Analysis of scientific collaboration patterns in the co-authorship network of Simulation–Optimization of supply chains

2014 ◽  
Vol 46 ◽  
pp. 135-148 ◽  
Author(s):  
Aida Huerta-Barrientos ◽  
Mayra Elizondo-Cortés ◽  
Idalia Flores de la Mota
Keyword(s):  
Supply Chains ◽  
Scientific Collaboration ◽  
Simulation Optimization ◽  
Collaboration Patterns

Scientific collaboration patterns vary with scholars’ academic ages

2017 ◽  
Vol 112 (1) ◽  
pp. 329-343 ◽  
Author(s):  
Wei Wang ◽  
Shuo Yu ◽  
Teshome Megersa Bekele ◽  
Xiangjie Kong ◽  
Feng Xia
Keyword(s):  
Scientific Collaboration ◽  
Collaboration Patterns

scholarly journals Evolution and convergence of the patterns of international scientific collaboration

2016 ◽  
Vol 113 (8) ◽  
pp. 2057-2061 ◽  
Author(s):  
Mario Coccia ◽  
Lili Wang
Keyword(s):  
International Research ◽  
Scientific Collaboration ◽  
Research Collaboration ◽  
Basic Sciences ◽  
International Research Collaboration ◽  
International Scientific Collaboration ◽  
Long Run ◽  
Collaboration Patterns ◽  
Scientific Fields ◽  
Over Time

International research collaboration plays an important role in the social construction and evolution of science. Studies of science increasingly analyze international collaboration across multiple organizations for its impetus in improving research quality, advancing efficiency of the scientific production, and fostering breakthroughs in a shorter time. However, long-run patterns of international research collaboration across scientific fields and their structural changes over time are hardly known. Here we show the convergence of international scientific collaboration across research fields over time. Our study uses a dataset by the National Science Foundation and computes the fraction of papers that have international institutional coauthorships for various fields of science. We compare our results with pioneering studies carried out in the 1970s and 1990s by applying a standardization method that transforms all fractions of internationally coauthored papers into a comparable framework. We find, over 1973–2012, that the evolution of collaboration patterns across scientific disciplines seems to generate a convergence between applied and basic sciences. We also show that the general architecture of international scientific collaboration, based on the ranking of fractions of international coauthorships for different scientific fields per year, has tended to be unchanged over time, at least until now. Overall, this study shows, to our knowledge for the first time, the evolution of the patterns of international scientific collaboration starting from initial results described by literature in the 1970s and 1990s. We find a convergence of these long-run collaboration patterns between the applied and basic sciences. This convergence might be one of contributing factors that supports the evolution of modern scientific fields.

scholarly journals Feature analysis of multidisciplinary scientific collaboration patterns based on PNAS

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Zheng Xie ◽  
Miao Li ◽  
Jianping Li ◽  
Xiaojun Duan ◽  
Zhenzheng Ouyang
Keyword(s):  
Scientific Collaboration ◽  
Feature Analysis ◽  
Collaboration Patterns

scholarly journals Scientific Collaboration on COVID-19 Amidst Geopolitical Tensions between the US and China

2020 ◽  
Author(s):  
Jenny J. Lee ◽  
John P. Haupt
Keyword(s):  
International Collaboration ◽  
Scientific Collaboration ◽  
Political Rhetoric ◽  
Science And Engineering ◽  
The Past ◽  
Global Science ◽  
The Us ◽  
International Collaborations ◽  
Collaboration Patterns ◽  
Scientometric Study

Abstract As the threat of COVID-19 and US-China tensions are increasing, this study focused on this intensifying intersection between geopolitics and global science in the midst of a pandemic. This scientometric study examined the US’ and China’s international collaboration patterns on science and engineering (S&E) COVID-19 articles through the lenses of scientific nationalism and scientific globalism. While scientific nationalism would assume that the current political rhetoric and protectionist policies would lead to a decrease in international collaboration, our findings showed the reverse. The world’s proportion of international collaborations generally increased. Findings also revealed that despite geopolitical tensions, the highest number of internationally coauthored S&E COVID-19 articles between two countries involve the US and China. Their collaboration rate on COVID-19 is higher than during the past five-years as well as on non-COVID-19 articles published during 2020.

