Michael Vössing

925 citations
36 papers · 388 · h-index 10

Impact in

Papers in

Michael Vössing

30 papers receiving 374 citations

Peers

Michael Vössing
Comparison fields: 5 of 74
  • Health Informatics 25
  • Safety Research 68
  • Industrial and Manufacturing Engineering 50
  • Management Information Systems 44
  • Artificial Intelligence 124
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Jonas Wanner Germany
Lukas-Valentin Herm Germany
Visara Urovi Netherlands
Marc Goutier Germany
Evanthia Faliagka Greece
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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 25 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202295
2 202352
3 202445
4
Human-AI Complementarity in Hybrid Intelligence Systems: A Structured Literature Review
202129
5 201924
6 202518
7 202313
8 202212
9 201712
10 202111
11 20188
12 20237
13 20246
14
DESIGNING USEFUL TRANSPARENCY TO IMPROVE PROCESS PERFORMANCE—EVIDENCE FROM AN AUTOMATED PRODUCTION LINE
20196
15 20256
16 20235
17 20185
18 20254
19 20244
20 20224

About Michael Vössing

Michael Vössing is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering, Management Information Systems, Safety Research and Marketing, having authored 36 papers that have together received 388 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (6 papers), Digital Transformation in Industry (5 papers), Big Data and Business Intelligence (5 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Quality and Supply Management (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (25 citations), Safety Research (68 citations), Industrial and Manufacturing Engineering (50 citations), Management Information Systems (44 citations) and Artificial Intelligence (124 citations). Michael Vössing has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Gerhard Satzger, Niklas Kühl, Johannes Jakubik, Max Schemmer, Monika Westphal, Anat Rafaeli, Shervin Haghsheno, Max Schemmer, Nicolas Pröllochs and Dominik Bär. Their work appears in journals such as Journal of the Association for Information Systems, Electronic Markets, ACM Transactions on Interactive Intelligent Systems, Proceedings of the ACM on Human-Computer Interaction and European Journal of Information Systems.

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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