Markus Murschitz
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
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- Autonomous Vehicle Technology and Safety
Papers in
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- Advanced Vision and Imaging 6
- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 3
- Human Pose and Action Recognition 2
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Oliver Zendel (10 shared papers)Daniel Steininger (3 shared papers)Martin Humenberger (4 shared papers)Katrin Honauer (2 shared papers)Csaba Beleznai (5 shared papers)Josef Maier (1 shared paper)Markus Vincze (1 shared paper)Julia Simon (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Lecture notes in computer science (3 papers)International Journal of Semantic Computing (1 paper)ArXiv.org (1 paper)IEEE Conference Proceedings (1 paper)
In The Last Decade
Markus Murschitz
11 papers receiving 369 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 245
- Automotive Engineering 52
- Media Technology 37
- Artificial Intelligence 130
- Health Informatics 4
Countries citing papers authored by Markus Murschitz
This map shows the geographic impact of Markus Murschitz'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 Markus Murschitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Murschitz more than expected).
Fields of papers citing papers by Markus Murschitz
This network shows the impact of papers produced by Markus Murschitz. 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 Markus Murschitz. The network helps show where Markus Murschitz may publish in the future.
Co-authors
The 9 scholars most cited alongside Markus Murschitz, 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 | 2018 | 115 | |
| 2 | 2019 | 103 | |
| 3 | 2022 | 38 | |
| 4 | 2017 | 37 | |
| 5 | 2016 | 33 | |
| 6 | 2015 | 30 | |
| 7 | 2017 | 18 | |
| 8 | 2013 | 4 | |
| 9 | VITRO - Vision-Testing for Robustness. | 2014 | 1 |
| 10 | 2025 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2023 | 0 | |
| 14 | 2022 | 0 |
About Markus Murschitz
Markus Murschitz is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Automotive Engineering, Media Technology and Software, having authored 14 papers that have together received 381 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Advanced Neural Network Applications (6 papers), Robotics and Sensor-Based Localization (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Autonomous Vehicle Technology and Safety (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Human Pose and Action Recognition (2 papers) and Software Testing and Debugging Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (245 citations), Automotive Engineering (52 citations), Media Technology (37 citations), Artificial Intelligence (130 citations) and Health Informatics (4 citations). Markus Murschitz has collaborated with scholars based in Austria and Germany. Frequent co-authors include Oliver Zendel, Daniel Steininger, Martin Humenberger, Katrin Honauer, Csaba Beleznai, Josef Maier, Markus Vincze, Julia Simon and Margrit Gelautz. Their work appears in journals such as International Journal of Computer Vision, Lecture notes in computer science, International Journal of Semantic Computing, ArXiv.org and IEEE Conference Proceedings.
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.