Please wait a minute...
New Technology of Library and Information Service  2010, Vol. 26 Issue (1): 71-76    DOI: 10.11925/infotech.1003-3513.2010.01.13
article Current Issue | Archive | Adv Search |
Trend Mapping of Scientometrics Development: 1978-2008
Chen Yunwei
(The Chengdu Branch of National Science Library, Chinese Academy of Sciences, Chengdu 610041, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

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
: 

G259

 
Corresponding Authors: Chen Yunwei     E-mail: chenyw@clas.ac.cn
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.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.01.13     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I1/71

[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].
http://www.oecd.org/document/10/0,3343,en_2649_34451_1901066_1_1_1_1,00.html.
[9] Science and Engineering Indicators 2008[R/OL]. [2009-03-13]. http://www.ipiq.com/our_research/index.asp.
[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].
http://admin-apps.isiknowledge.com/JCR/JCR?SID=V2p87KiN6kFEo3gHCM7.
[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.

[1] Lu Yunmeng,Liu Tiezhong. Diffusion Model for Tacit Knowledge of Scientific Cooperation Network Based on Relevance: Case Study of Major Sci-Tech Projects[J]. 数据分析与知识发现, 2021, 5(9): 10-20.
[2] Xu Zengxulin, Xie Jing, Yu Qianqian. Designing New Evaluation Model for Talents[J]. 数据分析与知识发现, 2021, 5(8): 122-131.
[3] Chai Qingfeng, Shi Linyan, Mei Shan, Xiong Haitao, He Huixin. Extracting Knowledge Elements of Sci-Tech Literature Based on Artificial and Machine Features[J]. 数据分析与知识发现, 2021, 5(8): 132-144.
[4] Wang Qinjie, Qin Chunxiu, Ma Xubu, Liu Huailiang, Xu Cunzhen. Recommending Scientific Literature Based on Author Preference and Heterogeneous Information Network[J]. 数据分析与知识发现, 2021, 5(8): 54-64.
[5] Shen Si,Li Qinyu,Ye Yuan,Sun Hao,Ye Wenhao. Topic Mining and Evolution Analysis of Medical Sci-Tech Reports with TWE Model[J]. 数据分析与知识发现, 2021, 5(3): 35-44.
[6] Zhang Xin,Wen Yi,Xu Haiyun. A Prediction Model with Network Representation Learning and Topic Model for Author Collaboration[J]. 数据分析与知识发现, 2021, 5(3): 88-100.
[7] He Xueyao, Ma Tingcan, Yue Mingliang, Ou Guiyan. Analyzing Highly Cited Papers Sponsored by National Natural Science Foundation of China[J]. 数据分析与知识发现, 2021, 5(2): 61-69.
[8] Li Xiao, Qu Jiansheng. Review of Application and Evolution of Meta-Analysis in Social Sciences[J]. 数据分析与知识发现, 2021, 5(11): 1-12.
[9] Chen Shiji, Qiu Junping, Yu Bo. Topic Analysis of LIS Big Data Research with Overlay Mapping[J]. 数据分析与知识发现, 2021, 5(10): 51-59.
[10] Yu Shuo,Hayat Dino Bedru,Chu Xinbei,Yuan Yuyuan,Wan Liangtian,Xia Feng. Understanding Serendipity in Science: A Survey[J]. 数据分析与知识发现, 2021, 5(1): 16-35.
[11] Li Gang, Guan Weidong, Ma Yaxue, Mao Jin. Predicting Social Media Visibility of Scholarly Articles[J]. 数据分析与知识发现, 2020, 4(8): 63-74.
[12] Wang Xinyun,Wang Hao,Deng Sanhong,Zhang Baolong. Classification of Academic Papers for Periodical Selection[J]. 数据分析与知识发现, 2020, 4(7): 96-109.
[13] Hu Yongjun,Wei Tingting,Dou Zixin,Huang Yunyin,Liang Ruicheng,Chang Huiyou. Tech-Development Path of Knife-Scissor Industry in Guangdong with TRIZ Analysis of Patents[J]. 数据分析与知识发现, 2020, 4(2/3): 101-109.
[14] Shi Hongbo,Guo Hongmei,Yue Ting,Qian Li,Huang Dingyu,Chang Zhijun. Developing Modularity Scientometrics System with Distributed Technology[J]. 数据分析与知识发现, 2020, 4(2/3): 231-238.
[15] Hong Pan,Li Tang. Qualitative Data Analysis in Chinese Social Science Studies——The Case of Nvivo[J]. 数据分析与知识发现, 2020, 4(1): 51-62.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn