Li, X (Li, Xin); Chen, H (Chen, Hsinchun); Huang, Z (Huang, Zan); Roco, MC (Roco, Mihail C.) Patent citation network in nanotechnology (1976-2004) JOURNAL OF NANOPARTICLE RESEARCH, 9 (3): 337-352 JUN 2007

[Eugene Garfield]

E-mail Address: xinli at eller.arizona.edu 

Author(s): Li, X (Li, Xin); Chen, H (Chen, Hsinchun); Huang, Z (Huang, 
Zan); Roco, MC (Roco, Mihail C.) 

Title: Patent citation network in nanotechnology (1976-2004) 

Source: JOURNAL OF NANOPARTICLE RESEARCH, 9 (3): 337-352 JUN 2007 

Language: English 

Document Type: Article 

Author Keywords: citation networks; knowledge discovery; knowledge 
transfer; nanoscale science and engineering (NSE); nanotechnology; patent 
analysis; topological analysis 

Keywords Plus: KNOWLEDGE DIFFUSION; TECHNOLOGY FIELD; SCIENCE; 
INSTITUTION; COUNTRY 

Abstract: The patent citation networks are described using critical node, 
core network, and network topological analysis. The main objective is 
understanding of the knowledge transfer processes between technical 
fields, institutions and countries. This includes identifying key 
influential players and subfields, the knowledge transfer patterns among 
them, and the overall knowledge transfer efficiency. The proposed 
framework is applied to the field of nanoscale science and engineering 
(NSE), including the citation networks of patent documents, submitting 
institutions, technology fields, and countries. The NSE patents were 
identified by keywords "full-text" searching of patents at the United 
States Patent and Trademark Office (USPTO). The analysis shows that the 
United States is the most important citation center in NSE research. The 
institution citation network illustrates a more efficient knowledge 
transfer between institutions than a random network. The country citation 
network displays a knowledge transfer capability as efficient as a random 
network. The technology field citation network and the patent document 
citation network exhibit a less efficient knowledge diffusion capability 
than a random network. All four citation networks show a tendency to form 
local citation clusters. 

Addresses: Univ Arizona, Eller Coll Management, Dept Management Informat 
Syst, Artificial Intelligence Lab, Tucson, AZ 85721 USA; Penn State Univ, 
Smeal Coll Business, Dept Supply Chain & Informat Syst, University Pk, PA 
16802 USA; Natl Sci Fdn, Arlington, VA 22230 USA 

Reprint Address: Li, X, Univ Arizona, Eller Coll Management, Dept 
Management Informat Syst, Artificial Intelligence Lab, Tucson, AZ 85721 
USA. 

E-mail Address: xinli at eller.arizona.edu 

Cited Reference Count: 22 

Times Cited: 0 

Publisher: SPRINGER 

Publisher Address: VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS 

ISSN: 1388-0764 

29-char Source Abbrev.: J NANOPART RES 

ISO Source Abbrev.: J. Nanopart. Res. 

Source Item Page Count: 16 

Subject Category: Chemistry, Multidisciplinary; Nanoscience & 
Nanotechnology; Materials Science, Multidisciplinary 

ISI Document Delivery No.: 166OK 

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