A national-scale cross-time analysis of university research performance

Abstract

Research policies in the more developed nations are ever more oriented towards the introduction of productivity incentives and competition mechanisms intended to increase efficiency in research institutions. Assessments of the effects of these policy interventions on public research activity often neglect the normal, inherent variation in the performance of research institutions over time. In this work, we propose a cross-time bibliometric analysis of research performance by all Italian universities in two consecutive periods (2001-2003 and 2004-2008) not affected by national policy interventions. Findings show that productivity and impact increased at the level of individual scientists. At the level of university, significant variation in the rank was observed

RaGA and Tala of Research Productivity: A Study of Leading Business School in India

“…Further, the professors having higher PCP in scientific presentations/invited talks, books, chapters in books, and articles in periodicals/dailies could be due to their higher degree of professional networking and in teaching cases attributed to their greater teaching experience. This is consistent with the findings of Kyvik (1991), Tien and Blackburn (1996), Abramo et al (2011), andAksnes et al (2011).…”

Indicadores bibliométricos para el análisis de la actividad de una institución multidisciplinar: el CSIC

“…The average productivity of researchers in our work is higher than the one described in a study on Italian universities that considers nine areas within the «hard sciences» (Abramo et al, 2011) and its fi ndings are also higher than the ones from a study dealing with several Norwegian universities in nine subfi elds of Natural Science and Medicine (Aksnes and Sivertsen, 2009). However, it is necessary to take into account that only civil servants are considered in our study ignoring non-tenured staff, whereas the above mentioned works deal with university staff who only devote a fraction of their time to make science (50 % in the case of Norwegian universities).…”

Funnel plots for visualizing uncertainty in the research performance of institutions

“…This is true whether the rankings are produced by 'non-bibliometricians', such as the Shanghai Jiao Tong University Ranking (SJTU, 2014), QS World University Rankings (QS, 2014) and Times Higher Education World University Rankings , or whether they are produced by bibliometricians themselves, such as the Scimago Institutions Ranking (Scimago, 2015). In our previous studies (Abramo et al, 2011a), the current authors are like others in omitting the provision of the likely range of research performance values for Italian universities. The CWTS Leiden Rankings instead indicate stability intervals (Waltman et al, 2012).…”