TY - BOOK ID - 134244392 TI - On Measuring Scientific Influence AU - Wagstaff, Adam AU - Ravallion, Martin PY - 2010 PB - Washington, D.C., The World Bank, DB - UniCat KW - Article KW - Articles KW - Bibliographic data KW - Bibliographic databases KW - Citation KW - Citation index KW - Citations KW - Disclosure KW - Economic Theory & Research KW - Education KW - Entry KW - Indices KW - Information and Communication Technologies KW - Information and Records Management KW - Information Security & Privacy KW - Knowledge for Development KW - Macroeconomics and Economic Growth KW - Objects KW - Ordering KW - Orderings KW - Publishing KW - Researcher KW - Researchers KW - Social science KW - Social sciences KW - Standardization KW - Tertiary Education KW - Web UR - https://www.unicat.be/uniCat?func=search&query=sysid:134244392 AB - 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. ER -