This study used citation analysis method to identify the 40 classics published in the Journal of the American Society for Information Science and Technology from 1956 to 2007. Yhe year and subject distributions of these classic references reflect the history and the current status
of information science.
Some new linear and nonlinear delay integral inequalities of G-B-B type are obtained which generalize some results of O. Akinyele
, P. Ch. Tsamatos and S. K. Ntouyas . Application examples are also given.
Objective This paper aimed to examine the reliability of co-citation clustering analysis in representing the research history of subject
by comparing the results from co-citation clustering analysis with a review written by authorities.
Methods Firstly, the treatment of traumatic spinal cord injury was chosen as an investigated subject to be retrieved the resource
articles and their references were downloaded from Science Citation Index CD-ROM between 1992 and 2002. Then, the highly cited
papers were arranged chronologically and clustered with the method of co-citation clustering. After mapping the time line
visualization, the history and structure of treatment of spinal cord injury were presented clearly. At last, the results and
the review were compared according the time period, and then the recall and the precision were calculated.
Results The recall was 37.5%, and the precision was 54.5%. The research history of traumatic spinal cord injury treatment analyzed
by co-citation clustering was nearly consistent with authoritative review, although some clusters had shorter period than
which was summarized by professionals.
Conclusion This paper concluded that co-citation clustering analysis was a useful method in representing the research history of subject,
especially for the information researchers, who do not have enough professional knowledge. Its demerit of low recall could
be offset by combination this method with other analytic techniques.
Authors:Ling-Chu Lee, Pin-Hua Lin, Yun-Wen Chuang, and Yi-Yang Lee
The correlation between GDP and research publications is an important issue in scientometrics. This article provides further empirical evidence connecting revealed comparative advantage in national research with effects on economic productivity. Using quantitative time series analysis, this study attempts to determine the nature of causal relationships between research output and economic productivity. One empirical result is that there is mutual causality between research and economic growth in Asia, whereas in Western countries the causality is much less clear. The results may be of use to underdeveloped nations deciding how to direct their academic investment and industry policy.