Globalization of science and international scientific collaboration: A network perspective

Gui, Qinchang; Liu, Chengliang; Du, Debin

doi:10.1016/j.geoforum.2019.06.017

Cited by 153 publications

(122 citation statements)

References 83 publications

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“…Zitt reported that France, Germany, Japan, the United Kingdom, and the United States were the the top five countries of scientific cooperation from 1986 to 1996 [31]. Gui et al studied the structure, dynamics, and determinants of the international scientific cooperation network from 2000 to 2015, and found that the United States, the United Kingdom, Germany, France, and Canada, and other traditional scientific powers, still occupied a central position in the network [32].…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism

Shi

Yang

2020

Sustainability

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The collaboration of scientists is important for promoting the scientific development and technological progress of a country, and even of the world. Based on the cooperation data of academicians of the Chinese Academy of Sciences (CAS) in the China National Knowledge Infrastructure (CNKI), we portray the scientific cooperation network of Chinese scientists using Pajek, Gephi, ArcGIS, and other software, and the complexity of the scientific cooperation network of Chinese scientists and its proximity mechanism are explored by combining complex network analysis, spatial statistical analysis, and negative binomial regression models. Our main conclusions are as follows: (1) In terms of network structure, the scientific cooperation network of Chinese scientists has a multi-triangular skeleton, with Beijing as its apex. The network has an obvious hierarchical structure. Beijing and Shanghai are located in the core area, and 16 cities are located in the semi-periphery of the network, while other cities are located at the periphery of the network. (2) In terms of spatial distribution, the regional imbalance of the scientific cooperation of Chinese scientists is obvious. Beijing–Tianjin–Hebei, the Yangtze River Delta, and the central-south region of Liaoning are hot spots for the scientific research activities of Chinese scientists. (3) The negative binomial regression model accurately explains the proximity mechanism of the scientific cooperation network of Chinese scientists. The geographical proximity positively affects the scientific cooperation of Chinese scientists under certain conditions. The educational proximity is the primary consideration for scientists to cooperate in scientific research. The closer the educational level of the cities, the greater the cooperation. Economic and social proximity can promote scientific cooperation among scientists, whereas institutional proximity negatively and significantly affects scientific cooperation.

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Section: Literature Review and Hypothesesmentioning

confidence: 99%

The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism

Shi

Yang

2020

Sustainability

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“…In case of Cyprus, Slovenia and Norway this increase was probably the result of low collaboration values in previous periods, which caused such extreme values. But the cases of Spain and France are notable, as this increase may continue, and therefore significantly change the US-EUC collaboration structure, which is currently most represented by the United Kingdom and Germany -this supports the trend of transition from core-periphery to a multi-centric model of world science (Gui et al, 2019). The intense growth of Turkey-US collaboration (Aytac, 2010, p. 3) that was once pointed out seems not to be the case in SM.…”

Section: Countriesmentioning

confidence: 57%

“…The 5 EUC countries that collaborated most with the US were: United Kingdom (106, 18.03%), Germany (67, 11.39%), Italy (52, 8.84%), France (50, 8.50%), and Spain (43, 7.31%). The strong position of UK may not only be the result of the language, but also the Anglo-American bipolar model (Gui et al, 2019). It is worth noting the low level of collaboration between the US and Central and Eastern Europe (the former Soviet Bloc).…”

Section: Countriesmentioning

confidence: 99%

Transatlantic Affiliations of Scientific Collaboration in Strategic Management: A Quarter-Century of Bibliometric Evidence

Kosch

Szarucki

2020

Journal of Business Economics and Management

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The main objective of the paper is to identify and explore patterns and dynamics of transatlantic scientific collaboration in the field of strategic management between the United States (US) and European countries (EUC) during the last quarter century. Scholarly connections between countries, cities and institutions on the basis of co-author affiliations were analysed to determine the knowledge flow from a geographical perspective. This is the first time international scientific collaboration between researchers in the field of strategic management has been studied to such an extent. We employed all sources of relevant data from the Web of Science and Scopus databases and explored 453 results. Utilizing a bibliometric analysis, our study offers a comprehensive and up-todate identification and assessment of the current situation and dynamics of transatlantic scientific collaboration. The obtained results confirm the dominant role of the US in this type of collaboration. Also, the dominant role of several clusters in terms of collaboration, both on country and institution levels can also be observed. The study confirms the weaker position of Eastern and Central Europe countries in this collaboration and provides some recommendations to increase this type of knowledge exchange in the future.

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“…In addition, international collaborations are located in a tri-polar world (Europe, North America, and Asia-Pacific); the science powerhouses are countries placed in the central positions of the networks, surrounded by emerging scientific countries. Possible reasons for collaborations may include English language skills, post-colonial links, science skill proximity, economic proximity, and international students, among others [53]. According to organizations, Table 2 describes the 10 most active organizations, including the number of publications, their affiliated countries, and their average citations per publication.…”

Section: General Trends Of Publications and Citationsmentioning

confidence: 99%

Fuel-Cell Electric Vehicles: Plotting a Scientific and Technological Knowledge Map

et al. 2020

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The fuel-cell electric vehicle (FCEV) has been defined as a promising way to avoid road transport greenhouse emissions, but nowadays, they are not commercially available. However, few studies have attempted to monitor the global scientific research and technological profile of FCEVs. For this reason, scientific research and technological development in the field of FCEV from 1999 to 2019 have been researched using bibliometric and patent data analysis, including network analysis. Based on reports, the current status indicates that FCEV research topics have reached maturity. In addition, the analysis reveals other important findings: (1) The USA is the most productive in science and patent jurisdiction; (2) both Chinese universities and their authors are the most productive in science; however, technological development is led by Japanese car manufacturers; (3) in scientific research, collaboration is located within the tri-polar world (North America-Europe-Asia-Pacific); nonetheless, technological development is isolated to collaborations between companies of the same automotive group; (4) science is currently directing its efforts towards hydrogen production and storage, energy management systems related to battery and hydrogen energy, Life Cycle Assessment, and greenhouse gas (GHG) emissions. The technological development focuses on technologies related to electrically propelled vehicles; (5) the International Journal of Hydrogen Energy and SAE Technical Papers are the two most important sources of knowledge diffusion. This study concludes by outlining the knowledge map and directions for further research.

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Globalization of science and international scientific collaboration: A network perspective

Cited by 153 publications

References 83 publications

The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism

The Scientific Cooperation Network of Chinese Scientists and Its Proximity Mechanism

Transatlantic Affiliations of Scientific Collaboration in Strategic Management: A Quarter-Century of Bibliometric Evidence

Fuel-Cell Electric Vehicles: Plotting a Scientific and Technological Knowledge Map

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