Mario Lorenz
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts 17
- Interactive and Immersive Displays 5
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- Augmented Reality Applications 11
- Social Psychology top 10%
- Human-Automation Interaction and Safety 3
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- Orthopaedic implants and arthroplasty 5
- Surgical Simulation and Training 4
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- Teleoperation and Haptic Systems 5
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- Soft Robotics and Applications 4
- Co-authors
- Philipp KlimantNiels HammerManfred TscheligiMarc BuschGuido BrunnettChristoph‐E. HeydeVolker WittstockJisu Kim
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- PLoS ONE (1 paper)Scientific Reports (3 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)
- Partner nations
- GermanyAustriaNew Zealand
In The Last Decade
Mario Lorenz
32 papers receiving 501 citations
Peers
Comparison fields: 5 of 86
- Human-Computer Interaction 309
- Computer Vision and Pattern Recognition 198
- Industrial and Manufacturing Engineering 51
- Geology 27
- Social Psychology 85
Countries citing papers authored by Mario Lorenz
This map shows the geographic impact of Mario Lorenz'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 Mario Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Lorenz more than expected).
Fields of papers citing papers by Mario Lorenz
This network shows the impact of papers produced by Mario Lorenz. 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 Mario Lorenz. The network helps show where Mario Lorenz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Lorenz, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 29 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 10 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 48 | |
| 13 | 2018 | 22 | |
| 14 | 2018 | 13 | |
| 15 | 2017 | 102 | |
| 16 | 2016 | 45 | |
| 17 | 2006 | 3 | |
| 18 | 2006 | 31 | |
| 19 | 2006 | 32 | |
| 20 | Virtualiti3D (V3D): A SYSTEM-INDEPENDENT, REAL TIME-ANIMATED, THREE- DIMENSIONAL GRAPHICAL USER INTERFACE | 2003 | 3 |
About Mario Lorenz
Mario Lorenz is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 528 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (17 papers), Augmented Reality Applications (11 papers), Orthopaedic implants and arthroplasty (5 papers), Teleoperation and Haptic Systems (5 papers), Interactive and Immersive Displays (5 papers), Surgical Simulation and Training (4 papers), Soft Robotics and Applications (4 papers) and Human-Automation Interaction and Safety (3 papers). The work is most often cited by research in Human-Computer Interaction (309 citations), Computer Vision and Pattern Recognition (198 citations) and Industrial and Manufacturing Engineering (51 citations). Mario Lorenz has collaborated with scholars based in Germany, Austria and New Zealand. Frequent co-authors include Philipp Klimant, Niels Hammer, Manfred Tscheligi, Marc Busch, Guido Brunnett, Christoph‐E. Heyde, Volker Wittstock, Jisu Kim, Gabriel Zachmann and Trenton Schulz. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Visualization and Computer Graphics.
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.