Authors:
Bruno Cassiman

Search for other papers by Bruno Cassiman in
Current site
Google Scholar
PubMed
Close
,
Patrick Glenisson

Search for other papers by Patrick Glenisson in
Current site
Google Scholar
PubMed
Close
, and
Bart Van Looy

Search for other papers by Bart Van Looy in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract  

In this pilot study we examine the performance of text-based profiling in recovering a set of validated inventor-author links. In a first step we match patents and publications solely based on their similarity in content. Next, we compare inventor and author names on the highest ranked matches for the occurrence of name matches. Finally, we compare these candidate matches with the names listed in a validated set of inventor-author names. Our text-based profile methodology performs significantly better than a random matching of patents and publications, suggesting that text-based profiling is a valuable complementary tool to the name searches used in previous studies.

  • Collapse
  • Expand

To see the editorial board, please visit the website of Springer Nature.

Manuscript submission: http://www.editorialmanager.com/scim/

For subscription options, please visit the website of Springer Nature.

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)