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Author: search.filters.author.D’Angelo, C.A.Subject: search.filters.subject.Bibliometrics

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  • Item type:Publication,
    How long do top scientists maintain their stardom? An analysis by region, gender and discipline: evidence from Italy Open PDF 
    (2017)
    Abramo, G.
    ;
    D’Angelo, C.A.
    ;
    Soldatenkova, A.
    We investigate the question of how long top scientists retain their stardom. We observe the research performance of all Italian professors in the sciences over three consecutive four-year periods, between 2001 and 2012. The top scientists of the first period are identified on the basis of research productivity, and their performance is then tracked through time. The analyses demonstrate that more than a third of the nation’s top scientists maintain this status over the three consecutive periods, with higher shares occurring in the life sciences and lower ones in engineering. Compared to males, females are less likely to maintain top status. There are also regional differences, among which top status is less likely to survive in southern Italy than in the north. Finally we investigate the longevity of unproductive professors, and then check whether the career progress of the top and unproductive scientists is aligned with their respective performances. The results appear to have implications for national policies on academic recruitment and advancement. © 2016, Akadémiai Kiadó, Budapest, Hungary.
  • Item type:Publication,
    The effects of gender, age and academic rank on research diversification Open PDF 
    (2018)
    Abramo, G.
    ;
    D’Angelo, C.A.
    ;
    Di Costa, F.
    In this work we analyze the combined effects of gender, age and academic rank on the propensity of individual scholars to diversify their scientific activity. The aspect of research diversification is measured along three main dimensions, namely its extent and intensity and the cognitive relatedness of the fields of diversification. We apply two regression models to the dataset of scientific output of all Italian professors in the sciences over the period 2004–2008. The aim is to understand how personal and organizational traits can influence individual behaviors in terms of research diversification. Among other considerations, our findings urge caution in identifying research diversification as a co-determinant of the gender productivity gap between males and females. © 2017, Akadémiai Kiadó, Budapest, Hungary.