Revisiting delayed recognition in science: A large-scale and comprehensive study

IF 1.8 4区管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Information Science Pub Date : 2024-05-30 DOI:10.1177/01655515241244462

Alex J Yang, Star X Zhao, Sanhong Deng

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引用次数: 0

Abstract

Delayed recognition, exemplified by the phenomenon of sleeping beauties, presents a compelling narrative within the dynamics of scientific impact and innovation. Our investigation delves into the nuanced facets of delayed acknowledgement, uncovering its profound implications and innovation pathways. Through the analysis of extensive datasets and advanced methodologies, we elucidate the intricate connections between delayed recognition and the realms of scientific and technological influence. Our study not only reveals correlations between atypical combinations of knowledge and the emergence of sleeping beauties but also sheds light on the relationship between delayed recognition and disruptive paradigm shifts in scientific evolution, suggesting their potential role in shaping scientific breakthroughs. Furthermore, our analysis highlights the journey of delayed recognition, often culminating in significant contributions across diverse fields, including notable achievements, such as Nobel-worthy milestones. This article advances our understanding of scientific evolution and the complex landscape of acknowledging pioneering research.

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重新审视科学中的延迟识别：大规模综合研究

以 "睡美人 "现象为代表的延迟认可，在科学影响和创新的动态过程中展现了一种引人注目的叙事方式。我们的研究深入探讨了延迟认可的细微差别，揭示了其深远影响和创新途径。通过对大量数据集和先进方法的分析，我们阐明了延迟承认与科技影响领域之间错综复杂的联系。我们的研究不仅揭示了非典型知识组合与沉睡美女的出现之间的相关性，还揭示了延迟识别与科学进化中颠覆性范式转变之间的关系，表明它们在塑造科学突破方面的潜在作用。此外，我们的分析还强调了延迟识别的历程，其最终结果往往是在不同领域做出重大贡献，包括取得显著成就，如诺贝尔奖的里程碑。这篇文章加深了我们对科学进化以及承认开创性研究的复杂情况的理解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Information Science 工程技术-计算机：信息系统

CiteScore

6.80

自引率

8.30%

发文量

121

审稿时长

4 months

期刊介绍： The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.