381 research outputs found
On some new bibliometric applications of statistics related to the h-index.
In this note some new fields of application of Hirsch-related statistics are presented. Furthermore, so far unrevealed properties of the h-index are analysed in the context of rank-frequency and extreme-value statistics.
Using a bibliometric approach to support research policy decisions: The case of the Flemish BOF-key.
In this paper, we describe the development of a methodology and an instrument to support a major research funding allocation decision by the Flemish government. Over the last decade, and in parallel with the decentralization and the devolution of the Belgian federal policy authority towards the various regions and communities in the country, science and technology policy have become a major component of regional policy making. In the Flemish region, there has been an increasing focus on basing the funding allocation decisions that originate from this policy decentralization on 'objective, quantifiable and repeatable' decision parameters. One of the data sources and indicator bases that have received ample attention in this evolution is the use of bibliometric data and indicators. This has now led to the creation of a dedicated research and policy support staff, called 'Steunpunt O&O Statistieken,' and the first time application of bibliometric data and methods to support a major inter-university funding allocation decision. In this paper, we analyze this evolution. We show how bibliometric data have for the first time been used to allocate 93 million Euro of public research money between 6 Flemish universities for the fiscal year 2003, based on Web-of-Science SCI data provided to 'Steunpunt O&O Statistieken' via a license agreement with Thomson-ISI. We also discuss the limitations of the current approach that was based on inter-university publication and citation counts. We provide insights into future adaptations that might make it more representative of the total research activity at the universities involved (e.g. by including data for the humanities) and of its visibility (e.g. by including impact measures). Finally, based on our current experience and interactions with the universities involved, we speculate on the future of the specific bibliometric approach that has now been adopted. More specifically, we hypothesize that the allocation method now developed and under further improvement will become more criticized if it turns out that it (1) also starts influencing intra-university research allocation decisions and, as a consequence (2) introduces adverse publication and citation behaviors at the universities involved.Policy; Decisions; Decision;
Research in emerging fields: Who takes the lead?.
In the present piece we study research performance and collaboration of the European Union and the most active countries in emerging topics that have been identified in a dynamic cluster analysis of selected Web of Science Subject Categories in the period 1999-2008.
Using noun phrases extraction for the improvement of hybrid clustering with text- and citation-based components. The example of âInformation Systems Researchâ
The hybrid clustering approach combining lexical and link-based similarities suffered for a long time from the different properties of the underlying networks. We propose a method based on noun phrase extraction using natural language processing to improve the measurement of the lexical component. Term shingles of different length are created form each of the extracted noun phrases. Hybrid networks are built based on weighted combination of the two types of similarities with seven different weights. We conclude that removing all single term shingles provides the best results at the level of computational feasibility, comparability with bibliographic coupling and also in a community detection application
An empirical assessment of co-activity among German professors
The growing importance of technology relevant non-publication output of university research has come into the focus of policy-makers? interest. A fierce debate arose on possible negative consequences of the increasing commercialization of science, as it may come along with a reduction in research performance. This paper investigates the relationship between publishing as a measure of scientific output and patenting for German professors active in a range of science fields. We combine bibliometric/technometric indicators and econometric techniques to show that patenting positively correlates with, first, the publication output and, second, with publication quality of patenting researchers. --academic inventors,patents,publications
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