Tobias Gass
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Surgery
- Artificial Intelligence
- Co-authors
- Orçun GökselGábor SzékelyChristine TannerValery VishnevskiyHermann NeyPhilippe DreuwThomas DeselaersTomasz Morgaś
- Topics
- Medical Image Segmentation Techniques (9 papers)Medical Imaging Techniques and Applications (6 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Medical ImagingPattern Recognition
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Tobias Gass
21 papers receiving 425 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 175
- Radiology, Nuclear Medicine and Imaging 153
- Biomedical Engineering 99
- Surgery 74
- Artificial Intelligence 51
Countries citing papers authored by Tobias Gass
This map shows the geographic impact of Tobias Gass'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 Tobias Gass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Gass more than expected).
Fields of papers citing papers by Tobias Gass
This network shows the impact of papers produced by Tobias Gass. 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 Tobias Gass. The network helps show where Tobias Gass may publish in the future.
Co-authorship network of co-authors of Tobias Gass
This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Gass. A scholar is included among the top collaborators of Tobias Gass 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 Tobias Gass. Tobias Gass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 35 | |
| 3 | 11 | |
| 4 | 20 | |
| 5 | 136 | |
| 6 | 33 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | Segmentation and Landmark Localization Based on Multiple Atlases | 5 |
| 10 | 26 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 15 | |
| 15 | 7 | |
| 16 | 29 | |
| 17 | 6 | |
| 18 | 46 | |
| 19 | FIRE in ImageCLEF 2007. | 1 |
| 20 | Performing Image Classification with a Frequency-based Information Retrieval Schema for ImageCLEF 2006. | 2 |
About Tobias Gass
Tobias Gass is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 21 papers that have together received 437 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Radiology, Nuclear Medicine and Imaging (153 citations) and Radiation (50 citations). Tobias Gass has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Orçun Göksel, Gábor Székely, Christine Tanner, Valery Vishnevskiy, Hermann Ney, Philippe Dreuw, Thomas Deselaers, Tomasz Morgaś, Michael Schwier and Marcel Lüthi. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.