The resistible decline of European science

Using a new data set that allows us to analyze precisely the research output in all fields of science, we show that the gap in scientific performance between Europe, especially continental Europe, and Anglo-Saxon countries, especially the USA, is large. We measure research quality by the number of highly cited researchers in nineteen selected scientific fields. After controlling for different variables, such as par capita GDP and outlays in R&D, the differences in productivity between Anglo-Saxon countries and other countries are explained, not surprisingly, by the importance of English proficiency, but also by the quality of institutions and of governance of the countries in the studied sample, the latter being in all likelihood highly correlated with the governance quality of research institutions

Mapping Diversity of Publication Patterns in the Social Sciences and Humanities: An Approach Making Use of Fuzzy Cluster Analysis

&lt;b&gt;Purpose:&lt;/b&gt; To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.&lt;br&gt;&lt;b&gt;Design/methodology/approach:&lt;/b&gt; In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.&lt;br&gt;&lt;b&gt;Findings:&lt;/b&gt; As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers&#39; specialization and dissemination strategies.&lt;br&gt;&lt;b&gt;Research limitations:&lt;/b&gt; The dataset used is limited to one country for the years 2000-2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.&lt;br&gt;&lt;b&gt;Practical implications:&lt;/b&gt; Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.&lt;br&gt;&lt;b&gt;Originality/value:&lt;/b&gt; The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.&lt;b&gt;Purpose:&lt;/b&gt; To present a method for systematically mapping diversity of publication patterns at the author level in the social sciences and humanities in terms of publication type, publication language and co-authorship.&lt;br&gt;&lt;b&gt;Design/methodology/approach:&lt;/b&gt; In a follow-up to the hard partitioning clustering by Verleysen and Weeren in 2016, we now propose the complementary use of fuzzy cluster analysis, making use of a membership coefficient to study gradual differences between publication styles among authors within a scholarly discipline. The analysis of the probability density function of the membership coefficient allows to assess the distribution of publication styles within and between disciplines.&lt;br&gt;&lt;b&gt;Findings:&lt;/b&gt; As an illustration we analyze 1,828 productive authors affiliated in Flanders, Belgium. Whereas a hard partitioning previously identified two broad publication styles, an international one vs. a domestic one, fuzzy analysis now shows gradual differences among authors. Internal diversity also varies across disciplines and can be explained by researchers&#39; specialization and dissemination strategies.&lt;br&gt;&lt;b&gt;Research limitations:&lt;/b&gt; The dataset used is limited to one country for the years 2000-2011; a cognitive classification of authors may yield a different result from the affiliation-based classification used here.&lt;br&gt;&lt;b&gt;Practical implications:&lt;/b&gt; Our method is applicable to other bibliometric and research evaluation contexts, especially for the social sciences and humanities in non-Anglophone countries.&lt;br&gt;&lt;b&gt;Originality/value:&lt;/b&gt; The method proposed is a novel application of cluster analysis to the field of bibliometrics. Applied to publication patterns at the author level in the social sciences and humanities, for the first time it systematically documents intra-disciplinary diversity.</span

Should Top Universities Be Led By Top Researchers and Are They? A Citations Analysis

[Excerpt] This paper addresses the question: should the world’s top universities be led by top researchers, and are they? The lifetime citations are counted by hand of the leaders of the world’s top 100 universities identified in a global university ranking. These numbers are then normalized by adjusting for the different citation conventions across academic disciplines. Two statistical measures are used -- Pearson\u27s correlation coefficient and Spearman\u27s rho. This study documents a positive correlation between the lifetime citations of a University’s president and the position of that university in the global ranking. Better universities are run by better researchers. The results are not driven by outliers. That the top universities in the world -- who have the widest choice of candidates -- systematically appoint top researchers as their vice chancellors and presidents seems important to understand. This paper also shows that the pattern of presidents life-time citations follows a version of Lotka’s power law. There are two main areas of contribution. First, this paper attempts to use bibliometric data to address a performance- related question of a type not seen before (to the author’s knowledge). Second, despite the importance of research to research universities -- as described in many mission-statements -- no studies currently exist that ask whether it matters if the head of a research university is himself or herself a committed researcher. Given the importance of universities in the world, and the difficulty that many have in appointing leaders, this question seems pertinent

High- and low-impact citation measures : empirical applications.

This paper contains the first empirical applications of a novel methodology for comparing the citation distributions of research units working in the same homogeneous field. The paper considers a situation in which the world citation distribution in 22 scientific fields is partitioned into three geographical areas: the U.S., the European Union (EU), and the rest of the world (RW). Given a critical citation level (CCL), we suggest using two real valued indicators to describe the shape of each area’s distribution: a high- and a low-impact measure defined over the set of articles with citations below or above the CCL. It is found that, when the CCL is fixed at the 80th percentile of the world citation distribution, the U.S. performs dramatically better than the EU and the RW according to both indicators in all scientific fields. This superiority generally increases as we move from the incidence to the intensity and the citation inequality aspects of the phenomena in question. Surprisingly, changes observed when the CCL is increased from the 80th to the 95th percentile are of a relatively small order of magnitude. Finally, it is found that international co-authorship increases the high-impact and reduces the low-impact level in the three geographical areas. This is especially the case for the EU and the RW when they cooperate with the U.S.Research evaluation; Citation distribution; Scientific ranking; Impact indicators;

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High - and low-impact citation measures: empirical applications

This paper contains the first empirical applications of a novel methodology for comparing the citation distributions of research units working in the same homogeneous field. The paper considers a situation in which the world citation distribution in 22 scientific fields is partitioned into three geographical areas: the U.S., the European Union (EU), and the rest of the world (RW). Given a critical citation level (CCL), we suggest using two real valued indicators to describe the shape of each area’s distribution: a high- and a low-impact measure defined over the set of articles with citations below or above the CCL. It is found that, when the CCL is fixed at the 80th percentile of the world citation distribution, the U.S. performs dramatically better than the EU and the RW according to both indicators in all scientific fields. This superiority generally increases as we move from the incidence to the intensity and the citation inequality aspects of the phenomena in question. Surprisingly, changes observed when the CCL is increased from the 80th to the 95th percentile are of a relatively small order of magnitude. Finally, it is found that international co-authorship increases the high-impact and reduces the low-impact level in the three geographical areas. This is especially the case for the EU and the RW when they cooperate with the U.S.

The resistible decline of European science

Using a data set of highly cited researchers in all fields of science, we show that the gapin scientific performance between Europe, especially continental Europe, and the USAis large. We model the number of highly cited researchers in a sample of countries as afunction of physical and human capital and a country-specific, factor-augmentingHicks-neutral productivity term. We find that differences in productivity betweenAnglo-Saxon countries and other countries are not solely due to differences in the levelsof inputs. Not surprisingly, our results reveal the importance of English proficiency.However, they also show that the governance and design of research institutions thatcharacterize Anglo-Saxon countries, as well as a few other countries that have similarinstitutions, is another critical factor for research output.research performance, citations, knowledge economies, university governance

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