Daniel Steininger
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Media Technology top 10%
Papers in
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- Advanced Neural Network Applications 8
- Human Pose and Action Recognition 2
- Video Surveillance and Tracking Methods 2
- Multimodal Machine Learning Applications 1
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Oliver Zendel (3 shared papers)Markus Murschitz (3 shared papers)Katrin Honauer (1 shared paper)Csaba Beleznai (3 shared papers)Julia Simon (5 shared papers)Martin Humenberger (1 shared paper)Margrit Gelautz (1 shared paper)Yohann Cabon (1 shared paper)
- Journals
- PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (1 paper)Lecture notes in computer science (2 papers)Studies in computational intelligence (1 paper)ArXiv.org (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- AustriaGermanySouth Korea
In The Last Decade
Daniel Steininger
11 papers receiving 288 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 169
- Media Technology 29
- Geology 18
- Automotive Engineering 35
- Civil and Structural Engineering 56
Countries citing papers authored by Daniel Steininger
This map shows the geographic impact of Daniel Steininger'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 Daniel Steininger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Steininger more than expected).
Fields of papers citing papers by Daniel Steininger
This network shows the impact of papers produced by Daniel Steininger. 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 Daniel Steininger. The network helps show where Daniel Steininger may publish in the future.
Co-authors
The 9 scholars most cited alongside Daniel Steininger, 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 | 2023 | 26 | |
| 4 | 2019 | 23 | |
| 5 | 2020 | 7 | |
| 6 | 2018 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 1 |
About Daniel Steininger
Daniel Steininger is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Molecular Biology and Automotive Engineering, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Robotics and Sensor-Based Localization (3 papers), Human Pose and Action Recognition (2 papers), Video Surveillance and Tracking Methods (2 papers), Hand Gesture Recognition Systems (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Multimodal Machine Learning Applications (1 paper) and Infrastructure Maintenance and Monitoring (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (169 citations), Media Technology (29 citations), Geology (18 citations), Automotive Engineering (35 citations) and Civil and Structural Engineering (56 citations). Daniel Steininger has collaborated with scholars based in Austria, Germany and South Korea. Frequent co-authors include Oliver Zendel, Markus Murschitz, Katrin Honauer, Csaba Beleznai, Julia Simon, Martin Humenberger, Margrit Gelautz, Yohann Cabon and Christoph Sulzbachner. Their work appears in journals such as PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, Lecture notes in computer science, Studies in computational intelligence, ArXiv.org and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.