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Michael Gusenbauer

Researcher at Johannes Kepler University of Linz

Publications -  12
Citations -  1061

Michael Gusenbauer is an academic researcher from Johannes Kepler University of Linz. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 4, co-authored 6 publications receiving 398 citations. Previous affiliations of Michael Gusenbauer include Technische Universität München & University of Innsbruck.

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Which Academic Search Systems are Suitable for Systematic Reviews or Meta‐Analyses? Evaluating Retrieval Qualities of Google Scholar, PubMed and 26 other Resources

TL;DR: The study is the first to show the extent to which search systems can effectively and efficiently perform (Boolean) searches with regards to precision, recall, and reproducibility and to demonstrate why Google Scholar is inappropriate as principal search system.
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Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases

TL;DR: A comparative picture of 12 of the most commonly used ASEBDs is provided by counting query hit data as an indicator of the number of accessible records and indicates that Google Scholar’s size might have been underestimated so far by more than 50%.
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Innovation Offshoring, Institutional Context and Innovation Performance: A Meta-Analysis

TL;DR: In this paper, the authors explore institutions that facilitate reverse knowledge transfer and/or institutional arbitrage with respect to innovation-related activities and show that the benefits firms can derive from innovation offshoring depend on the institutional environment at home.
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What every Researcher should know about Searching - Clarified Concepts, Search Advice, and an Agenda to improve Finding in Academia.

TL;DR: To improve academic searching, the “Search Triangle” model is introduced emphasizing the importance of matching goals, heuristics, and systems and an urgently needed agenda toward search literacy as the norm in academic research and fit‐for‐purpose search systems is suggested.
Journal ArticleDOI

Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases

Michael Gusenbauer
- 01 May 2022 - 
TL;DR: For example, this article used query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases in academia.