Global scientific collaboration: A social network analysis and data mining of the co-authorship networks

2021 ◽  
pp. 016555152110406
Author(s):  
Alireza Isfandyari-Moghaddam ◽  
Mohammad Karim Saberi ◽  
Safieh Tahmasebi-Limoni ◽  
Sajjad Mohammadian ◽  
Farahnaz Naderbeigi
Keyword(s):  
Data Mining ◽  
Scientific Collaboration ◽  
Clustering Coefficient ◽  
Scientific Publications ◽  
Highly Cited Papers ◽  
Significant Difference ◽  
The World ◽  
The Usa ◽  
Collaboration Patterns ◽  
Highly Cited

Co-authorship networks consist of nodes and numerous links indicating scientific collaboration of researchers. These networks could be studied through social networks analysis and data mining techniques. The focus of the article is twofold: the first objective is the analysis of the co-authorship networks of the top 60 countries that had the highest number of scientific publications in the world, and the second one is the discovery of collaboration patterns of highly cited papers of these countries. To do so, all scientific publications of the top 60 countries in all fields as well as their highly cited papers were included in the study period between 2011 and 2015. The research samples in the first part included 10,460,999 documents and in the second part encompassed 711,025 highly cited papers. Required data were extracted from web of science database. To analyse co-authorship networks, centrality indices and clustering coefficient were used. UCINET, Pajek, VOSviewer and BibExcel software were used to map co-authorship networks of the countries and to calculate indices. Finally, the discovery of collaboration patterns in highly cited papers is studied through association rules. The research data indicated that over 95% of documents has been produced by the top 60 countries. In addition, the USA, Germany, England, France and Spain launched the most co-authorship. Quantitatively, there have been the most powerful collaboration links between China and the USA, the USA and England, the USA and Germany, and the USA and Canada. The clustering data indicated that collaborations of the top countries of the world were in three main clusters. The Friedman test showed that there was a significant difference in the priorities of the countries for collaboration; and the USA, China, England, Germany, France, Japan and Italy are in the top priority for collaboration, respectively. The results of collaboration pattern in highly cited papers indicated that the USA participates in more than half of collaboration patterns for producing highly cited papers.

scholarly journals Mapping the efficiency of international scientific collaboration between cities worldwide

2019 ◽  
Vol 46 (4) ◽  
pp. 575-578
Author(s):  
György Csomós ◽  
Balázs Lengyel
Keyword(s):  
Scientific Collaboration ◽  
Publication Output ◽  
Citation Impact ◽  
International Scientific Collaboration ◽  
Spatial Aspect ◽  
Fundamental Phenomenon ◽  
Collaboration Patterns ◽  
The Impact ◽  
Science Cities ◽  
Highly Cited

International scientific collaboration, a fundamental phenomenon of science, has been studied from several perspectives for decades. In the spatial aspect of science, cities have generally been considered by their publication output or by their citation impact. Only a minority of scientometric studies focus on exploring collaboration patterns of cities. In this visualisation, we go beyond the well-known approaches and map international scientific collaboration patterns of the most prominent science hubs considering both the quantity and the impact of papers produced in the collaboration. The analysis involves 245 cities and the collaboration matrix contains a total number of 7718 international collaboration links. Results show that US–Europe co-publication links are more efficient in terms of producing highly cited papers than those international links that Asian cities have built in scientific collaboration.

An online cost allocation model for horizontal supply chains

2021 ◽  
Vol 122 ◽  
pp. 102888
Author(s):  
Han Zou ◽  
Maged M. Dessouky ◽  
Shichun Hu
Keyword(s):  
Supply Chains ◽  
Cost Allocation ◽  
Allocation Model
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