Andreas Leibetseder
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Surgery
- Biomedical Engineering
- Oncology
- Co-authors
- Klaus SchoeffmannBernd MünzerSabrina KletzJakub LokočJ. KecksteinStefan PetscharnigCathal GurrinWerner Bailer
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Multimodal Machine Learning Applications (9 papers)Video Analysis and Summarization (6 papers)
In The Last Decade
Andreas Leibetseder
20 papers receiving 252 citations
Peers
Comparison fields: 5 of 45
- Computer Vision and Pattern Recognition 205
- Artificial Intelligence 69
- Surgery 25
- Biomedical Engineering 20
- Oncology 13
Countries citing papers authored by Andreas Leibetseder
This map shows the geographic impact of Andreas Leibetseder'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 Andreas Leibetseder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Leibetseder more than expected).
Fields of papers citing papers by Andreas Leibetseder
This network shows the impact of papers produced by Andreas Leibetseder. 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 Andreas Leibetseder. The network helps show where Andreas Leibetseder may publish in the future.
Co-authorship network of co-authors of Andreas Leibetseder
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Leibetseder. A scholar is included among the top collaborators of Andreas Leibetseder 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 Andreas Leibetseder. Andreas Leibetseder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 40 | |
| 8 | 9 | |
| 9 | 9 | |
| 10 | 59 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 5 | |
| 15 | 31 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | Gamifying Fitness or Fitnessifying Games: a Comparative Study. | 1 |
| 19 | 6 | |
| 20 | 1 |
About Andreas Leibetseder
Andreas Leibetseder is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 20 papers that have together received 259 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Multimodal Machine Learning Applications (9 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (205 citations), Artificial Intelligence (69 citations) and Human-Computer Interaction (11 citations). Andreas Leibetseder has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Klaus Schoeffmann, Bernd Münzer, Sabrina Kletz, Jakub Lokoč, J. Keckstein, Stefan Petscharnig, Cathal Gurrin, Werner Bailer, Aaron Duane and Wolfgang Hürst. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Multimedia and Multimedia Tools and Applications.
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.