{"id":2,"date":"2015-04-08T09:07:42","date_gmt":"2015-04-08T09:07:42","guid":{"rendered":"http:\/\/people.unipi.it\/cloner\/?page_id=2"},"modified":"2020-01-07T10:14:25","modified_gmt":"2020-01-07T09:14:25","slug":"home","status":"publish","type":"page","link":"https:\/\/people.unipi.it\/nicola_salvati\/","title":{"rendered":"Home"},"content":{"rendered":"

Nicola Salvati
\nAssociate Professor in Statistics
\nDepartment of Economics and Management, Via C. RIDOLFI, 10 56124 PISA
\nUniversity of Pisa
\nPhone Numbers
\nMobile: +39 335 1520560
\nOffice: +39 (0)50 2216 492
\nfax: +39 (0)50 2216 375
\nEmail
\nWork: nicola.salvati@unipi.it<\/a><\/p>\n

My appointment at the University of Pisa is in Methodological Statistics and I am an inter-disciplinary scholar. My work is connected\/contributes to and bridges across methodological statistics, poverty analysis, economics and social statistics. My publication records as well as participation in events and conferences demonstrate active involvement in all these statistical communities, also reflecting the evolution of my research agenda over time. Most of my earlier achievements were in the area of statistical methodology for poverty mapping, while more recently have become interested in developing new statistical methods based on latent variable models for estimating parameters in case of linkage data.<\/p>\n

Scopus<\/a> – Documents: 59, Total Citations: 616, h index: 15;<\/p>\n

WOS<\/a> – Documents: 60, Total Citations: 538, h index: 14;<\/p>\n

Research Gate<\/a>:\u00a0 – RG Score: 30.63, h index 19, Citations: 983;<\/p>\n

Google Scholar<\/a> – Citations: 1746, Indice H: 22, i10-index: 47.<\/p>\n","protected":false},"excerpt":{"rendered":"

Nicola Salvati Associate Professor in Statistics Department of Economics and Management, Via C. RIDOLFI, 10 56124 PISA University of Pisa…<\/p>\n

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