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Sleeping Beauties in science

Citations

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Cited by:

  1. Wang, Jian, 2016. "Knowledge creation in collaboration networks: Effects of tie configuration," Research Policy, Elsevier, vol. 45(1), pages 68-80.
  2. Costas, Rodrigo & van Leeuwen, Thed N. & van Raan, Anthony F.J., 2013. "Effects of the durability of scientific literature at the group level: Case study of chemistry research groups in the Netherlands," Research Policy, Elsevier, vol. 42(4), pages 886-894.
  3. Kehan Wang & Wenxuan Shi & Junsong Bai & Xiaoping Zhao & Liying Zhang, 2021. "Prediction and application of article potential citations based on nonlinear citation-forecasting combined model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6533-6550, August.
  4. Wang, Jian & Veugelers, Reinhilde & Stephan, Paula, 2017. "Bias against novelty in science: A cautionary tale for users of bibliometric indicators," Research Policy, Elsevier, vol. 46(8), pages 1416-1436.
  5. James Hartley & Yuh-Shan Ho, 2017. "Who woke the sleeping beauties in psychology?," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1065-1068, August.
  6. Ronaldo Ferreira Araujo, 2020. "Communities of attention networks: introducing qualitative and conversational perspectives for altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1793-1809, September.
  7. Jian Wang & Bart Thijs & Wolfgang Glänzel, 2015. "Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-18, May.
  8. Donya Rahmani, 2019. "Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions," Annals of Operations Research, Springer, vol. 283(1), pages 613-641, December.
  9. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
  10. 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.
  11. Jian Wang, 2013. "Citation time window choice for research impact evaluation," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 851-872, March.
  12. Wang, Jian & Hicks, Diana, 2015. "Scientific teams: Self-assembly, fluidness, and interdependence," Journal of Informetrics, Elsevier, vol. 9(1), pages 197-207.
  13. Yuh-Shan Ho & James Hartley, 2017. "Highly cited publications in World War II: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1065-1075, February.
  14. Glänzel, Wolfgang, 2007. "Characteristic scores and scales," Journal of Informetrics, Elsevier, vol. 1(1), pages 92-102.
  15. Qiang Wu & Dietmar Wolfram, 2011. "The influence of effects and phenomena on citations: a comparative analysis of four citation perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 245-258, October.
  16. Jonathan M. Levitt & Mike Thelwall, 2009. "The most highly cited Library and Information Science articles: Interdisciplinarity, first authors and citation patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(1), pages 45-67, January.
  17. Peter Kokol & Helena Blažun Vošner & Jernej Završnik, 2020. "Do simultaneous inventions sleep? A case study on nursing sleeping papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2827-2832, December.
  18. Sabatier, Mareva & Chollet, Barthélemy, 2017. "Is there a first mover advantage in science? Pioneering behavior and scientific production in nanotechnology," Research Policy, Elsevier, vol. 46(2), pages 522-533.
  19. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182.
  20. Björn Hammarfelt, 2011. "Interdisciplinarity and the intellectual base of literature studies: citation analysis of highly cited monographs," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(3), pages 705-725, March.
  21. Colavizza, Giovanni & Franceschet, Massimo, 2016. "Clustering citation histories in the Physical Review," Journal of Informetrics, Elsevier, vol. 10(4), pages 1037-1051.
  22. Kosmulski, Marek, 2009. "New seniority-independent Hirsch-type index," Journal of Informetrics, Elsevier, vol. 3(4), pages 341-347.
  23. Milad Haghani & Pegah Varamini, 2021. "Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7005-7050, August.
  24. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
  25. Yi Zhang & Xiaojing Cai & Caroline V. Fry & Mengjia Wu & Caroline S. Wagner, 2021. "Topic evolution, disruption and resilience in early COVID-19 research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4225-4253, May.
  26. Wolfgang Glänzel & Bart Thijs & Pei-Shan Chi, 2016. "The challenges to expand bibliometric studies from periodical literature to monographic literature with a new data source: the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2165-2179, December.
  27. Sotaro Shibayama & Jian Wang, 2020. "Measuring originality in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 409-427, January.
