Michael Vössing

790 citations
24 papers · 260 · h-index 9

Impact in

Papers in

Michael Vössing

21 papers receiving 250 citations

Peers

Michael Vössing
Comparison fields: 5 of 69
  • Health Informatics 25
  • Safety Research 51
  • Management Information Systems 31
  • Artificial Intelligence 104
  • Management Science and Operations Research 38
Replace Jonas Wanner with:
Jonas Wanner Germany
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Michael Vössing relative to Jonas Wanner Germany Jonas Wanner's profile →
Citations per field
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Citations per year

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-authors

The 20 scholars most cited alongside Michael Vössing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Vössing Line = papers co-authored together Michael Vössing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202268
2 202339
3 202437
4
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review
202125
5 201917
6 202311
7 202210
8 202110
9 20179
10 20256
11
DESIGNING USEFUL TRANSPARENCY TO IMPROVE PROCESS PERFORMANCE—EVIDENCE FROM AN AUTOMATED PRODUCTION LINE
20195
12 20235
13 20224
14 20252
15 20242
16
Redesigning Service Operations for the Digital World: Towards Automated and Data-driven Field Service Planning
20192
17 20232
18 20252
19 20211
20 20231

About Michael Vössing

Michael Vössing is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Management Information Systems, Safety Research and Health Informatics, having authored 24 papers that have together received 260 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (5 papers), Explainable Artificial Intelligence (XAI) (5 papers), Ethics and Social Impacts of AI (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Flexible and Reconfigurable Manufacturing Systems (2 papers), Digital Transformation in Industry (2 papers) and Cognitive Science and Mapping (2 papers). The work is most often cited by research in Health Informatics (25 citations), Safety Research (51 citations), Management Information Systems (31 citations), Artificial Intelligence (104 citations) and Management Science and Operations Research (38 citations). Michael Vössing has collaborated with scholars based in Germany, Spain and Israel. Frequent co-authors include Gerhard Satzger, Niklas Kühl, Johannes Jakubik, Anat Rafaeli, Johan S. H. van Leeuwaarden, Monika Westphal, Shervin Haghsheno, Stefan Feuerriegel, Daniel Heinz and Dominik Bär. Their work appears in journals such as Journal of the Association for Information Systems, Information Systems Frontiers, Business & Information Systems Engineering, Journal of Artificial Intelligence Research and Proceedings of the ACM on Human-Computer Interaction.

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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