Kwon, O; Seo, J; Noh, K; Kim, J; Kim, JS; Shin, SY Categorizing influential patents using bibliometric analysis of patent citations network INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 10 (3): 313-326 MAY 2007

Eugene Garfield garfield at CODEX.CIS.UPENN.EDU
Fri Jun 6 12:30:24 EDT 2008


E-mail Address: dbajin at kisti.re.kr; jinny at kisti.re.kr; infor at kisti.re.kr; 
aresto at kisti.re.kr; jskim at venus.uos.ac.kr; sung.shin at sdstate.edu 

Author(s): Kwon, O (Kwon, OhJin); Seo, J (Seo, Jinny); Noh, K (Noh, 
KyoungRan); Kim, J (Kim, JeongHo); Kim, JS (Kim, Jin Suk); Shin, SY (Shin, 
Sung Y.) 

Title: Categorizing influential patents using bibliometric analysis of 
patent citations network 

Source: INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 10 (3): 
313-326 MAY 2007 

Language: English 

Document Type: Article 

Author Keywords: bibliographic coupling; co-citation analysis; influential 
patent search 
Abstract: Recently, research for network has been actively progressing. 
Internet, bio-metabolic, and coauthor networks of scientific thesis has a 
decreasing distribution to power law. However, researches on network 
utilizing patent information have not been very active. It suggests the 
method calculating large sparse matrix by supercomputer, examining patent 
network distribution by bibliographic coupling and co-citation, and 
identifying influential patents. The majority of studies, which are 
targeted to find Hub patents, are using the number of forward citation of 
patents. Yet the most recent technological convergences among different 
fields have been enforced, and the development of this fusion technology 
has been rapidly progressing. Therefore the forward citation of patent 
occurs in the applicable field of technologies as well as in other fields 
of technology; the method to find influential patents within the 
applicable field of technology is using only the number of forward 
citation of patents that may cause severe distortions. This study will 
explore three types of influential patents by minimizing the distortion 
phenomenon accompanied by the number of patent forward citation. To serve 
this purpose, the patent classification method is using bibliographic 
coupling and co-citation analysis used in knowledge search. 

Addresses: KISTI, Seoul, South Korea; Univ Seoul, Seoul, South Korea; S 
Dakota State Univ, EE & CS Dept, Brookings, SD 57007 USA 

Reprint Address: Kwon, O, KISTI, 206-9 CheongRangri Dong, Seoul, South 
Korea. 

E-mail Address: dbajin at kisti.re.kr; jinny at kisti.re.kr; infor at kisti.re.kr; 
aresto at kisti.re.kr; jskim at venus.uos.ac.kr; sung.shin at sdstate.edu
 
Cited Reference Count: 14 

Times Cited: 0 

Publisher: INT INFORMATION INST 

Publisher Address: FAC ENG, HOSEI UNIV, KOGANEI, TOKYO, 184-8584, JAPAN 

ISSN: 1343-4500 

29-char Source Abbrev.: INFORMATION 

ISO Source Abbrev.: Information 

Source Item Page Count: 14 

ISI Document Delivery No.: 293KT 

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