Mapping The Research Collaboration Between India And USA During 2007–2016

Author(s):  
Neeraj Kumar Chaurasia ◽  
Shankar B. Chavan ◽  
Sanjay Kataria
2004 ◽  
Author(s):  
Shane Jimerson ◽  
Amanda VanDerHeyden ◽  
Jessica Blom-Hoffman ◽  
Matt Burns ◽  
Dan Reschly

Mousaion ◽  
2017 ◽  
Vol 34 (3) ◽  
pp. 36-59 ◽  
Author(s):  
Jan R. Maluleka ◽  
Omwoyo B. Onyancha

This study sought to assess the extent of research collaboration in Library and Information Science (LIS) schools in South Africa between 1991 and 2012. Informetric research techniques were used to obtain relevant data for the study. The data was extracted from two EBSCO-hosted databases, namely, Library and Information Science Source (LISS) and Library, Information Science and Technology Abstracts (LISTA). The search was limited to scholarly peer reviewed articles published between 1991 and 2012. The data was analysed using Microsoft Excel ©2010 and UCINET for Windows ©2002 software packages. The findings revealed that research collaboration in LIS schools in South Africa has increased over the past two decades and mainly occurred between colleagues from the same department and institution; there were also collaborative activities at other levels, such as inter-institutional and inter-country, although to a limited extent; differences were noticeable when ranking authors according to different computations of their collaborative contributions; and educator-practitioner collaboration was rare. Several conclusions and recommendations based on the findings are offered in the article.


1995 ◽  
Vol 24 (2) ◽  
pp. 155-160 ◽  
Author(s):  
John Ryan ◽  
Luis A. Materon ◽  
Scott Christiansen

Impact ◽  
2019 ◽  
Vol 2019 (6) ◽  
pp. 4-5
Author(s):  
Beverley Damonse

2017 ◽  
Author(s):  
Alton C. Dooley ◽  
◽  
Kathlyn M. Smith ◽  
Brittney Stoneburg ◽  
Darla Radford ◽  
...  

2020 ◽  
Vol 12 (17) ◽  
pp. 6846
Author(s):  
Jinyuan Ma ◽  
Fan Jiang ◽  
Liujian Gu ◽  
Xiang Zheng ◽  
Xiao Lin ◽  
...  

This study analyzes the patterns of university co-authorship networks in the Guangdong-Hong Kong-Macau Greater Bay Area. It also examines the quality and subject distribution of co-authored articles within these networks. Social network analysis is used to outline the structure and evolution of the networks that have produced co-authored articles at universities in the Greater Bay Area from 2014 to 2018, at both regional and institutional levels. Field-weighted citation impact (FWCI) is used to analyze the quality and citation impact of co-authored articles in different subject fields. The findings of the study reveal that university co-authorship networks in the Greater Bay Area are still dispersed, and their disciplinary development is unbalanced. The study also finds that, while the research areas covered by high-quality co-authored articles fit the strategic needs of technological innovation and industrial distribution in the Greater Bay Area, high-quality research collaboration in the humanities and social sciences is insufficient.


2020 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Tino Herden

Purpose: Analytics research is increasingly divided by the domains Analytics is applied to. Literature offers little understanding whether aspects such as success factors, barriers and management of Analytics must be investigated domain-specific, while the execution of Analytics initiatives is similar across domains and similar issues occur. This article investigates characteristics of the execution of Analytics initiatives that are distinct in domains and can guide future research collaboration and focus. The research was conducted on the example of Logistics and Supply Chain Management and the respective domain-specific Analytics subfield of Supply Chain Analytics. The field of Logistics and Supply Chain Management has been recognized as early adopter of Analytics but has retracted to a midfield position comparing different domains.Design/methodology/approach: This research uses Grounded Theory based on 12 semi-structured Interviews creating a map of domain characteristics based of the paradigm scheme of Strauss and Corbin.Findings: A total of 34 characteristics of Analytics initiatives that distinguish domains in the execution of initiatives were identified, which are mapped and explained. As a blueprint for further research, the domain-specifics of Logistics and Supply Chain Management are presented and discussed.Originality/value: The results of this research stimulates cross domain research on Analytics issues and prompt research on the identified characteristics with broader understanding of the impact on Analytics initiatives. The also describe the status-quo of Analytics. Further, results help managers control the environment of initiatives and design more successful initiatives.


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