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The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies

Author

Listed:
  • Vincenzo Basile
  • Massimiliano Giacalone
  • Paolo Carmelo Cozzucoli

Abstract

In recent years, statistical methods such as bibliometrics have increasingly intensified to analyse books, articles, and other publications. Bibliometric methods, as techniques to measure the information distribution models, are frequently used in the field of information science and social research. The main purpose of this article is to offer scholars a general framework for the comparison between positive and negative aspects of bibliometrics, on the methods and tools used. Therefore, both the strengths and the critical points will be highlighted, to obtain a complete and detailed overview of the entire argument. In the methodological part, a bibliometric analysis will be applied to various case studies, such as with the Generalized Error Distribution, analysing and commenting on the data, and using the Bibliometrix software. The results suggest that in the future there will be greater consolidation of bibliometrics, as the introduction of increasingly advanced technologies will create new tools and methods characterized by a high degree of automation and speed.

Suggested Citation

  • Vincenzo Basile & Massimiliano Giacalone & Paolo Carmelo Cozzucoli, 2022. "The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies," Review of European Studies, Canadian Center of Science and Education, vol. 14(3), pages 1-10, November.
    • Handle: RePEc:ibn:resjnl:v:14:y:2022:i:3:p:10
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    References listed on IDEAS

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    1. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    2. Elizabeth S. Vieira & José A. N. F. Gomes, 2009. "A comparison of Scopus and Web of Science for a typical university," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 587-600, November.
    3. Antonella Paolini & Alberto Quagli, 2013. "Una riflessione sugli strumenti bibliometrici per la valutazione della ricerca e una proposta: il real impact factor," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2013(3), pages 115-128.
    4. Paul Travis Nicholls, 1989. "Bibliometric modeling processes and the empirical validity of Lotka's Law," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(6), pages 379-385, November.
    5. Cerqueti, Roy & Giacalone, Massimiliano & Panarello, Demetrio, 2019. "A Generalized Error Distribution Copula-based method for portfolios risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 687-695.
    6. Massimo Aria & Michelangelo Misuraca & Maria Spano, 2020. "Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(3), pages 803-831, June.
    7. Ye‐Sho Chen & Ferdinand F. Leimkuhler, 1986. "A relationship between Lotka's Law, Bradford's Law, and Zipf's Law," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(5), pages 307-314, September.
    8. Swapan Kumar Patra & Saroj Mishra, 2006. "Bibliometric study of bioinformatics literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 477-489, June.
    9. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    10. Lutz Bornmann & Hans‐Dieter Daniel, 2007. "What do we know about the h index?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1381-1385, July.
    11. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
    12. E. C. M. Noyons & H. F. Moed & A. F. J. Raan, 1999. "Integrating research performance analysis and science mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 591-604, November.
    13. Bar-Ilan, Judit & Levene, Mark & Lin, Ayelet, 2007. "Some measures for comparing citation databases," Journal of Informetrics, Elsevier, vol. 1(1), pages 26-34.
    14. Joost C. F. Winter & Amir A. Zadpoor & Dimitra Dodou, 2014. "The expansion of Google Scholar versus Web of Science: a longitudinal study," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1547-1565, February.
    15. Vanclay, Jerome K., 2008. "Ranking forestry journals using the h-index," Journal of Informetrics, Elsevier, vol. 2(4), pages 326-334.
    16. Costas, Rodrigo & Bordons, María, 2007. "The h-index: Advantages, limitations and its relation with other bibliometric indicators at the micro level," Journal of Informetrics, Elsevier, vol. 1(3), pages 193-203.
    17. Roy Cerqueti & M. Giacalone & R. Mattera, 2021. "Model-based fuzzy time series clustering of conditional higher moments," Post-Print hal-03789115, HAL.
    18. Gregory B. Newby & Jane Greenberg & Paul Jones, 2003. "Open source software development and Lotka's Law: Bibliometric patterns in programming," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(2), pages 169-178, January.
    19. Abraham Bookstein, 1977. "Patterns of Scientific Productivity and Social Change: A Discussion of Lotka's Law and Bibliometric Symmetry," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 28(4), pages 206-210, July.
    20. Massimiliano Giacalone & Demetrio Panarello & Raffaele Mattera, 2018. "Multicollinearity in regression: an efficiency comparison between Lp-norm and least squares estimators," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(4), pages 1831-1859, July.
    21. R. Bailón-Moreno & E. Jurado-Alameda & R. Ruiz-Baños & J. P. Courtial, 2005. "Bibliometric laws: Empirical flaws of fit," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(2), pages 209-229, April.
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    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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