IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1909.04521.html
   My bibliography  Save this paper

Is culture related to strong science? An empirical investigation

Author

Listed:
  • Mahmood Khosrowjerdi
  • Lutz Bornmann

Abstract

National culture is among those societal factors which could influence research and innovation activities. In this study, we investigated the associations of two national culture models with citation impact of nations (measured by the proportion of papers belonging to the 10% and 1% most cited papers in the corresponding fields, PPtop 10% and PPtop 1%). Bivariate statistical analyses showed that of six Hofstede's national culture dimensions (HNCD), uncertainty avoidance and power distance had a statistically significant negative associa-tion, while individualism and indulgence had a statistically significant positive associationwith both citation impact indicators. The study also revealed that of two Inglehart-Welzel cultural values (IWCV), the value survival versus self-expression is statistically significantly related to citation impact indicators. We additionally calculated multiple regression analyses controlling for the possible effects of confounding factors including national self-citations, international co-authorships, invest-ments in research and development, international migrant stock, number of researchers ofeach nation, language, and productivity. The results revealed that the statistically significant associations of HNCD with citation impact indicators disappeared. But the statistically significant relationship between survivals versus self-expression values and citation impact indicators remained stable even after controlling for the confounding variables. Thus, the freedom of expression and trust in society might contribute to better scholarly communication systems, higher level of international collaborations, and further quality research.

Suggested Citation

  • Mahmood Khosrowjerdi & Lutz Bornmann, 2019. "Is culture related to strong science? An empirical investigation," Papers 1909.04521, arXiv.org, revised Apr 2021.
    • Handle: RePEc:arx:papers:1909.04521
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1909.04521
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elham Erfanian & Amir B. Ferreira Neto, 2017. "Scientific output: labor or capital intensive? An analysis for selected countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 461-482, July.
    2. Christoph Emanuel Mueller, 2016. "Accurate forecast of countries’ research output by macro-level indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1307-1328, November.
    3. Elham Erfanian & Amir B. Ferreira Neto, 2017. "Scientific output: labor or capital intensive? An analysis for selected countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 461-482, July.
    4. Diana Hicks & Paul Wouters & Ludo Waltman & Sarah de Rijcke & Ismael Rafols, 2015. "Bibliometrics: The Leiden Manifesto for research metrics," Nature, Nature, vol. 520(7548), pages 429-431, April.
    5. Harzing, Anne-Wil & Giroud, Axèle, 2014. "The competitive advantage of nations: An application to academia," Journal of Informetrics, Elsevier, vol. 8(1), pages 29-42.
    6. Ernesto R. Gantman, 2012. "Economic, linguistic, and political factors in the scientific productivity of countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 967-985, December.
    7. Caroline S. Wagner & Koen Jonkers, 2017. "Open countries have strong science," Nature, Nature, vol. 550(7674), pages 32-33, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yongchao Ma & Ying Teng & Zhongzhun Deng & Li Liu & Yi Zhang, 2023. "Does writing style affect gender differences in the research performance of articles?: An empirical study of BERT-based textual sentiment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2105-2143, April.
    2. Huang, Shengzhi & Huang, Yong & Bu, Yi & Luo, Zhuoran & Lu, Wei, 2023. "Disclosing the interactive mechanism behind scientists’ topic selection behavior from the perspective of the productivity and the impact," Journal of Informetrics, Elsevier, vol. 17(2).
    3. Zhang, Guangyao & Xu, Shenmeng & Sun, Yao & Jiang, Chunlin & Wang, Xianwen, 2022. "Understanding the peer review endeavor in scientific publishing," Journal of Informetrics, Elsevier, vol. 16(2).
    4. Alonso Rodríguez-Navarro & Ricardo Brito, 2022. "The link between countries’ economic and scientific wealth has a complex dependence on technological activity and research policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2871-2896, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Khosrowjerdi, Mahmood & Bornmann, Lutz, 2021. "Is culture related to strong science? An empirical investigation," Journal of Informetrics, Elsevier, vol. 15(4).
    2. Tanel Hirv, 2022. "The interplay of the size of the research system, ways of collaboration, level, and method of funding in determining bibliometric outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1295-1316, March.
    3. Mehmet Pinar, 2023. "Do research performances of universities and disciplines in England converge or diverge? An assessment of the progress between research excellence frameworks in 2014 and 2021," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5731-5766, October.
    4. Claudia N. Gonzalez Brambila & Renata Herrerias, 2024. "Assessing the impact of collaborative authorship in Business Economics in Latin America," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4623-4660, July.
    5. Bárbara S. Lancho-Barrantes & Francisco J. Cantú-Ortiz, 2019. "Science in Mexico: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 499-517, February.
    6. Alonso Rodríguez-Navarro & Ricardo Brito, 2022. "The link between countries’ economic and scientific wealth has a complex dependence on technological activity and research policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2871-2896, May.
    7. Elham Erfanian & Amir B. Ferreira Neto, 2017. "Scientific output: labor or capital intensive? An analysis for selected countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 461-482, July.
    8. Xu, Xu & Reed, Markum, 2021. "The impact of internet access on research output - a cross-country study," Information Economics and Policy, Elsevier, vol. 56(C).
    9. Bryce, Cormac & Dowling, Michael & Lucey, Brian, 2020. "The journal quality perception gap," Research Policy, Elsevier, vol. 49(5).
    10. Domingo Docampo & Lawrence Cram, 2019. "Highly cited researchers: a moving target," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1011-1025, March.
    11. Michaela Strinzel & Josh Brown & Wolfgang Kaltenbrunner & Sarah Rijcke & Michael Hill, 2021. "Ten ways to improve academic CVs for fairer research assessment," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-4, December.
    12. Sten F Odenwald, 2020. "A citation study of earth science projects in citizen science," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-26, July.
    13. Constance Poitras & Vincent Larivière, 2023. "Research mobility to the United States: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2601-2614, April.
    14. Hyeonchae Yang & Woo-Sung Jung, 2015. "A strategic management approach for Korean public research institutes based on bibliometric investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1437-1464, July.
    15. Alexander Kalgin & Olga Kalgina & Anna Lebedeva, 2019. "Publication Metrics as a Tool for Measuring Research Productivity and Their Relation to Motivation," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 44-86.
    16. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    17. Ramón A. Feenstra & Emilio Delgado López-Cózar, 2022. "Philosophers’ appraisals of bibliometric indicators and their use in evaluation: from recognition to knee-jerk rejection," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2085-2103, April.
    18. Joost Kosten, 2016. "A classification of the use of research indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 457-464, July.
    19. Daniela De Filippo & Fernanda Morillo & Borja González-Albo, 2023. "Measuring the Impact and Influence of Scientific Activity in the Humanities and Social Sciences," Publications, MDPI, vol. 11(2), pages 1-17, June.
    20. Lin Hu & Qinghai Chen & Tingting Yang & Chuanjian Yi & Jing Chen, 2024. "Visualization and Analysis of Hotspots and Trends in Seafood Cold Chain Logistics Based on CiteSpace, VOSviewer, and RStudio Bibliometrix," Sustainability, MDPI, vol. 16(15), pages 1-22, July.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:1909.04521. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.