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  1. Leydesdorff, L.; Bornmann, L.; Mingers, J.: Statistical significance and effect sizes of differences among research universities at the level of nations and worldwide based on the Leiden rankings (2019) 4.44 
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  2. Rousseau, R.; Egghe, L.; Guns, R.: Becoming metric-wise : a bibliometric guide for researchers (2018) 4.44 
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  3. Chen, L.; Fang, H.: ¬An automatic method for ex-tracting innovative ideas based on the Scopus® database (2019) 4.44 
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  4. He, J.; Ping, Q.; Lou, W.; Chen, C.: PaperPoles : facilitating adaptive visual exploration of scientific publications by citation links (2019) 4.44 
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  5. Aung, H.H.; Zheng, H.; Erdt, M.; Aw, A.S.; Sin, S.-C.J.; Theng, Y.-L.: Investigating familiarity and usage of traditional metrics and altmetrics (2019) 4.44 
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  6. Shu, F.; Julien, C.-A.; Larivière, V.: Does the Web of Science accurately represent chinese scientific performance? (2019) 4.44 
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  7. Leydesdorff, L.; Wagner, C.S.; Porto-Gomez, I.; Comins, J.A.; Phillips, F.: Synergy in the knowledge base of U.S. innovation systems at national, state, and regional levels : the contributions of high-tech manufacturing and knowledge-intensive services (2019) 4.44 
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  8. Franssen, T.; Wouters, P.: Science and its significant other : representing the humanities in bibliometric scholarship (2019) 4.44 
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  9. Kassian, A.; Melikhova, L.: Russian Science Citation Index on the WoS platform : a critical assessment (2019) 4.44 
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  10. Tomaszewski, R.: Citations to chemical databases in scholarly articles : to cite or not to cite? (2019) 4.44 
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  11. Wen, F.: Study on the research evolution of Nobel laureates 2018 based on self-citation network (2019) 4.44 
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  12. Phillips, R.L.: Book citations in PhD science dissertations : an examination of commercial book publishers' influence (2018) 4.44 
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  13. Jacso, P.: Testing the calculation of a realistic h-index in Google Scholar, Scopus, and Web of Science for F. W. Lancaster (2008) 4.44 
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  14. Hellsten, I.; Leydesdorff, L.: Automated analysis of actor-topic networks on twitter : new approaches to the analysis of socio-semantic networks (2020) 4.44 
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  15. Yan, E.; Chen, Z.; Li, K.: Authors' status and the perceived quality of their work : measuring citation sentiment change in nobel articles (2020) 4.44 
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  16. Haley, M.R.: ¬A simple paradigm for augmenting the Euclidean index to reflect journal impact and visibility (2020) 4.44 
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  17. Williams, B.: Dimensions & VOSViewer bibliometrics in the reference interview (2020) 4.44 
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  18. Roszkowski, M.: ¬The sociological and ontological dimensions of the knowledge organization domain on Google Scholar citations (2020) 4.44 
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  19. Jiang, X.; Zhu, X.; Chen, J.: Main path analysis on cyclic citation networks (2020) 4.44 
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  20. Tay, W.; Zhang, X.; Karimi , S.: Beyond mean rating : probabilistic aggregation of star ratings based on helpfulness (2020) 4.44 
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