Sebastian Stabinger
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Orthopedics and Sports Medicine
- Economics and Econometrics
- Signal Processing
- Co-authors
- Antonio Rodrı́guez-SánchezAlexander RietzlerGeorge AzzopardiChristian RaschnerJustus PiaterNora Hofer
- Topics
- Topic Modeling (4 papers)Adversarial Robustness in Machine Learning (3 papers)Advanced Neural Network Applications (3 papers)
- Cited by
- Artificial IntelligenceOrthopedics and Sports MedicineComputer Vision and Pattern Recognition
- Partner nations
- AustriaNetherlands
In The Last Decade
Sebastian Stabinger
13 papers receiving 108 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 61
- Computer Vision and Pattern Recognition 34
- Orthopedics and Sports Medicine 15
- Economics and Econometrics 11
- Signal Processing 10
Countries citing papers authored by Sebastian Stabinger
This map shows the geographic impact of Sebastian Stabinger'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 Sebastian Stabinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Stabinger more than expected).
Fields of papers citing papers by Sebastian Stabinger
This network shows the impact of papers produced by Sebastian Stabinger. 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 Sebastian Stabinger. The network helps show where Sebastian Stabinger may publish in the future.
Co-authorship network of co-authors of Sebastian Stabinger
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Stabinger. A scholar is included among the top collaborators of Sebastian Stabinger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sebastian Stabinger. Sebastian Stabinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 19 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification | 35 |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 2 |
About Sebastian Stabinger
Sebastian Stabinger is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Software, having authored 13 papers that have together received 114 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Artificial Intelligence (61 citations), Orthopedics and Sports Medicine (15 citations) and Computer Vision and Pattern Recognition (34 citations). Sebastian Stabinger has collaborated with scholars based in Austria and Netherlands. Frequent co-authors include Antonio Rodrı́guez-Sánchez, Alexander Rietzler, George Azzopardi, Christian Raschner, Justus Piater and Nora Hofer. Their work appears in journals such as Sensors, Pattern Recognition Letters and Language Resources and Evaluation.
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.