  28. Xiaojun Hu & Ronald Rousseau, 2017. "Nobel Prize winners 2016: Igniting or sparking foundational publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1053-1063, February.
  29. Jian Du & Yishan Wu, 2018. "A parameter-free index for identifying under-cited sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 959-971, August.
  30. J. J. Winnink & Robert J. W. Tijssen, 2015. "Early stage identification of breakthroughs at the interface of science and technology: lessons drawn from a landmark publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 113-134, January.
  31. Liang, Liming & Zhong, Zhen & Rousseau, Ronald, 2015. "Uncited papers, uncited authors and uncited topics: A case study in library and information science," Journal of Informetrics, Elsevier, vol. 9(1), pages 50-58.
  32. Zhang, Ruizhi & Wang, Jian & Mei, Yajun, 2017. "Search for evergreens in science: A functional data analysis," Journal of Informetrics, Elsevier, vol. 11(3), pages 629-644.
  33. Cristina López-Duarte & Marta M. Vidal-Suárez & Belén González-Díaz, 2019. "Cross-national distance and international business: an analysis of the most influential recent models," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 173-208, October.
  34. Stegehuis, Clara & Litvak, Nelly & Waltman, Ludo, 2015. "Predicting the long-term citation impact of recent publications," Journal of Informetrics, Elsevier, vol. 9(3), pages 642-657.
  35. Lachance, Christian & Larivière, Vincent, 2014. "On the citation lifecycle of papers with delayed recognition," Journal of Informetrics, Elsevier, vol. 8(4), pages 863-872.
  36. Andrea Fronzetti Colladon & Ciriaco Andrea D’Angelo & Peter A. Gloor, 2020. "Predicting the future success of scientific publications through social network and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 357-377, July.
  37. Jonathan M. Levitt & Mike Thelwall, 2008. "Patterns of annual citation of highly cited articles and the prediction of their citation ranking: A comparison across subjects," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(1), pages 41-60, October.
  38. David Guy Brizan & Kevin Gallagher & Arnab Jahangir & Theodore Brown, 2016. "Predicting citation patterns: defining and determining influence," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 183-200, July.
  39. Breen, Benjamin & Kelley, Hugh & Hynes, Stepehen, 2015. "The species targeting responses of fishers to single species quota changes in a multispecies fishery," Working Papers 262589, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
  40. Jianjun Sun & Chao Min & Jiang Li, 2016. "A vector for measuring obsolescence of scientific articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 745-757, May.
  41. Mund, Carolin & Neuhäusler, Peter, 2015. "Towards an early-stage identification of emerging topics in science—The usability of bibliometric characteristics," Journal of Informetrics, Elsevier, vol. 9(4), pages 1018-1033.
  42. Guoqiang Liang & Haiyan Hou & Xiaodan Lou & Zhigang Hu, 2019. "Qualifying threshold of “take-off” stage for successfully disseminated creative ideas," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1193-1208, September.
  43. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The citation triad: An overview of a scientist's publication output based on Ferrers diagrams," Journal of Informetrics, Elsevier, vol. 4(4), pages 503-511.
  44. Chai, Sen & Menon, Anoop, 2019. "Breakthrough recognition: Bias against novelty and competition for attention," Research Policy, Elsevier, vol. 48(3), pages 733-747.
  45. Thelwall, Mike & Nevill, Tamara, 2018. "Could scientists use Altmetric.com scores to predict longer term citation counts?," Journal of Informetrics, Elsevier, vol. 12(1), pages 237-248.
  46. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "An impact indicator for researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 607-629, November.
  47. Jan Youtie, 2014. "The use of citation speed to understand the effects of a multi-institutional science center," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 613-621, September.
  48. Philippe Gorry & Pascal Ragouet, 2016. "“Sleeping beauty” and her restless sleep: Charles Dotter and the birth of interventional radiology," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 773-784, May.
  49. András Schubert & Wolfgang Glänzel & Gábor Schubert, 2022. "Eponyms in science: famed or framed?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1199-1207, March.
