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On measuring scientific influence, Volume 1
 
Author:Ravallion, Martin; Wagstaff, Adam; Country:World;
Date Stored:2010/07/22Document Date:2010/07/01
Document Type:Policy Research Working PaperSubTopics:Information and Records Management; Information Security & Privacy; Economic Theory & Research; Tertiary Education; Knowledge for Development
Language:EnglishRegion:The World Region
Report Number:WPS5375Collection Title:Policy Research working paper ; no. WPS 5375
Volume No:1  

Summary: Bibliometric measures based on citations are widely used in assessing the scientific publication records of authors, institutions and journals. Yet currently favored measures lack a clear conceptual foundation and are known to have counter-intuitive properties. The authors propose a new approach that is grounded on a theoretical "influence function," representing explicit prior beliefs about how citations reflect influence. They provide conditions for robust qualitative comparisons of influence -- conditions that can be implemented using readily-available data. An example is provided using the economics publication records of selected universities and the World Bank.

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