Jan Jöhnk
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Big Data and Business Intelligence
Papers in ⓘ
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- Big Data and Business Intelligence 3
- Information Technology Governance and Strategy 3
- Business Process Modeling and Analysis 2
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- Digital Platforms and Economics 2
- Co-authors
- Katrin Wyrtki (1 shared paper)Nils Urbach (9 shared papers)Christoph Buck (2 shared papers)Torsten Eymann (1 shared paper)Maximilian Röglinger (1 shared paper)Till J. Winkler (1 shared paper)Jacob Nørbjerg (1 shared paper)Tobias Guggenberger (1 shared paper)
In The Last Decade
Jan Jöhnk
15 papers receiving 426 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Health Informatics 69
- Management Information Systems 155
- Industrial and Manufacturing Engineering 82
- Information Systems and Management 50
- Safety Research 44
Countries citing papers authored by Jan Jöhnk
This map shows the geographic impact of Jan Jöhnk'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 Jan Jöhnk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Jöhnk more than expected).
Fields of papers citing papers by Jan Jöhnk
This network shows the impact of papers produced by Jan Jöhnk. 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 Jan Jöhnk. The network helps show where Jan Jöhnk may publish in the future.
Co-authors
The 17 scholars most cited alongside Jan Jöhnk, 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 | Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors Hit paper breakdown → | 2020 | 246 |
| 2 | 2022 | 76 | |
| 3 | 2022 | 29 | |
| 4 | HOW TO IMPLEMENT AGILE IT SETUPS: A TAXONOMY OF DESIGN OPTIONS | 2017 | 27 |
| 5 | 2022 | 25 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 10 | |
| 8 | Juggling the Paradoxes : Governance Mechanisms in Bimodal IT Organizations | 2019 | 9 |
| 9 | The Rise of the Machines: Conceptualizing the Machine Economy | 2021 | 4 |
| 10 | 2020 | 4 | |
| 11 | Disentangling the Concept and Role of Continuous Change for IS Research – A Systematic Literature Review | 2019 | 2 |
| 12 | 2020 | 2 | |
| 13 | 2025 | 1 | |
| 14 | 2024 | 1 | |
| 15 | Everything Is IT, but IT Is Not Everything – What Incumbents Do to Manage Their Digital Transformation Towards Continuous Change | 2021 | 1 |
About Jan Jöhnk
Jan Jöhnk is a scholar working on Management Information Systems, Strategy and Management, Sociology and Political Science, Information Systems and Information Systems and Management, having authored 15 papers that have together received 449 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (3 papers), Information Technology Governance and Strategy (3 papers), Technology Adoption and User Behaviour (2 papers), Information Systems Theories and Implementation (2 papers), Blockchain Technology Applications and Security (2 papers), Digital Transformation in Industry (2 papers), Digital Platforms and Economics (2 papers) and Business Process Modeling and Analysis (2 papers). The work is most often cited by research in Health Informatics (69 citations), Management Information Systems (155 citations), Industrial and Manufacturing Engineering (82 citations), Information Systems and Management (50 citations) and Safety Research (44 citations). Jan Jöhnk has collaborated with scholars based in Germany, Australia and Denmark. Frequent co-authors include Katrin Wyrtki, Nils Urbach, Christoph Buck, Torsten Eymann, Maximilian Röglinger, Till J. Winkler, Jacob Nørbjerg, Tobias Guggenberger, Tobias Albrecht and Xin Yu. Their work appears in journals such as Journal of the Association for Information Systems, Electronic Markets, Information Systems Research, Information Systems Frontiers and Business & Information Systems Engineering.
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.