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A Scientometric Approach To Determine And Analyze Productivity, Impact And Topics Based Upon Personal Publication Lists

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 26 May 2015Publisher:ZenodoJournal:Ingénierie Des Systèmes D'information (issn: 1633-1311,

Authors: Isabelle Dorsch; Nils Frommelius;

doi: 10.5281/zenodo.17978

A Scientometric Approach To Determine And Analyze Productivity, Impact And Topics Based Upon Personal Publication Lists

- Summary
- Subjects
- Metrics

Abstract

With the aim of an empirical scientometric case study of information science institutes in Graz (Austria), a publication analysis was held based on the methodological approach of Friedländer (2014) and Hilbert et al. (2015), namely the use of comprehensive (personal or institutional) publication lists instead of applying data from commercial information services (like Web of Science, Scopus or Google Scholar). We determined and analyzed the publications for three institutes in Graz in terms of their productivity (publication output), impact (coverage and citation count) and topics (based on the publication’s titles).

Related Organizations

Düsseldorf University Hospital
Germany
University of Duesseldorf
Germany
Heinrich Heine University Düsseldorf
Germany

Keywords

Scientific institution, Informetrics, Publication list, Scientometric analysis, Topical analysis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average