Michael Vössing

790 total citations
24 papers, 260 citations indexed

About

Michael Vössing is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Management Information Systems. According to data from OpenAlex, Michael Vössing has authored 24 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Management Information Systems. Recurrent topics in Michael Vössing's work include Big Data and Business Intelligence (5 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Ethics and Social Impacts of AI (4 papers). Michael Vössing is often cited by papers focused on Big Data and Business Intelligence (5 papers), Explainable Artificial Intelligence (XAI) (5 papers) and Ethics and Social Impacts of AI (4 papers). Michael Vössing collaborates with scholars based in Germany, Spain and Israel. Michael Vössing's co-authors include Gerhard Satzger, Niklas Kühl, Johannes Jakubik, Monika Westphal, Anat Rafaeli, Johan S. H. van Leeuwaarden, Shervin Haghsheno, Patrick Hemmer, Dominik Bär and Daniel Heinz and has published in prestigious journals such as Computers in Human Behavior, Journal of the Association for Information Systems and European Journal of Information Systems.

In The Last Decade

Michael Vössing

21 papers receiving 250 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Vössing Germany 9 104 51 38 34 31 24 260
Jonas Wanner Germany 10 100 1.0× 48 0.9× 30 0.8× 17 0.5× 62 2.0× 21 294
Lukas-Valentin Herm Germany 7 95 0.9× 43 0.8× 21 0.6× 15 0.4× 44 1.4× 12 238
Lingli Shu China 7 73 0.7× 17 0.3× 34 0.9× 43 1.3× 37 1.2× 11 310
Martin Cunneen Ireland 10 75 0.7× 108 2.1× 25 0.7× 59 1.7× 13 0.4× 20 318
Evanthia Faliagka Greece 6 72 0.7× 12 0.2× 31 0.8× 13 0.4× 14 0.5× 20 278
Visara Urovi Netherlands 9 163 1.6× 26 0.5× 15 0.4× 26 0.8× 36 1.2× 26 380
Marc Goutier Germany 6 74 0.7× 20 0.4× 16 0.4× 12 0.4× 24 0.8× 11 237
Rawan Abulibdeh Canada 4 61 0.6× 18 0.4× 11 0.3× 10 0.3× 19 0.6× 8 290
Andreas Sesing-Wagenpfeil Germany 2 226 2.2× 100 2.0× 17 0.4× 20 0.6× 23 0.7× 2 307
Daniel Agbaji United States 7 138 1.3× 46 0.9× 17 0.4× 5 0.1× 32 1.0× 10 300

Countries citing papers authored by Michael Vössing

Since Specialization
Citations

This map shows the geographic impact of Michael Vössing'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 Vössing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Vössing more than expected).

Fields of papers citing papers by Michael Vössing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Vössing. 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 Vössing. The network helps show where Michael Vössing may publish in the future.

Co-authorship network of co-authors of Michael Vössing

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Vössing. A scholar is included among the top collaborators of Michael Vössing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Vössing. Michael Vössing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vössing, Michael, et al.. (2025). Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information. Proceedings of the ACM on Human-Computer Interaction. 9(2). 1–28. 2 indexed citations
2.
Schemmer, Max, et al.. (2025). Complementarity in human-AI collaboration: concept, sources, and evidence. European Journal of Information Systems. 34(6). 979–1002. 6 indexed citations
3.
Jakubik, Johannes, et al.. (2025). AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. Journal of Artificial Intelligence Research. 82. 2 indexed citations
4.
Westphal, Monika, et al.. (2024). Towards Understanding AI Delegation: The Role of Self-Efficacy and Visual Processing Ability. ACM Transactions on Interactive Intelligent Systems. 15(1). 1–24. 2 indexed citations
5.
Jakubik, Johannes, et al.. (2024). Data-Centric Artificial Intelligence. Business & Information Systems Engineering. 66(4). 507–515. 37 indexed citations
6.
Westphal, Monika, Michael Vössing, Gerhard Satzger, Johan S. H. van Leeuwaarden, & Anat Rafaeli. (2023). Decision control and explanations in human-AI collaboration: Improving user perceptions and compliance. Computers in Human Behavior. 144. 107714–107714. 39 indexed citations
7.
Jakubik, Johannes, et al.. (2023). Sanitizing data for analysis: Designing systems for data understanding. Electronic Markets. 33(1). 5 indexed citations
8.
Hemmer, Patrick, et al.. (2023). Learning to Defer with Limited Expert Predictions. Proceedings of the AAAI Conference on Artificial Intelligence. 37(5). 6002–6011. 2 indexed citations
9.
Jakubik, Johannes, Michael Vössing, Nicolas Pröllochs, Dominik Bär, & Stefan Feuerriegel. (2023). Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. Proceedings of the International AAAI Conference on Web and Social Media. 17. 423–434. 11 indexed citations
10.
Jakubik, Johannes, Michał Muszyński, Michael Vössing, Niklas Kühl, & Thomas Brunschwiler. (2023). Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. 5638–5641. 1 indexed citations
11.
Vössing, Michael, et al.. (2022). Designing Transparency for Effective Human-AI Collaboration. Information Systems Frontiers. 24(3). 877–895. 68 indexed citations
12.
Jakubik, Johannes, et al.. (2022). Designing a Human-in-the-Loop System for Object Detection in Floor Plans. Proceedings of the AAAI Conference on Artificial Intelligence. 36(11). 12524–12530. 4 indexed citations
13.
Vössing, Michael, et al.. (2021). Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review. Journal of the Association for Information Systems. 78. 25 indexed citations
14.
Bach, M., Udo Schmidt, Patricia A. Muller, et al.. (2021). IBM Service Transformation: From product suppliers to service providers. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
15.
Heinz, Daniel, et al.. (2021). Conceptualizing Digital Resilience for AI-Based Information Systems. Journal of the Association for Information Systems. 10 indexed citations
16.
Vössing, Michael. (2019). Redesigning Service Operations for the Digital World: Towards Automated and Data-driven Field Service Planning. Journal of the Association for Information Systems. 2 indexed citations
17.
Vössing, Michael, et al.. (2019). DESIGNING USEFUL TRANSPARENCY TO IMPROVE PROCESS PERFORMANCE—EVIDENCE FROM AN AUTOMATED PRODUCTION LINE. Journal of the Association for Information Systems. 5 indexed citations
18.
Vössing, Michael, et al.. (2019). Building the Future of the Construction Industry through Artificial Intelligence and Platform Thinking. 3(4). 40–44. 17 indexed citations
19.
Vössing, Michael, et al.. (2018). USING MONTE-CARLO SIMULATION TO MEASURE THE BUSINESS-RELEVANT IMPACT OF PLANNING UNCERTAINTY ON FIELD SERVICE DELIVERY. 2018 Winter Simulation Conference (WSC). 3205–3216.
20.
Vössing, Michael, et al.. (2017). Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0. 131–136. 1 indexed citations

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.

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2026