On Measuring Scientific Influence

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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Bibliographic Details
Main Authors: Ravallion, Martin, Wagstaff, Adam
Language:English
Published: 2010-07-01
Subjects:ARTICLE, ARTICLES, BELIEFS, BIBLIOGRAPHIC DATA, BIBLIOGRAPHIC DATABASES, CITATION, CITATION INDEX, CITATIONS, COLLABORATION, DISCUSSION, ECONOMETRICS, ECONOMIC THEORY, ECONOMICS LITERATURE, ENTRY, IDEA, IDEAS, INDICES, INFORMATION SCIENCE, OBJECTS, ORDERING, ORDERINGS, PAPERS, PUBLISHING, RESEARCH OUTPUT, RESEARCHER, RESEARCHERS, SCIENTIFIC DISCIPLINES, SCIENTIFIC FIELDS, SCIENTIFIC RESEARCH, SCIENTIST, SCIENTISTS, SOCIAL SCIENCE, SOCIAL SCIENCES, STANDARDIZATION, UNIVERSITIES, UNIVERSITY DEPARTMENTS, UTILITY FUNCTION, VALUATION, WEB,
Online Access:http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100722103254
https://hdl.handle.net/10986/3858
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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.