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New Technology of Library and Information Service  2010, Vol. 26 Issue (1): 71-76    DOI: 10.11925/infotech.1003-3513.2010.01.13
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Trend Mapping of Scientometrics Development: 1978-2008
Chen Yunwei
(The Chengdu Branch of National Science Library, Chinese Academy of Sciences, Chengdu 610041, China)
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This article makes an analysis of 2 461 papers published in the journal Scientometrics during 1978-2008. By means of scientometric methods and tools (TDA and Excel), the article presents the development trend of scientometrics, and maps the distributions of (the research-related) countries with charts for comparison and collaborations matrix. Then it analyzes 31 top institutions whose number of papers is not less than 20 and reveals the subject areas based on keywords.

Key wordsSCI      Scientometrics      Bibliometric analysis     
Received: 18 September 2009      Published: 25 January 2001


Corresponding Authors: Chen Yunwei     E-mail:
About author:: Chen Yunwei

Cite this article:

Chen Yunwei. Trend Mapping of Scientometrics Development: 1978-2008. New Technology of Library and Information Service, 2010, 26(1): 71-76.

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[1] BÖrner K, Chen C M, Boyack K W. Visualizing Knowledge Domains[J]. Annual Review
of Information Science & Technology,2003:37(5):179-255.
[2] Rip A. Qualitative Conditions of Scientometrics: The New Challenges[J]. Scientometrics, 1997,38(1):7-26.
[3] BÖrner K. Mapping the Structure and Evolution of Science[R]. Bethesda:Symposium
on Knowledge Discovery and Knowledge Management Tools at NIH Natcher Conference Center,2006.
[4] Boyack K W, Brner K, Klavans R. Mapping the Structure and Evolution of Chemistry Research[J]. Scientometrics, 2009,79(1): 45-60.
[5] Leydesdorff L, Rafols I. A Global Map of Science Based on the ISI Subject Categories[J].
Journal of the American Society for Information Science and Technology, 2009,60(2):348-362.
[6] 陈云伟,方曙,邓勇. 基于SSCI研究世界图书情报学科布局[J]. 情报杂志, 2008,27(12):95-97,114.
[7] Chen Y W, Yang Z P, Fang S. A Comparative Study on the Biotechnology Patents of CAS
[C]. In: Proceedings of the 12th International Conference on Scientometrics and Informetrics. Rio De Janeiro,Brasil: ISSI, 2009.
[8] OECD. OECD Work on Patent Statistics[R/OL]. [2009-03-13].,3343,en_2649_34451_1901066_1_1_1_1,00.html.
[9] Science and Engineering Indicators 2008[R/OL]. [2009-03-13].
[10] Schoepflin U, Glanzel W. Two Decades of "Scientometrics"-An Interdisciplinary Field
Represented by Its Leading Journal[J]. Scientometrics, 2001,50(2):301-312.
[11] Peritz B C, Bar-Ilan J. The Sources Used by Bibliometrics-Scientometrics as Reflected in
References[J]. Scientometrics, 2002,54(2):269-284.
[12] Chen C M, McCain K, White H, et al. Mapping Scientometrics (1981 -2001)[C]. In:
Proceedings of the 65th Asist Annual Meeting.Pennsylvania: ARIST, 2002:25-34.
[13] Hou H Y, Kretschmer H, Liu Z Y. The Structure of Scientific Collaboration Networks in
Scientometrics[J]. Scientometrics, 2008,75(2):189-202.
[14] Dutt B, Garg K C, Bali A. Scientometrics of the International Journal Scientometrics[J].
Scientometrics, 2003,56(1): 81-93.
[15] Derek J de Solla Price. Networks of Scientific Papers[J]. Science, 1965,149(3683): 510-515.
[16] ISI. Journal Citation Reports 2007[DB/OL]. [2009-03-20].
[17]  Bar-Ilan J. Informetrics at the Beginning of the 21st Century-A Review[J]. Journal of Informetrics, 2008,2 (1):1-52.
[18] Wilson C S. Informetrics[J]. Annual Review of Information Science & Technology,1999,34(1):107-247.

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