Name
Title | ||
|---|---|---|
Tracing the footprint of knowledge spillover: Evidence from U.S.-China collaboration in nanotechnology. |
Abstract | ||
|---|---|---|
The impact of international collaboration on research performance has been extensively explored over the past two decades. Most research, however, focuses on quantity and citation-based indicators. Using the turnover of keywords, this study develops an integrative approach, tracking and visualizing the shift of the research stream, and tests it within the context of U.S.-China collaboration in nanotechnology. The results show evidence in support of the linkage between the emergence of a new research stream of Chinese researchers when there is U.S.-China collaboration. We also find that the triggered research stream diffused further via extended coauthorship. Policy implications for science and technology development and resource allocation in the United States and China are discussed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1002/asi.22873 | JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY |
Keywords | Field | DocType |
knowledge modeling,text mining,knowledge representation | Nanotechnology,Data mining,Knowledge representation and reasoning,Computer science,China,Citation,Resource allocation,Footprint,Knowledge spillover,Knowledge modeling,Tracing | Journal |
Volume | Issue | ISSN |
64 | 9 | 1532-2882 |
Citations | PageRank | References |
10 | 0.65 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Tang | 1 | 85 | 8.78 |
| Guangyuan Hu | 2 | 108 | 7.49 |