  50. Li, Jiang & Shi, Dongbo & Zhao, Star X. & Ye, Fred Y., 2014. "A study of the “heartbeat spectra” for “sleeping beauties”," Journal of Informetrics, Elsevier, vol. 8(3), pages 493-502.
  51. Yuh-Shan Ho & James Hartley, 2017. "Sleeping beauties in psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 301-305, January.
  52. Leo Egghe, 2007. "Probabilities for encountering genius, basic, ordinary or insignificant papers based on the cumulative nth citation distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 167-181, January.
  53. Guillaume Cabanac, 2018. "What is the primordial reference for ...?—Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 481-488, February.
  54. Katherine W. McCain, 2014. "Assessing obliteration by incorporation in a full-text database: JSTOR, Economics, and the concept of “bounded rationality”," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1445-1459, November.
  55. Soo Jeung Lee & Christian Schneijderberg & Yangson Kim & Isabel Steinhardt, 2021. "Have Academics’ Citation Patterns Changed in Response to the Rise of World University Rankings? A Test Using First-Citation Speeds," Sustainability, MDPI, vol. 13(17), pages 1-19, August.
  56. Tóth, István & Lázár, Zsolt I. & Varga, Levente & Járai-Szabó, Ferenc & Papp, István & Florian, Răzvan V. & Ercsey-Ravasz, Mária, 2021. "Mitigating ageing bias in article level metrics using citation network analysis," Journal of Informetrics, Elsevier, vol. 15(1).
  57. Du, Jian & Li, Peixin & Haunschild, Robin & Sun, Yinan & Tang, Xiaoli, 2020. "Paper-patent citation linkages as early signs for predicting delayed recognized knowledge: Macro and micro evidence," Journal of Informetrics, Elsevier, vol. 14(2).
  58. Wen-Yau Cathy Lin, 2021. "Effects of open access and articles-in-press mechanisms on publishing lag and first-citation speed: a case on energy and fuels journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4841-4869, June.
  59. Ratnadeep Dey & Anurag Roy & Tanmoy Chakraborty & Saptarshi Ghosh, 2017. "Sleeping beauties in Computer Science: characterization and early identification," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1645-1663, December.
  60. 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.
  61. Mark Bukowski & Sandra Geisler & Thomas Schmitz-Rode & Robert Farkas, 2020. "Feasibility of activity-based expert profiling using text mining of scientific publications and patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 579-620, May.
  62. Hou, Jianhua & Yang, Xiucai, 2020. "Social media-based sleeping beauties: Defining, identifying and features," Journal of Informetrics, Elsevier, vol. 14(2).
  63. J Mingers, 2008. "Exploring the dynamics of journal citations: Modelling with s-curves," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1013-1025, August.
  64. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
  65. 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.
  66. You Song & Fangling Situ & Hongjun Zhu & Jinzhi Lei, 2018. "To be the Prince to wake up Sleeping Beauty: the rediscovery of the delayed recognition studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 9-24, October.
  67. Andrea Polonioli, 2021. "The ethics of scientific recommender systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1841-1848, February.
  68. Rodrigo Costas & Thed N. Leeuwen & Anthony F. J. Raan, 2011. "The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 177-205, October.
  69. Jianhua Hou & Bili Zheng & Yang Zhang & Chaomei Chen, 2021. "How do Price medalists’ scholarly impact change before and after their awards?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5945-5981, July.
  70. Craig Aaen-Stockdale, 2017. "Selfish Memes: An Update of Richard Dawkins’ Bibliometric Analysis of Key Papers in Sociobiology," Publications, MDPI, vol. 5(2), pages 1-9, May.
  71. Wagner, Caroline S. & Whetsell, Travis A. & Mukherjee, Satyam, 2019. "International research collaboration: Novelty, conventionality, and atypicality in knowledge recombination," Research Policy, Elsevier, vol. 48(5), pages 1260-1270.
  72. Roth, Camille & Wu, Jiang & Lozano, Sergi, 2012. "Assessing impact and quality from local dynamics of citation networks," Journal of Informetrics, Elsevier, vol. 6(1), pages 111-120.
