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In this article, we aimed to investigate the dynamics of higher education texts from 2002 to 2011 by identifying the most frequently cited references, the highest cited authors, and the correlations among the co-citations. Citation and Co-Citation analyses were used to examine 1,941 cited journal articles from 41,001 publications published in SCI and SSCI databases. We juxtaposed the status of citations between two periods of 2002-2006 and 2007-2011. Results showed research trends changed significantly. Some generative reflections, methodological limitations, future research recommendations were discussed as well.

To explore the intellectual structure of mobile ad hoc networks (MANET) research in the last decade, this study identified the most important publications and the most influential scholars as well as the correlations among these scholar’s publications. In this study, bibliometric, social network analysis techniques are used to investigate the intellectual pillars of the MANET literature. By analyzing 41,001 citations of 1,941 articles published in SCI and SSCI journal in MANET area between 2001 and 2010, this study maps a knowledge network of MANET studies. The results of the mapping can help identify the research direction of MANET research and provide a valuable tool for researchers to access the literature in this area.

Summary form only given. The main theme inherent in this paper is that technological capabilities are not fully understood and remain understudied as a field of inquiry. As a proxy measure of such capabilities, a family of related patents may be viewed as the revealed manifestation of technological capabilities (RTC) at micro level. Patent databases have stored a wealth of publicly-held and verified knowledge. Obviously, this type of publicly-accessible and -protected indicators can be used to detect intellectual/technological capital in competitive environments. No individual, company, or country should ignore this invaluable competitive information in its research frontier. Before investing in a search for, and inclusion of, for example, tacit knowledge, embedded knowledge, embodied knowledge and so on, one must start with this verified knowledge. Moreover, it would be waste of time and effort, if such indicators of revealed technological capability knowledge are not cost-effectively data-mined prior to any large-scale research. Therefore, no patent or patent study should be ignored by any competitor with related ideas, as any patent can then act as the hidden "root system" for supporting the further growth of a "tree" and its new branches. When the full grown tree becomes visible, it is to late. Therefore, the data-mining or text-mining (and their further refined versions) should be utilized to reveal the existence of knowledge about any technological opportunities and/or research frontiers, however rudimentary prior to any related undertaking. This paper provides a methodology and examples for such an approach.