Axiomatic measures of intellectual influence
Measuring influence allows the study of such issues as the impact and reputation of scientists and scientific publications, the dynamics of innovation, and the construction of ranking algorithms for search engines in the world wide web. Ranking methods that measure influence are typically based on the information contained in the network of communications between different entities (scholarly publications, patents, web pages). This paper presents within the same framework recent developments that use the axiomatic approach to derive ranking methods. Two related but essentially different ranking problems are studied: journal ranking problems and scholar ranking problems. The paper concludes with open theoretical and empirical questions for future research.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 34 (2014)
Issue (Month): C ()
|Contact details of provider:|| Web page: http://www.elsevier.com/locate/inca/505551|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Glenn Ellison, 2013.
"How Does the Market Use Citation Data? The Hirsch Index in Economics,"
American Economic Journal: Applied Economics,
American Economic Association, vol. 5(3), pages 63-90, July.
- Glenn Ellison, 2010. "How Does the Market Use Citation Data? The Hirsch Index in Economics," NBER Working Papers 16419, National Bureau of Economic Research, Inc.
- Glenn Ellison, 2010. "How does the Market Use Citation Data? The Hirsch Index in Economics," CESifo Working Paper Series 3188, CESifo Group Munich.
- Demange, Gabrielle, 2014. "A ranking method based on handicaps," Theoretical Economics, Econometric Society, vol. 9(3), September.
- Gabrielle Demange, 2013. "A ranking method based on handicaps," PSE Working Papers halshs-00687180, HAL.
- Gabrielle Demange, 2014. "A Ranking Method Based on Handicaps," CESifo Working Paper Series 4636, CESifo Group Munich.
- Gabrielle Demange, 2014. "A ranking method based on handicaps," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-01109087, HAL.
- Chambers, Christopher P. & Miller, Alan D., 2014. "Scholarly influence," Journal of Economic Theory, Elsevier, vol. 151(C), pages 571-583.
- Miller, Alan D. & Chambers, Christopher P., "undated". "Scholarly Influence," Working Papers WP2013/1, University of Haifa, Department of Economics.
- Ignacio Palacios-Huerta & Oscar Volij, 2004. "The Measurement of Intellectual Influence," Econometrica, Econometric Society, vol. 72(3), pages 963-977, 05.
- Ignacio Palacios-Huerta & Oscar Volij, 2002. "The Measurement of Intellectual Influence," Economic theory and game theory 015, Oscar Volij.
- Volij, Oscar & Palacios-Huerta, Ignacio, 2004. "The Measurment of Intellectual Influence," Staff General Research Papers Archive 10797, Iowa State University, Department of Economics.
- Stigler, George J & Stigler, Stephen M & Friedland, Claire, 1995. "The Journals of Economics," Journal of Political Economy, University of Chicago Press, vol. 103(2), pages 331-359, April.
- Woeginger, Gerhard J., 2008. "An axiomatic characterization of the Hirsch-index," Mathematical Social Sciences, Elsevier, vol. 56(2), pages 224-232, September. Full references (including those not matched with items on IDEAS)