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Factors affecting citation networks in science and technology: focused on non-quality factors

Author

Listed:
  • Minho So
  • Jiyoung Kim
  • Sangki Choi
  • Han Park

Abstract

This paper analyses citations of journal articles to find out key bibliographic factors that have an effect on citation. It helps to understand the degree of measurable factors which affects to impact factor by scale and correlation analysis between each factors. It ensures moderating variables work to increase impact factor as a moderating effect. Five factors can be measured—the number of authors, the number of affiliations, the number of references, the number of pages, and the number of keywords—were selected. We found that five bibliographic factors have positive effects on citation. All of common bibliographic items, such as subject, nation, year showed general effects in the analysis to examine if the moderating variables increase or decrease the effects on bibliographic factors. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Minho So & Jiyoung Kim & Sangki Choi & Han Park, 2015. "Factors affecting citation networks in science and technology: focused on non-quality factors," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1513-1530, July.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:4:p:1513-1530
    DOI: 10.1007/s11135-014-0110-z
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    References listed on IDEAS

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    1. Sam Garrett-Jones, 2011. "Cross-sector research collaboration in Australia: the Cooperative Research Centres Program at the crossroads," Science and Public Policy, Oxford University Press, vol. 38(2), pages 87-97, March.
    2. Jonathan M. Levitt & Mike Thelwall, 2009. "Citation levels and collaboration within library and information science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(3), pages 434-442, March.
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    Cited by:

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    2. 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.
    3. George A. Barnett & Han Woo Park, 2023. "Co-authorship among the Fellows of the International Communication Association," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3401-3418, June.
    4. Juan Xie & Kaile Gong & Ying Cheng & Qing Ke, 2019. "The correlation between paper length and citations: a meta-analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 763-786, March.
    5. Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
    6. Kaile Gong & Juan Xie & Ying Cheng & Vincent Larivière & Cassidy R. Sugimoto, 2019. "The citation advantage of foreign language references for Chinese social science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1439-1460, September.
    7. Nunkoo, Robin & Hall, C. Michael & Rughoobur-Seetah, Soujata & Teeroovengadum, Viraiyan, 2019. "Citation practices in tourism research: Toward a gender conscientious engagement," Annals of Tourism Research, Elsevier, vol. 79(C).
    8. Han Woo Park & Jungwon Yoon & Loet Leydesdorff, 2016. "The normalization of co-authorship networks in the bibliometric evaluation: the government stimulation programs of China and Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1017-1036, November.
    9. Peyman Akhavan & Nader Ale Ebrahim & Mahdieh A. Fetrati & Amir Pezeshkan, 2016. "Major trends in knowledge management research: a bibliometric study," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1249-1264, June.

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