 An informetric model for the success-indexFiorenzo Franceschini, Maurizio Galetto, Domenico Maisano and Luca Mastrogiacomo Journal of Informetrics, 2013, vol. 7, issue 1, 109-116 Abstract: Based on an idea by Kosmulski, Franceschini et al. (2012, Scientometrics 92(3), 621–641) propose to classify a publication as “successful” when it receives more citations than a specific comparison term (CT). In the intention of the authors CT should be a suitable estimate of the number of citations that a publication – in a certain scientific context and period of time – should potentially achieve. According to this definition, the success-index is defined as the number of successful papers, among a group of publications examined, such as those associated to a scientist or a journal. In the first part of the paper, the success-index is recalled, discussing its properties and limitations. Next, relying on the theory of Information Production Processes (IPPs), an informetric model of the index is formulated, for a better comprehension of the index and its properties. Particular emphasis is given to a theoretical sensitivity analysis of the index. Keywords: Lotka's law; h-Index; success-Index; Information production processes (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:7:y:2013:i:1:p:109-116 DOI: 10.1016/j.joi.2012.09.008 Access Statistics for this article Journal of Informetrics is currently edited by Leo Egghe More articles in Journal of Informetrics from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.