Mario Taschwer
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Oncology
- Artificial Intelligence
- Surgery
- Co-authors
- Klaus SchoeffmannMathias LuxStephanie SarnyBernd MünzerPål HalvorsenThomas de LangeDag JohansenMichael A. Riegler
- Topics
- Image Retrieval and Classification Techniques (9 papers)Video Analysis and Summarization (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Partner nations
- AustriaUnited StatesSwitzerland
In The Last Decade
Mario Taschwer
19 papers receiving 182 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 110
- Radiology, Nuclear Medicine and Imaging 50
- Oncology 34
- Artificial Intelligence 34
- Surgery 27
Countries citing papers authored by Mario Taschwer
This map shows the geographic impact of Mario Taschwer'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 Mario Taschwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Taschwer more than expected).
Fields of papers citing papers by Mario Taschwer
This network shows the impact of papers produced by Mario Taschwer. 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 Mario Taschwer. The network helps show where Mario Taschwer may publish in the future.
Co-authorship network of co-authors of Mario Taschwer
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Taschwer. A scholar is included among the top collaborators of Mario Taschwer 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 Mario Taschwer. Mario Taschwer 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 | 5 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | Early and Late Fusion of Classifiers for the MediaEval Medico Task. | 2 |
| 9 | 40 | |
| 10 | 50 | |
| 11 | AAUITEC at ImageCLEF 2015: Compound Figure Separation. | 1 |
| 12 | Text-Based Medical Case Retrieval Using MeSH Ontology. | 1 |
| 13 | ITEC-UNIKLU Known-Item Search Submission 2012. | 1 |
| 14 | 8 | |
| 15 | 2 | |
| 16 | ITEC-UNIKLU Known-Item Search Submission. | 2 |
| 17 | 34 | |
| 18 | 5 | |
| 19 | 15 | |
| 20 | 2 |
About Mario Taschwer
Mario Taschwer is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Public Administration, having authored 20 papers that have together received 196 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Video Analysis and Summarization (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (110 citations), Health Informatics (4 citations) and Radiology, Nuclear Medicine and Imaging (50 citations). Mario Taschwer has collaborated with scholars based in Austria, United States and Switzerland. Frequent co-authors include Klaus Schoeffmann, Mathias Lux, Stephanie Sarny, Bernd Münzer, Pål Halvorsen, Thomas de Lange, Dag Johansen, Michael A. Riegler, Kristin Ranheim Randel and Sigrun Losada Eskeland. Their work appears in journals such as PLoS ONE, West European Politics and Journal of European Social Policy.
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.