Quantifying scientific collaboration impact by exploiting collaboration-citation network

Bai, Xiaomei; Zhang, Fuli; Li, Jinzhou; Zhao, Xu; Patoli, Zeeshan; Lee, Ivan

doi:10.1007/s11192-021-04078-8

Cited by 11 publications

(3 citation statements)

References 47 publications

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“…Xie et al (2016) found that the presence of network size, network tie-strength, and network centrality determined the level of knowledge transfer performance. Bai et al (2021) indicated that establishing a long-term fixed relationship with someone more competitive was the basis for interdisciplinary innovation activities.…”

Section: Literaturementioning

confidence: 99%

“…Similarly, people with more interdisciplinary collaborators, owing to better support, generally have better innovations and higher quality of innovations than people with fewer interdisciplinary collaborators (Assimakopoulos, 2007; Stark et al, 2020). If people carry on long-term scientific research cooperation with many collaborators at a level higher than themselves, their level of achievements is improved further (Bai et al, 2021; Rafols & Meyer, 2010 ). Through an empirical study, Cho et al (2007) demonstrated that the social network considerably influences the learners’ performance in collaborative learning.…”

Section: Literaturementioning

confidence: 99%

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Multidisciplinary Innovation Adaptability of Campus Spatial Organization: From a Network Perspective

Xia

Guo

et al. 2022

Sage Open

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Campus spatial organization has potential impact on the multidisciplinary innovation (MDI). This research aims to establish an evaluation theory and a method for MDI adaptability of campus spatial organization. Based on the literature review, it first proposes theoretical assumptions regarding the correlation among MDI abilities, social networks, and spatiotemporal behaviors of individuals on campus. Then, data on the three aspects mentioned above was collected through online survey which was conducted from February 4th to March 15th, 2020. A total of 524 valid responses were obtained from 572 undergraduates and graduates of various majors in Zijingang Campus (East) of Zhejiang University. The correlation mechanism of these aspects was empirically analyzed by structural equation model (SEM). By integrating individual data, the research generated three overall networks whose nodes are linked according to spatial proximity, behavior routine, and disciplinary connection, respectively. Furthermore, an evaluation method is proposed for MDI adaptability of the campus spatial organization, which is based on the comparison of the structural similarity of the nodes in different networks. Accordingly, the evaluation results were validated by expert ratings and user satisfaction. Finally, design strategies for the renovation of an innovative campus are discussed.

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Section: Literaturementioning

confidence: 99%

Section: Literaturementioning

confidence: 99%

Multidisciplinary Innovation Adaptability of Campus Spatial Organization: From a Network Perspective

Xia

Guo

et al. 2022

Sage Open

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“…Meanwhile, some of the components that affect the widespread effect of research can be listed as; the journal impact factors, in other words, the journal quartile ranking (Q) (Miranda & Garcia-Carpintero, 2018;Miranda & Garcia-Carpintero, 2019;Orbay, Miranda & Orbay, 2020;Orbay, Karamustafaoğlu & Miranda, 2021), the level of domestic and international collaborations in the articles (Bai et al 2021, Kwiek, 2018, and the percentage of open access articles (Piwowar et al, 2018),etc.…”

Section: Introductionmentioning

confidence: 99%

On the Widespread Impact of the Most Prolific Countries in Special Education Research: A Bibliometric Analysis

Sezgin

Orbay

2022

education

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The aim of this study is to identify the most prolific countries in the field of special education and to discuss the widespread impact of their papers by taking into account the country’s h-index. Through a bibliometric analysis, the data were collected in the Web of ScienceCore Collection category “Education, Special” in the Social Science Citation Index during 2011-2020. The 25 most prolific countries in the field of special education were determined in terms of paper productivity, and it was seen that the leading country was undisputedly the USA (54.42%). Meanwhile, a strong positive correlation was found between the h-index and the number of papers published by the countries (r=0.864). On the other hand, when the ranking in terms of the number of papers was reconfigured by the h-index, it was relatively changed. The possible reasons for this change for the countries with the most changing rankings were discussed by considering some definitive criteria such as the journal quartiles, the percentage of international and domestic, and the percentage of open access papers.This study reports a positive correlation between the quality and quantity in the field of special education for the publications of countries. It has been shown that where the positive correlation deviates, then especially, the journal quartiles, the percentage of international collaboration and the percentage of open access papers have a significant effect. The bibliometric findings may be useful to enrich the discussion about the widespread impact of papers and debate whether the use of h-index is acceptable for cross-national comparisons.

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Dynamic bipartite network model based on structure and preference features

Lv,

Zou,

Zhang

et al. 2024

Knowl Inf Syst

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Quantifying scientific collaboration impact by exploiting collaboration-citation network

Cited by 11 publications

References 47 publications

Multidisciplinary Innovation Adaptability of Campus Spatial Organization: From a Network Perspective

Multidisciplinary Innovation Adaptability of Campus Spatial Organization: From a Network Perspective

On the Widespread Impact of the Most Prolific Countries in Special Education Research: A Bibliometric Analysis

Dynamic bipartite network model based on structure and preference features

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