PUBBLICAZIONE/PUBLICATION

Permanent URI for this communityhttps://gendermore.unimore.it/handle/123456789/1575

Browse

Settings

Author: search.filters.author.Aksnes, D.W.Subject: search.filters.subject.Productivity

Search Results

Now showing 1 - 2 of 2
  • Item type:Publication,
    Publication rate expressed by age, gender and academic position - A large-scale analysis of Norwegian academic staff Open PDF 
    (2015)
    Rørstad, K.
    ;
    Aksnes, D.W.
    This study investigates how scientific performance in terms of publication rate is influenced by the gender, age and academic position of the researchers. Previous studies have shown that these factors are important variables when analysing scientific productivity at the individual level. What is new with our approach is that we have been able to identify the relative importance of the different factors based on regression analyses (OLS) of each major academic field. The study, involving almost 12,400 Norwegian university researchers, shows that academic position is more important than age and gender. In the fields analysed, the regression model can explain 13.5-19 per cent of the variance in the publication output at the levels of individuals. This also means that most of the variance in publication rate is due to other factors. © 2015 The Authors.
  • Item type:Publication,
    Gender differences in research performance within and between countries: Italy vs Norway Open PDF 
    (2021)
    Abramo, G.
    ;
    Aksnes, D.W.
    ;
    D'Angelo, C.A.
    In this study, the scientific performance of Italian and Norwegian university professors is analysed using bibliometric indicators. The study is based on over 36,000 individuals and their publication output during the period 2011-2015. Applying a multidimensional indicator in which several aspects of the research performance are captured, we find large differences in the performance of men and women. These gender differences are evident across all analysed levels, such as country, field, and academic position. However, most of the gender differences can be explained by the tails of the distributions - in particular, there is a much higher proportion of men among the top 10 % performing scientists. For the remaining 90 % of the population, the gender differences are practically non-existent. The results of the two countries, which differ in terms of the societal role of women, are contrasting. Further, we discuss possible biases that are intrinsic in quantitative performance indicators, which might disfavour female researchers. © 2021 Elsevier Ltd.