Hyper-H-Indices for Multi-Attribute Research Outputs: Characterizations

Stefano Vannucci ()

Department of Economics University of Siena from Department of Economics, University of Siena

Abstract: A multi-attribute research output index assigns a real number to any integer-valued matrix recording the relevant research items and their respective attribute-scores, for any fixed set of m distinct integer-valued attributes. The hyper-h (HH) index assigns to such a multi-attribute research output the maximum number n of output-items having a minimum attribute-score not smaller than n. Thus, HH-indices can also be described by analogy with the h-index as hyper-Durfee numbers, namely as side-sizes of suitable Durfee hypercubes. Two distinct characterizations of HH-indices that generalize well-known characterizations of the h-index are provided. Those characterizations strongly suggest that the standard properties of the h-index can be easily lifted to multi-attribute outputs, provided that distinct attributes are implicitly given an equal 'weight'.

JEL-codes: D63 Z00 Z19 (search for similar items in EconPapers)
Date: 2017-05
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.deps.unisi.it/quaderni/755.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:usi:wpaper:755

Access Statistics for this paper

More papers in Department of Economics University of Siena from Department of Economics, University of Siena Contact information at EDIRC.
Bibliographic data for series maintained by Fabrizio Becatti ().