Daniel Steininger
Impact in
-
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
-
- Vehicle License Plate Recognition
Papers in
-
- Advanced Neural Network Applications 5
- Video Surveillance and Tracking Methods 1
- Multimodal Machine Learning Applications 1
-
- Robotics and Sensor-Based Localization 3
- Co-authors
- Csaba Beleznai (2 shared papers)Oliver Zendel (1 shared paper)Markus Murschitz (2 shared papers)Julia Simon (4 shared papers)Yohann Cabon (1 shared paper)Martin Humenberger (1 shared paper)Margrit Gelautz (1 shared paper)
- Journals
- PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (1 paper)SHILAP Revista de lepidopterología (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- AustriaSouth KoreaGermany
In The Last Decade
Daniel Steininger
7 papers receiving 144 citations
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 68
- Media Technology 23
- Geology 14
- Civil and Structural Engineering 43
- Environmental Engineering 27
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 7 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 | 2019 | 86 | |
| 2 | 2023 | 23 | |
| 3 | 2019 | 21 | |
| 4 | 2020 | 6 | |
| 5 | 2018 | 6 | |
| 6 | 2021 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2025 | 0 |
About Daniel Steininger
Daniel Steininger is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Molecular Biology and Civil and Structural Engineering, having authored 8 papers that have together received 148 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Robotics and Sensor-Based Localization (3 papers), Video Surveillance and Tracking Methods (1 paper), Hand Gesture Recognition Systems (1 paper), Forest Biomass Utilization and Management (1 paper), Multimodal Machine Learning Applications (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (68 citations), Media Technology (23 citations), Geology (14 citations), Civil and Structural Engineering (43 citations) and Environmental Engineering (27 citations). Daniel Steininger has collaborated with scholars based in Austria, South Korea and Germany. Frequent co-authors include Csaba Beleznai, Oliver Zendel, Markus Murschitz, Julia Simon, Yohann Cabon, Martin Humenberger and Margrit Gelautz. Their work appears in journals such as PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, SHILAP Revista de lepidopterología, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and arXiv (Cornell University).
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.