  73. Jianhua Hou & Xiucai Yang, 2019. "Patent sleeping beauties: evolutionary trajectories and identification methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 187-215, July.
  74. Thomas Heinze, 2013. "Creative accomplishments in science: definition, theoretical considerations, examples from science history, and bibliometric findings," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 927-940, June.
  75. 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.
  76. 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.
  77. Thomas R. Anderson & Robin K. S. Hankin & Peter D. Killworth, 2008. "Beyond the Durfee square: Enhancing the h-index to score total publication output," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 577-588, September.
  78. Jiang Li, 2014. "Citation curves of “all-elements-sleeping-beauties”: “flash in the pan” first and then “delayed recognition”," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 595-601, August.
  79. Benda, Wim G.G. & Engels, Tim C.E., 2011. "The predictive validity of peer review: A selective review of the judgmental forecasting qualities of peers, and implications for innovation in science," International Journal of Forecasting, Elsevier, vol. 27(1), pages 166-182, January.
  80. Franceschet, Massimo & Costantini, Antonio, 2011. "The first Italian research assessment exercise: A bibliometric perspective," Journal of Informetrics, Elsevier, vol. 5(2), pages 275-291.
  81. 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.
  82. Jiang Li & Fred Y. Ye, 2016. "Distinguishing sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 821-828, August.
  83. Norio Ohba & Kumiko Nakao, 2012. "Sleeping beauties in ophthalmology," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(2), pages 253-264, November.
  84. Hu, Zewen & Wu, Yishan, 2014. "Regularity in the time-dependent distribution of the percentage of never-cited papers: An empirical pilot study based on the six journals," Journal of Informetrics, Elsevier, vol. 8(1), pages 136-146.
  85. Winnink, J.J. & Tijssen, Robert J.W. & van Raan, A.F.J., 2019. "Searching for new breakthroughs in science: How effective are computerised detection algorithms?," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 673-686.
  86. Jiang Li & Fred Y. Ye, 2012. "The phenomenon of all-elements-sleeping-beauties in scientific literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 795-799, September.
  87. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
  88. Wan Jing Low & Paul Wilson & Mike Thelwall, 2016. "Stopped sum models and proposed variants for citation data," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 369-384, May.
  89. Yin, Yian & Wang, Dashun, 2017. "The time dimension of science: Connecting the past to the future," Journal of Informetrics, Elsevier, vol. 11(2), pages 608-621.
  90. Peter Kokol & Jernej Završnik & Helena Blažun Vošner, 2020. "Did Sleeping Papers in nursing research miss their target audience?," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1243-1248, February.
  91. Giovanni Abramo & Ciriaco Andrea D’Angelo & Emanuela Reale, 2019. "Peer review versus bibliometrics: Which method better predicts the scholarly impact of publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 537-554, October.
  92. Onodera, Natsuo, 2016. "Properties of an index of citation durability of an article," Journal of Informetrics, Elsevier, vol. 10(4), pages 981-1004.
  93. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
  94. Zhiya Zuo & Kang Zhao, 2021. "Understanding and predicting future research impact at different career stages—A social network perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 454-472, April.
  95. Leihan Zhang & Ke Xu & Jichang Zhao, 2017. "Sleeping beauties in meme diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 383-402, July.
  96. Zheng Ma & Yuntao Pan & Zhenglu Yu & Jingting Wang & Jia Jia & Yishan Wu, 2013. "A quantitative study on the effectiveness of peer review for academic journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 1-13, April.
  97. Quentin L. Burrell, 2012. "Alternative thoughts on uncitedness," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(7), pages 1466-1470, July.
  98. Helena H. Zhang & Alesia A. Zuccala & Fred Y. Ye, 2019. "Tracing the ‘swan groups’ of physics and economics in the key publications of nobel laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 425-436, April.
  99. Werner Marx & Robin Haunschild & Bernie French & Lutz Bornmann, 2017. "Slow reception and under-citedness in climate change research: A case study of Charles David Keeling, discoverer of the risk of global warming," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1079-1092, August.
  100. Hamid Bouabid, 2011. "Revisiting citation aging: a model for citation distribution and life-cycle prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 199-211, July.
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