Michael Gusenbauer
Impact in
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
- Health Informatics top 5%
Papers in
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- scientometrics and bibliometrics research 5
- Meta-analysis and systematic reviews 4
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- Academic Publishing and Open Access 3
- Co-authors
- Neal HaddawayNina RosenbuschIsabella HatakMatthias FinkKlaus E. MeyerJulia HautzKurt MatzlerTheresa Treffers
In The Last Decade
Michael Gusenbauer
14 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Statistics, Probability and Uncertainty 213
- Health Informatics 39
- Business and International Management 39
- Information Systems and Management 115
- Management of Technology and Innovation 99
Countries citing papers authored by Michael Gusenbauer
This map shows the geographic impact of Michael Gusenbauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael Gusenbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Gusenbauer more than expected).
Fields of papers citing papers by Michael Gusenbauer
This network shows the impact of papers produced by Michael Gusenbauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Gusenbauer. The network helps show where Michael Gusenbauer may publish in the future.
Co-authors
The 9 scholars most cited alongside Michael Gusenbauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | Beyond Google Scholar, Scopus, and Web of Science: An evaluation of the backward and forward citation coverage of 59 databases' citation indices Hit paper breakdown → | 2024 | 43 |
| 3 | 2024 | 17 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 24 | |
| 7 | 2022 | 101 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2020 | 42 | |
| 12 | 2019 | 0 | |
| 13 | Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources Hit paper breakdown → | 2019 | 1319 |
| 14 | Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases Hit paper breakdown → | 2018 | 468 |
| 15 | 2018 | 84 |
About Michael Gusenbauer
Michael Gusenbauer is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management, General Decision Sciences, Applied Psychology and Information Systems, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (5 papers), Meta-analysis and systematic reviews (4 papers), Academic Publishing and Open Access (3 papers), Research Data Management Practices (2 papers), Corporate Finance and Governance (2 papers), Economic and Technological Innovation (1 paper), Sharing Economy and Platforms (1 paper) and Information Retrieval and Search Behavior (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (213 citations), Health Informatics (39 citations), Business and International Management (39 citations), Information Systems and Management (115 citations) and Management of Technology and Innovation (99 citations). Michael Gusenbauer has collaborated with scholars based in Austria, Germany and Sweden. Frequent co-authors include Neal Haddaway, Nina Rosenbusch, Isabella Hatak, Matthias Fink, Klaus E. Meyer, Julia Hautz, Kurt Matzler, Theresa Treffers and Michael Mayer. Their work appears in journals such as Research Synthesis Methods, Scientometrics, Technological Forecasting and Social Change, Family Business Review and Review of Managerial Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.