Master data

An interdisciplinary view on robustness
Description:

The  project seeks transfer measures associated with robustness (and robustness concepts) from one discipline to another. In order to do so, we employ a systematic citation and co-citation analysis of scientific research concerned withdifferent aspects of robustness. Then, we aim at defining clusters of influential articles (or authors) that have a high impact on the understanding of robustness withindisciplines. As a next step, utilizing a social network analysis, we aim at exploring coherences of robustness concepts across disciplines. The project outcome, i.e.,the transfer of robustness measures and a systematic citation and co-citation analysis including coherences among the concepts across disciplines and a systematic review of the defined clusters of articles (or researchers) potentially represents avalue added for researchers (for a wide variety of disciplines) which are concerned with robustness.

Keywords: Robustness, citation analysis, literature analysis, network analysis
Short title: Robustness
Period: 01.10.2017 - 30.04.2018
Contact e-mail: stephan.leitner@aau.at
Homepage: -

Categorisation

Project type Research funding (on request / by call for proposals)
Funding type §27
Research type
  • Fundamental research
Subject areas
  • 502044 - Business management
  • 101015 - Operations research
  • 502052 - Business administration
  • 102009 - Computer simulation
  • 502006 - Controlling
Research Cluster No research Research Cluster selected
Gender aspects Genderrelevance not selected
Project focus
  • Science to Science (Quality indicator: III)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected