The scaling relationship between citation‐based performance and coauthorship patterns in natural sciences

Ronda-Pupo, Guillermo Armando; Katz, J. Sylvan

doi:10.1002/asi.23759

Cited by 24 publications

(21 citation statements)

References 42 publications

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“…Appendix A presents the details of our search strategies for IRC publications. We follow Ronda-Pupo and Katz (2017) to retrieve the documents by considering all peer-reviewed types, including Article, Note, Proceedings Papers and Review 6 . The time span of data was set to span from the year 1957 to 2015.…”

Section: Data Retrievalmentioning

confidence: 99%

“…Clauset et al (2009) developed a robust method for determining whether citation distribution demonstrates fractal feature in collaborative networks. Ronda-Pupo and Katz (2016Katz ( , 2017 revealed the scale-invariant nature of research collaboration.…”

Section: Investigating Inherent Properties Of Irc Collaboration Networkmentioning

confidence: 99%

“…In fact, the research frame and methodology used in the studies of complex innovation networks, such as Ronda-Pupo and Katz (2016Katz ( , 2017 and Archambault (2011), can present a valuable perspective for exploring the inherent properties of IRC collaboration networks, including the scale-invariant, fractal features and other characteristics. These interesting issues should be addressed in future studies because such endeavor will facilitate our better understanding of the scale-invariant nature and fractal features of IRC networks.…”

Section: Investigating Inherent Properties Of Irc Collaboration Networkmentioning

confidence: 99%

“…When we were unsure, the full publication were downloaded and examined. Finally, we follow Ronda-Pupo and Katz (2017) to select 1490 publications, including the peer-reviewed document types of Article, Note, Proceedings Paper and Review, to build the final database of this study.…”

Section: Appendix a Definition Of Search Queries For Ssci Publicatiomentioning

confidence: 99%

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International research collaboration: An emerging domain of innovation studies?

2019

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International research collaboration (IRC) has been increasingly important as an emerging area of innovation studies. This study reviews the intellectual base, main research trajectories and intellectual communities of the IRC research domain over the period 1957-2015. It integrates qualitative review and three quantitative analyses including co-citation network analysis, main path analysis and bibliographic coupling analysis. The results show that the IRC research has gone through three phases, namely, "emergence" (1957-1991), "fermentation" (1992-2005) and "take-off" (2006-2015) phases. The co-citation network analysis confirms that the IRC research field has been developed under the influence of two pioneering studies related to bibliometrics research. The main research trajectories in IRC studies over its three development phases and over the whole period are identified based on the main path analysis, which shows that co-authorship analysis is the main research method in IRC studies. A bibliographic coupling analysis suggests that the whole IRC research domain can be classified into five distinct intellectual areas: drivers of IRC, IRC patterns, IRC effects, IRC networks and IRC measurement. Seven topics for future research are also identified.

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Section: Data Retrievalmentioning

confidence: 99%

Section: Investigating Inherent Properties Of Irc Collaboration Networkmentioning

confidence: 99%

Section: Investigating Inherent Properties Of Irc Collaboration Networkmentioning

confidence: 99%

Section: Appendix a Definition Of Search Queries For Ssci Publicatiomentioning

confidence: 99%

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International research collaboration: An emerging domain of innovation studies?

2019

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“…Recently scaling correlations were used to illustrate that research collaboration increases the impact of peer-reviewed papers beyond those of single-authored papers [94,95]. The scaling correlation between impact and numbers of collaborative papers in 173 Management journals was 1.89±0.08 whereas for single-author papers it was 1.35±0.08.…”

Section: Scaling Correlationsmentioning

confidence: 99%

What is a Complex Innovation System?

Katz

2015

SSRN Journal

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Innovation systems are sometimes referred to as complex systems, something that is intuitively understood but poorly defined. A complex system dynamically evolves in non-linear ways giving it unique properties that distinguish it from other systems. In particular, a common signature of complex systems is scale-invariant emergent properties. A scale-invariant property can be identified because it is solely described by a power law function, f(x) = kx α , where the exponent, α, is a measure of scale-invariance. The focus of this paper is to describe and illustrate that innovation systems have properties of a complex adaptive system. In particular scale-invariant emergent properties indicative of their complex nature that can be quantified and used to inform public policy. The global research system is an example of an innovation system. Peer-reviewed publications containing knowledge are a characteristic output. Citations or references to these articles are an indirect measure of the impact the knowledge has on the research community. Peer-reviewed papers indexed in Scopus and in the Web of Science were used as data sources to produce measures of sizes and impact. These measures are used to illustrate how scale-invariant properties can be identified and quantified. It is demonstrated that the distribution of impact has a reasonable likelihood of being scale-invariant with scaling exponents that tended toward a value of less than 3.0 with the passage of time and decreasing group sizes. Scale-invariant correlations are shown between the evolution of impact and size with time and between field impact and sizes at points in time. The recursive or self-similar nature of scale-invariance suggests that any smaller innovation system within the global research system is likely to be complex with scale-invariant properties too.

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Measuring Science: Basic Principles and Application of Advanced Bibliometrics

Raan

2019

Springer Handbooks

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The scaling relationship between citation‐based performance and coauthorship patterns in natural sciences

Cited by 24 publications

References 42 publications

International research collaboration: An emerging domain of innovation studies?

International research collaboration: An emerging domain of innovation studies?

What is a Complex Innovation System?

Measuring Science: Basic Principles and Application of Advanced Bibliometrics

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