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Recently, Wu, Wang, and Evans (2019) and Bu, Waltman, and Huang (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field or tradition of research. Such disruptive influences are…

Digital Libraries · Computer Science 2021-01-05 Lutz Bornmann , Sitaram Devarakonda , Alexander Tekles , George Chacko

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…

Digital Libraries · Computer Science 2023-11-21 Christian Leibel , Lutz Bornmann

Following Funk and Owen-Smith (2017), Wu et al. (2019) proposed the disruption index (DI1) as a bibliometric indicator that measures disruptive and consolidating research. When we summarized the literature on the disruption index for our…

Digital Libraries · Computer Science 2024-11-14 Christian Leibel , Lutz Bornmann

Wu et al. (2019) proposed the disruption index (DI1) as a bibliometric indicator that measures disruptive and consolidating research. Leibel and Bornmann (2024) recently published a literature overview on the disruption index research in…

Digital Libraries · Computer Science 2024-03-27 Christian Leibel , Lutz Bornmann

It is important to measure the disruption of academic papers. According to the characteristics of three different kinds of citations, this paper borrows musical vocabulary and names them solo citations (SC), duet citations (DC), and prelude…

Digital Libraries · Computer Science 2019-05-13 Qiang Wu , Zhaoyang Yan

Evaluating the disruptive nature of academic ideas is a new area of research evaluation that moves beyond standard citation-based metrics by taking into account the broader citation context of publications or patents. The "$CD$ index" and a…

Digital Libraries · Computer Science 2023-09-13 Michele Pasin , Joerg Sixt

Progress in science and technology is punctuated by disruptive innovation and breakthroughs. Researchers have characterized these disruptions to explore the factors that spark such innovations and to assess their long-term trends. However,…

Social and Information Networks · Computer Science 2025-02-25 Munjung Kim , Sadamori Kojaku , Yong-Yeol Ahn

In the last two decades, scholars have designed various types of bibliographic related indicators to identify breakthrough-class academic achievements. In this study, we take a further step to look at properties of the promising disruptive…

Digital Libraries · Computer Science 2020-09-16 Guoqiang Liang , Yi Jiang , Haiyan Hou

This study introduces the Disruption Index as a superior citation-based metric. This index quantitatively assesses the degree to which a publication redirects subsequent scholarly attention away from its preceding literature, thus measuring…

Digital Libraries · Computer Science 2025-12-09 Sarah James

Initially developed to capture technical innovation and later adapted to identify scientific breakthroughs, the Disruption Index (D-index) offers the first quantitative framework for analyzing transformative research. Despite its promise,…

Digital Libraries · Computer Science 2025-04-08 Yiling Lin , Linzhuo Li , Lingfei Wu

In an interlaboratory key comparison, a data analysis procedure for this comparison was proposed and recommended by CIPM [1, 2, 3], therein the degrees of equivalence of measurement standards of the laboratories participated in the…

Other Statistics · Statistics 2011-12-14 Thang H. Le , Nguyen D. Do

Recent research on the decline in the paper disruption index (D-index) has sparked heated debates among scholars and garnered significant attention from policymakers and research institution leaders globally. To bridge the gap between…

Digital Libraries · Computer Science 2024-10-11 Linzhuo Li , Yiling Lin , Lingfei Wu

The temporal dimension of citation accumulation poses fundamental challenges for quantitative research evaluations, particularly in assessing disruptive and consolidating research through the disruption index (D). While prior studies…

Digital Libraries · Computer Science 2026-04-21 Hongkan Chen , Lutz Bornmann , Yi Bu

The CD index is a widely used measure of disruptive inventions. Most studies compute it using USPTO data. This creates a puzzle because the US appears less disruptive than European and Asian countries. We show that this largely stems from…

Econometrics · Economics 2026-03-19 Christian Rutzer , Dragan Filimonovic , Jeffrey T. Macher , Rolf Weder

The article is devoted to the problem of inconsistency in the pairwise comparisons based prioritization methodology. The issue of "inconsistency" in this context has gained much attention in recent years. The literature provides us with a…

Artificial Intelligence · Computer Science 2015-10-22 Andrzej Z. Grzybowski

Questions of definition and measurement continue to constrain a consensus on the measurement of interdisciplinarity. Using Rao-Stirling (RS) Diversity produces sometimes anomalous results. We argue that these unexpected outcomes can be…

Digital Libraries · Computer Science 2018-08-30 Loet Leydesdorff , Caroline S. Wagner , Lutz Bornmann

The impact and originality are two critical dimensions for evaluating scientific publications, measured by citation and disruption metrics respectively. Despite the extensive effort made to understand the statistical properties and…

Digital Libraries · Computer Science 2023-05-08 An Zeng , Ying Fan , Zengru Di , Yougui Wang , Shlomo Havlin

A recent highly-publicized study by Park et al. (Nature 613: 138-144, 2023), claiming that science has become less disruptive over recent decades, represents an extraordinary achievement but with deceptive results. The measure of…

Metrics based on percentile ranks (PRs) for measuring scholarly impact involves complex treatment because of various defects such as overvaluing or devaluing an object caused by percentile ranking schemes, ignoring precise citation…

Digital Libraries · Computer Science 2012-05-14 Ping Zhou , Yongfeng Zhong

This paper shows that further evaluation metrics during model training are needed to decide about its applicability in inference. As an example, a LayoutLM-based model is trained for token classification in documents. The documents are…

Computer Vision and Pattern Recognition · Computer Science 2025-04-03 Anket Mehra , Malte Prieß , Marian Himstedt
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