From consolidation to disruption: A novel way to measure the impact of scientists and identify laureates

Yang, Alex J.; Hu, Haotian; Zhao, Yuehua; Wang, Hao; Deng, Shaogui

doi:10.1016/j.ipm.2023.103420

Information Processing & Management

2023

DOI: 10.1016/j.ipm.2023.103420

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From consolidation to disruption: A novel way to measure the impact of scientists and identify laureates

Alex J. Yang

Haotian Hu

Yuehua Zhao

et al.

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Cited by 14 publications

References 54 publications

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Are disruptive papers more likely to impact technology and society?

Yang,

Yan,

et al. 2024

Asso for Info Science & Tech

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In exploring the intersection of scholarly research with technological advancement and societal impact, our analysis delves into nearly 40 million research papers spanning from 1950 to 2020 across all fields of study in science. Our scrutiny reveals an intriguing phenomenon: papers characterized by a higher CD index, often considered transformative, paradoxically exhibit a diminished propensity to influence technological and societal domains. This observation suggests a latent bias against the CD index, prompting a deeper inquiry into its implications. To unravel this trend, we introduce the concept of “disruptive citation,” a nuanced metric gauging the absolute disruptive impact of papers. Notably, papers drawing higher disruptive citations exhibit a significantly higher probability to influence both technological and societal spheres. Upon examining the heterogeneity across years and fields, we identify a bias against the CD index predominantly in the last two decades and within STEM fields. However, the positive effects of disruptive impact remain consistent across all years and fields. Our findings remain robust even when employing alternative measures of disruptive impact and controlling for total citations. By shedding light on these dynamics, our study seeks to enrich discussions regarding the recognition and role of disruptive scientific endeavors in shaping our world.

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Are disruptive papers more likely to impact technology and society?

Yang,

Yan,

et al. 2024

Asso for Info Science & Tech

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What do we know about the disruption index in scientometrics? An overview of the literature

Leibel,

Bornmann

2023

Scientometrics

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The purpose of this paper is to provide a review of the literature on the original disruption index (DI1) and its variants in scientometrics. The DI1 has received much media attention and prompted a public debate about science policy implications, since a study published in Nature found that papers in all disciplines and patents are becoming less disruptive over time. This review explains in the first part the DI1 and its variants in detail by examining their technical and theoretical properties. The remaining parts of the review are devoted to studies that examine the validity and the limitations of the indices. Particular focus is placed on (1) possible biases that affect disruption indices (2) the convergent and predictive validity of disruption scores, and (3) the comparative performance of the DI1 and its variants. The review shows that, while the literature on convergent validity is not entirely conclusive, it is clear that some modified index variants, in particular DI5, show higher degrees of convergent validity than DI1. The literature draws attention to the fact that (some) disruption indices suffer from inconsistency, time-sensitive biases, and several data-induced biases. The limitations of disruption indices are highlighted and best practice guidelines are provided. The review encourages users of the index to inform about the variety of DI1 variants and to apply the most appropriate variant. More research on the validity of disruption scores as well as a more precise understanding of disruption as a theoretical construct is needed before the indices can be used in the research evaluation practice.

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Rescaling the disruption index reveals the universality of disruption distributions in science

Yang,

Gong,

Wang

et al. 2023

Scientometrics

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scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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From consolidation to disruption: A novel way to measure the impact of scientists and identify laureates

Cited by 14 publications

References 54 publications

Are disruptive papers more likely to impact technology and society?

Are disruptive papers more likely to impact technology and society?

What do we know about the disruption index in scientometrics? An overview of the literature

Rescaling the disruption index reveals the universality of disruption distributions in science

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