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How Influential Are Demography Journals?

Author

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  • Hendrik P. van Dalen
  • Kène Henkens

Abstract

This article examines, by means of citation analysis for the years 1991–95, the process of knowledge dissemination in demography journals and the intellectual exchange of demography journals with neighboring social sciences. In addition, it investigates the degree of uncitedness in demography journals. It turns out that a considerable percentage of articles are left uncited: 36 percent of the articles published in demography journals between 1990 and 1992 remained uncited in the five years following their publication. However, these overall uncitedness rates conceal large variations between journals. General‐oriented demography journals from the US are well cited. Within the set of demography journals, knowledge flows from general to specialized journals and to a lesser extent the other way round. Specialized journals play a minor role in the construction and exchange of fundamental demographic knowledge. They do, however, influence specific audiences in neighboring social sciences.

Suggested Citation

  • Hendrik P. van Dalen & Kène Henkens, 1999. "How Influential Are Demography Journals?," Population and Development Review, The Population Council, Inc., vol. 25(2), pages 229-251, June.
    • Handle: RePEc:bla:popdev:v:25:y:1999:i:2:p:229-251
    DOI: 10.1111/j.1728-4457.1999.00229.x
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    Citations

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    Cited by:

    1. Arjo Klamer & Hendrik van Dalen, 2001. "Attention and the art of scientific publishing," Journal of Economic Methodology, Taylor & Francis Journals, vol. 9(3), pages 289-315.
    2. Hendrik P. van Dalen & K?ne Henkens, 2005. "Signals in science - On the importance of signaling in gaining attention in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(2), pages 209-233, August.
    3. Matthias Potthoff & Fabian Zimmermann, 2017. "Is there a gender-based fragmentation of communication science? An investigation of the reasons for the apparent gender homophily in citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1047-1063, August.
    4. Hendrik P. Van Dalen & Kène Henkens, 2001. "What makes a scientific article influential? The case of demographers," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(3), pages 455-482, March.
    5. Pedro Cosme Vieira & Aurora A. C. Teixeira, 2010. "Are finance, management, and marketing autonomous fields of scientific research? An analysis based on journal citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 627-646, December.
    6. Hendrik P. van Dalen & Kène Henkens, 2012. "What is on a Demographer’s Mind?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 26(16), pages 363-408.
    7. Li, Xin & Wen, Yang & Jiang, Jiaojiao & Daim, Tugrul & Huang, Lucheng, 2022. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Weiping Yue & Concepción S. Wilson, 2004. "Measuring the citation impact of research journals in clinical neurology: A structural equation modelling analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 317-332, August.
    9. Mingyang Wang & Shi Li & Guangsheng Chen, 2017. "Detecting latent referential articles based on their vitality performance in the latest 2 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1557-1571, September.
    10. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.

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