FSP - Scientometrics

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Browsing FSP - Scientometrics by Subject "Research evaluation"

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    Minimum representative size in comparing research performance of Universities : the case of medicine faculties in Romania
    (Chinese Academy of Sciences, National Science Library, 2018) Liu, Xiaoling; Păunescu, Mihai; Preoteasa, Viorel; Wu, Jinsan
    Purpose The main goal of this study is to provide reliable comparison of performance in higher education. In this respect, we use scientometric measures associated with faculties of medicine in the six health studies universities in Romania. Design/methodology/approach The method to estimate the minimum necessary size, proposed in in Shen et al. (2017), is applied in this article. We collected data from the Scopus data-base for the academics of the departments of medicine within the six health studies universities in Romania during the 2009 to 2014. And two kind of statistic treatments based on that method are implemented, pair-wise comparison and one-to-the-rest comparison. All the results of these comparisons are shown. Findings According to the results: We deem that Cluj and Tg. Mureş have the superior and inferior performance respectively, since their reasonably small value of the minimum representative size, in either of the kinds of comparison, whichever indexes of citations, h-index, or g-index is used. we can not reliably distinguish differences among the rest of the faculties, since the quite large value of their minimum representative size. Research limitations There is only six faculties of medicine in health studies universities in Romania are analyzed. Practical implications Our methods of comparison play an important role in ranking data sets associated with different collective units, such as faculties, universities, institutions, based on some aggregate scores like mean and totality. Originality/value We applied the minimum representative size to a new emprical context—that of the departments of medicine in the health studies universities in Romania.
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    Ranking Romanian academic departments in three fields of study using the g-index
    (Routledge, part of the Taylor & Francis Group, 2015) Miroiu, Adrian; Păunescu, Mihai; Vîiu, Gabriel Alexandru
    The scientific performance of 64 political science, sociology and marketing departments in Romania is investigated with the aid of the g-index. The assessment of departments based on the g-index shows, within each of the three types of departments that make up the population of the study, a strong polarisation between top performers (very few) and weak performers (much more numerous). This alternative assessment is also found to be largely consistent with an official ranking of departments carried out in 2011 by the Ministry of Education. To conduct the evaluation of departments the individual scientific output of 1385 staff members working in the fields of political science, sociology and marketing is first determined with the aid of the ‘Publish or Perish’ software based on the Google Scholar database. Distinct department rankings are then created within each field using a successive (second-order) g-index.
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    Research-driven classification and ranking in higher education : an empirical appraisal of a Romanian policy experience
    (Springer Science and Business Media LLC, 2016) Vîiu, Gabriel Alexandru; Păunescu, Mihai; Miroiu, Adrian
    In this paper we investigate the problem of university classification and its relation to ranking practices in the policy context of an official evaluation of Romanian higher education institutions and their study programs. We first discuss the importance of research in the government-endorsed assessment process and analyze the evaluation methodology and the results it produced. Based on official documents and data we show that the Romanian classification of universities was implicitly hierarchical in its conception and therefore also produced hierarchical results due to its close association with the ranking of study programs and its heavy reliance on research outputs. Then, using a distinct dataset on the research performance of 1385 faculty members working in the fields of political science, sociology and marketing we further explore the differences between university categories. We find that our alternative assessment of research productivity-measured with the aid of Hirsch's (Proc Natl Acad Sci 102(46): 16569-16572, 2005) h-index and with Egghe's (Scientometrics 69(1): 131-152, 2006) g-index-only provides empirical support for a dichotomous classification of Romanian institutions.