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© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 15. Juni 2019)
1Karaulova, M. ; Gök, A. ; Shapira, P.: Identifying author heritage using surname data : an application for Russian surnames.
In: Journal of the Association for Information Science and Technology. 70(2019) no.5, S.488-498.
Abstract: This research article puts forward a method to identify the national heritage of authors based on the morphology of their surnames. Most studies in the field use variants of dictionary-based surname methods to identify ethnic communities, an approach that suffers from methodological limitations. Using the public file of ORCID (Open Researcher and Contributor ID) identifiers in 2015, we developed a surname-based identification method and applied it to infer Russian heritage from suffix-based morphological regularities. The method was developed conceptually and tested in an undersampled control set. Identification based on surname morphology was then complemented by using first-name data to eliminate false-positive results. The method achieved 98% precision and 94% recall rates-superior to most other methods that use name data. The procedure can be adapted to identify the heritage of a variety of national groups with morphologically regular naming traditions. We elaborate on how the method can be employed to overcome long-standing limitations of using name data in bibliometric datasets. This identification method can contribute to advancing research in scientific mobility and migration, patenting by certain groups, publishing and collaboration, transnational and scientific diaspora links, and the effects of diversity on the innovative performance of organizations, regions, and countries.
Inhalt: Vgl.: https://onlinelibrary.wiley.com/doi/10.1002/asi.24104.
2Gök, A. ; Rigby, J. ; Shapira, P.: ¬The impact of research funding on scientific outputs : evidence from six smaller European countries.
In: Journal of the Association for Information Science and Technology. 67(2016) no.3, S.715-730.
Abstract: We investigate the relationships between the citation impacts of scientific papers and the sources of funding that are acknowledged as having supported those publications. We examine several relationships potentially associated with funding, including first citation, total citations, and the chances of becoming highly cited. Furthermore, we explore the links between citations and types of funding by organization and also with combined measures of funding. In particular, we examine the relationship between funding intensity and funding variety and citation. Our empirical work focuses on six small advanced European economies, applying a zero inflated negative binomial model to a set of more than 240,000 papers authored by researchers from these countries. We find that funding is not related to the first citation but is significantly related to the number of citations and top percentile citation impact. Additionally, we find that citation impact is positively related to funding variety and negatively related with funding intensity. Finally there is an inverse relationship between the relative frequency of funding and citation impact. The results presented in the paper provide insights for the design of research programs and the structure of research funding and for the behavior and strategies of research and sponsoring organizations.
Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23406/abstract.