Authors:
Yong-Gil LeeStrategic Planning Division, Korea Institute of Science and Technology, P. O. Box 131, Cheongryang, Seoul, 130-650 Korea

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Jeong-Dong LeeTechno-Economics and Policy Program, Seoul National University, Seoul, South Korea

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Yong-Il SongStrategic Planning Division, Korea Institute of Science and Technology, P. O. Box 131, Cheongryang, Seoul, 130-650 Korea

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Se-Jun LeeTechnology Innovation Evaluation Bureau, Ministry of Science and Technology, Anyang, South Korea

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Abstract  

Patent citation counts represent an aspect of patent quality and knowledge flow. Especially, citation data of US patents contain most valuable pieces of the information among other patents. This paper identifies the factors affecting patent citation counts using US patents belonging to Korea Institute of Science and Technology (KIST). For patent citation count model, zero-inflated models are announced to handle the excess zero data. For explanatory factors, research team characteristics, invention-specific characteristics, and geographical domain related characteristics are suggested. As results, the size of invention and the degree of dependence upon Japanese technological domain significantly affect patent citation counts of KIST.

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Scientometrics
Language English
Size B5
Year of
Foundation
1978
Volumes
per Year
1
Issues
per Year
12
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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