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.
Main Authors: | , |
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Language: | English |
Published: |
2010-07-01
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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. |
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