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Sleeping beauties in genius work: When were they awakened?

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  • Jiang Li
  • Dongbo Shi

Abstract

type="main"> “Genius work,” proposed by Avramescu, refers to scientific articles whose citations grow exponentially in an extended period, for example, over 50 years. Such articles were defined as “sleeping beauties” by van Raan, who quantitatively studied the phenomenon of delayed recognition. However, the criteria adopted by van Raan at times are not applicable and may confer recognition prematurely. To revise such deficiencies, this paper proposes two new criteria, which are applicable (but not limited) to exponential citation curves. We searched for genius work among articles of Nobel Prize laureates during the period of 1901–2012 on the Web of Science, finding 25 articles of genius work out of 21,438 papers including 10 (by van Raan's criteria) sleeping beauties and 15 nonsleeping-beauties. By our new criteria, two findings were obtained through empirical analysis: (a) the awakening periods for genius work depend on the increase rate b in the exponential function, and (b) lower b leads to a longer sleeping period.

Suggested Citation

  • Jiang Li & Dongbo Shi, 2016. "Sleeping beauties in genius work: When were they awakened?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(2), pages 432-440, February.
    • Handle: RePEc:bla:jinfst:v:67:y:2016:i:2:p:432-440
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    Cited by:

    1. Miura, Takahiro & Asatani, Kimitaka & Sakata, Ichiro, 2023. "Revisiting the uniformity and inconsistency of slow-cited papers in science," Journal of Informetrics, Elsevier, vol. 17(1).
    2. Min, Chao & Sun, Jianjun & Pei, Lei & Ding, Ying, 2016. "Measuring delayed recognition for papers: Uneven weighted summation and total citations," Journal of Informetrics, Elsevier, vol. 10(4), pages 1153-1165.
    3. Aurora A. C. Teixeira & Pedro Cosme Vieira & Ana Patrícia Abreu, 2017. "Sleeping Beauties and their princes in innovation studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 541-580, February.
    4. Onodera, Natsuo, 2016. "Properties of an index of citation durability of an article," Journal of Informetrics, Elsevier, vol. 10(4), pages 981-1004.
    5. Jiang Li & Fred Y. Ye, 2016. "Distinguishing sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 821-828, August.
    6. Yang, Jinqing & Bu, Yi & Lu, Wei & Huang, Yong & Hu, Jiming & Huang, Shengzhi & Zhang, Li, 2022. "Identifying keyword sleeping beauties: A perspective on the knowledge diffusion process," Journal of Informetrics, Elsevier, vol. 16(1).
    7. Lutz Bornmann & Adam Y. Ye & Fred Y. Ye, 2018. "Identifying “hot papers” and papers with “delayed recognition” in large-scale datasets by using dynamically normalized citation impact scores," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 655-674, August.
    8. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    9. Meijun Liu & Dongbo Shi & Jiang Li, 2017. "Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
    10. Chakraborty, Joyita & Pradhan, Dinesh K. & Nandi, Subrata, 2024. "A multiple k-means cluster ensemble framework for clustering citation trajectories," Journal of Informetrics, Elsevier, vol. 18(2).
    11. ZhangJian Zong & XuanZhen Liu & Hui Fang, 2018. "Sleeping beauties with no prince based on the co-citation criterion," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1841-1852, December.
    12. Anthony F. J. van Raan, 2021. "Sleeping beauties gain impact in overdrive mode," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4311-4332, May.
    13. Jianhua Hou & Xiucai Yang, 2019. "Patent sleeping beauties: evolutionary trajectories and identification methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 187-215, July.
    14. Helena H. Zhang & Fred Y. Ye, 2020. "Identifying ‘associated-sleeping-beauties’ in ‘swan-groups’ based on small qualified datasets of physics and economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1525-1537, March.
    15. Hui Fang, 2019. "A transition stage co-citation criterion for identifying the awakeners of sleeping beauty publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 307-322, October.
    16. Hui Fang, 2018. "Analysing the variation tendencies of the numbers of yearly citations for sleeping beauties in science by using derivative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1051-1070, May.
    17. Yang, Yu-Hsiang & Chiang, Yao-Min & Lin, Hung-Lung, 2024. "Sleeping beauties in finance," Research in International Business and Finance, Elsevier, vol. 70(PB).
    18. Keye Wu & Ziyue Xie & Jia Tina Du, 2024. "Does science disrupt technology? Examining science intensity, novelty, and recency through patent-paper citations in the pharmaceutical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5469-5491, September.
    19. Zeng, Carl J. & Qi, Eric P. & Li, Simon S. & Stanley, H. Eugene & Ye, Fred Y., 2017. "Statistical characteristics of breakthrough discoveries in science using the metaphor of black and white swans," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 487(C), pages 40-46.
    20. Chen, Jiyao & Shao, Diana & Fan, Shaokun, 2021. "Destabilization and consolidation: Conceptualizing, measuring, and validating the dual characteristics of technology," Research Policy, Elsevier, vol. 50(1).
    21. Sepideh Fahimifar & Elmira Janavi & Fatemeh Fadaei, 2024. "Awakening the beauty: a journey through dormant gems in strategic management literature," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(4), pages 3331-3362, August.
    22. Liang, Guoqiang & Hou, Haiyan & Ding, Ying & Hu, Zhigang, 2020. "Knowledge recency to the birth of Nobel Prize-winning articles: Gender, career stage, and country," Journal of Informetrics, Elsevier, vol. 14(3).

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