Power and Networks in Worldwide Knowledge Coordination: The Case of Global Science

King, Roger

doi:10.1057/hep.2011.9

Cited by 39 publications

(21 citation statements)

References 6 publications

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“…In that sense, we have to limit the scope of interpretation to the fact that, within these journals, the topics discussed do not vary much. Nevertheless, this result is inline with many other studies in the field on the unequal distribution of citations, at least in international journals (Bonitz et al 1997;Demeter and Toth 2020;King 2011;Merton 1974).…”

Section: Country-level Analysissupporting

confidence: 88%

Semantic and relational spaces in science of science: deep learning models for article vectorisation

et al. 2021

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Over the last century, we observe a steady and exponential growth of scientific publications globally. The overwhelming amount of available literature makes a holistic analysis of the research within a field and between fields based on manual inspection impossible. Automatic techniques to support the process of literature review are required to find the epistemic and social patterns that are embedded in scientific publications. In computer sciences, new tools have been developed to deal with large volumes of data. In particular, deep learning techniques open the possibility of automated end-to-end models to project observations to a new, low-dimensional space where the most relevant information of each observation is highlighted. Using deep learning to build new representations of scientific publications is a growing but still emerging field of research. The aim of this paper is to discuss the potential and limits of deep learning for gathering insights about scientific research articles. We focus on document-level embeddings based on the semantic and relational aspects of articles, using Natural Language Processing (NLP) and Graph Neural Networks (GNNs). We explore the different outcomes generated by those techniques. Our results show that using NLP we can encode a semantic space of articles, while GNN we enable us to build a relational space where the social practices of a research community are also encoded.

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Section: Country-level Analysissupporting

confidence: 88%

Semantic and relational spaces in science of science: deep learning models for article vectorisation

et al. 2021

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“…King (2011) downplays the role of governments in facilitating international cooperation among scientists, instead allocating the primary role to the individual curiosity and career desires of scientists in a self-organising network of global science that is increasingly immune to government interference. According to King (2011, p. 371), '[t]he recent movement to globally based, networked science is controlled effectively by researchers rather than by governments'.…”

Section: Resultsmentioning

confidence: 99%

“…Moreover, the growth of international trade (Ben-David, 1971) and the emergence of multinational firms in such science-based industries as pharmaceuticals and biotechnology (Peters, 2006) have also supported the expansion of international research collaboration. Finally, revolutionary advances in information and communications technology (Gibbons et al, 1994;King, 2011;Kouzes, Myers, & Wulf, 1996) and a decreasing cost of international travel (Williams & Losier, 2009) have eased mobility and interaction between scientists.…”

mentioning

confidence: 99%

Pursuing scientific excellence globally: internationalising research as a policy target

Lasthiotakis

Sigurdson

Sá

2013

Journal of Higher Education Policy and Management

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International collaboration is a rapidly growing aspect of university research and a priority of research funding agencies. This article investigates the rationales that underlie Canadian federal research councils' support of international research collaborations. Such support has deep roots in Canadian science and technology policy but has taken on a new importance in the past decade. Even in a context of increasingly costly scientific activity and fierce competition for resources, four sets of goals and associated arguments underpin investments in international collaboration: (1) creating economy of scale, (2) developing human resources, (3) advancing economic and scientific competitiveness and (4) solving global problems. Overall, international research collaborations are today a key policy target in Canada, sought for a variety of reasons but not without challenges.

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“…Global science is commonly understood as deeply hierarchical: a few "core" countries in the "global north" dominate the norms and institutions that guide research activity, 1 University of Toronto, Ontario, Canada produce most research that is recognized internationally, and exert a strong influence over the direction of academic disciplines (Collyer, 2018;King, 2011;Peters, 2006). Most other countries, particularly those in the "global South," are commonly viewed as occupying a peripheral position in this global system, as their domestic research problems and objectives are not perceived as scientifically relevant or interesting to the international community.…”

Section: Introductionmentioning

confidence: 99%

Highly Cited in the South: International Collaboration and Research Recognition Among Brazil’s Highly Cited Researchers

Martínez

Sá

2019

Journal of Studies in International Education

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For researchers in the global South, international recognition in science arguably involves engaging with the norms, ideas, and people leading research activity in the global North. This article explores the relationship between international research collaboration and the publication activity of highly cited researchers in Brazil, a country that exerts regional leadership in scientific production in Latin America, but remains relatively peripheral to global science. This study examined the career trajectories and publication patterns of highly cited researchers based in Brazilian universities, using Web of Science and CV data. Our findings show a pattern of international mobility among the Brazilian highly cited researchers from the early stages of their careers. With few exceptions, engagement with the academic Anglosphere is central to their achievement of highly cited status, which is derived from co-authored publications with collaborators from the United States, the United Kingdom, and Australia in large teams.

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Power and Networks in Worldwide Knowledge Coordination: The Case of Global Science

Cited by 39 publications

References 6 publications

Semantic and relational spaces in science of science: deep learning models for article vectorisation

Semantic and relational spaces in science of science: deep learning models for article vectorisation

Pursuing scientific excellence globally: internationalising research as a policy target

Highly Cited in the South: International Collaboration and Research Recognition Among Brazil’s Highly Cited Researchers

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