of Positive Psychology and Education - Australian Catholic UniversityGeverifieerd e-mailadres voor acu.edu.au
Giovanna MenardiDepartment of Statistical Science, University of PaduaGeverifieerd e-mailadres voor stat.unipd.it
Roberto Cirocchi.Associate Professor of Surgery, University of PerugiaGeverifieerd e-mailadres voor unipg.it
Paul D. McNicholasProfessor & Canada Research Chair, McMaster University, Ontario, CanadaGeverifieerd e-mailadres voor math.mcmaster.ca
Sanford WeisbergProfessor of Statistics, University of MinnesotaGeverifieerd e-mailadres voor umn.edu
Nema DeanQ-step Reader in Statistics, University of GlasgowGeverifieerd e-mailadres voor glasgow.ac.uk
Stéphane ROBINSorbonne universitéGeverifieerd e-mailadres voor sorbonne-universite.fr
Corrado CencettiProfessore ordinario di Geologia Applicata, Università di PerugiaGeverifieerd e-mailadres voor unipg.it
pierluigi de rosaPostDoc, University of PerugiaGeverifieerd e-mailadres voor unipg.it
Avner Bar-HenCNAMGeverifieerd e-mailadres voor cnam.fr
Dilhari T. AttygalleSenior Lecturer, University of ColomboGeverifieerd e-mailadres voor stat.cmb.ac.lk

Volgen

Luca Scrucca

Full Professor of Statistics, University of Bologna, Italy

Geverifieerd e-mailadres voor unibo.it - Homepage

Computational Statistics Mixture models Model-based clustering Classification Genetic Algorithms


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
mclust 5: clustering, classification and density estimation using Gaussian finite mixture models L Scrucca, M Fop, TB Murphy, AE Raftery The R journal 8 (1), 289, 2016	2976	2016
mclust version 4 for R: normal mixture modeling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, TB Murphy, L Scrucca Technical report 597, 1, 2012	1260	2012
GA: A package for genetic algorithms in R L Scrucca Journal of Statistical Software 53, 1-37, 2013	965	2013
Competing risk analysis using R: an easy guide for clinicians L Scrucca, A Santucci, F Aversa Bone marrow transplantation 40 (4), 381-387, 2007	757	2007
Regression modeling of competing risk using R: an in depth guide for clinicians L Scrucca, A Santucci, F Aversa Bone marrow transplantation 45 (9), 1388-1395, 2010	496	2010
qcc: an R package for quality control charting and statistical process control L Scrucca R News 4 (1), 11--17, 2004	312	2004
MCLUST version 3: an R package for normal mixture modeling and model-based clustering C Fraley, AE Raftery WASHINGTON UNIV SEATTLE DEPT OF STATISTICS, 2006	288*	2006
On some extensions to GA package: hybrid optimisation, parallelisation and islands evolution L Scrucca arXiv preprint arXiv:1605.01931, 2016	147	2016
Model-based clustering, classification, and density estimation using mclust in R L Scrucca, C Fraley, TB Murphy, AE Raftery Chapman and Hall/CRC, 2023	136	2023
Using genetic algorithms in a large nationally representative American sample to abbreviate the Multidimensional Experiential Avoidance Questionnaire BK Sahdra, J Ciarrochi, P Parker, L Scrucca Frontiers in Psychology 7, 189, 2016	102	2016
clustvarsel: A package implementing variable selection for Gaussian model-based clustering in R L Scrucca, AE Raftery Journal of Statistical Software 84, 1-28, 2018	101	2018
Dimension reduction for model-based clustering L Scrucca Statistics and Computing 20, 471-484, 2010	90	2010
Improved initialisation of model-based clustering using Gaussian hierarchical partitions L Scrucca, AE Raftery Advances in data analysis and classification 9, 447-460, 2015	79	2015
Prevalence of carotid stenosis in type 2 diabetic patients asymptomatic for cerebrovascular disease. M De Angelis, L Scrucca, M Leandri, S Mincigrucci, S Bistoni, M Bovi, ... Diabetes, nutrition & metabolism 16 (1), 48-55, 2003	75	2003
Robotic right hemicolectomy: analysis of 108 consecutive procedures and multidimensional assessment of the learning curve A Parisi, L Scrucca, J Desiderio, A Gemini, S Guarino, F Ricci, R Cirocchi, ... Surgical Oncology 26 (1), 28-36, 2017	73	2017
mclust: Gaussian mixture modelling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, L Scrucca, TB Murphy, M Fop R package version 5 (2), 2016	72	2016
mclust: Normal mixture modeling for model-based clustering, classification, and density estimation C Fraley, AE Raftery, L Scrucca	66	2012
Model-based SIR for dimension reduction L Scrucca Computational Statistics & Data Analysis 55 (11), 3010-3026, 2011	64	2011
mclust 5: Clustering, classification and density estimation using Gaussian finite mixture models. The R Journal, 8 (1), 289–317 L Scrucca, M Fop, TB Murphy, AE Raftery DOI 10.32614/RJ-2016-021, 2016	58	2016
Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap A O’Hagan, TB Murphy, L Scrucca, IC Gormley Computational Statistics 34 (4), 1779-1813, 2019	56*	2019

Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.

Artikelen 1–20

Citaties per jaar

Dubbele citaties

Samengevoegde citaties

Medeauteurs toevoegenMedeauteurs

Volgen

Geciteerd door

Medeauteurs