Jonas Gårding
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- Advanced Vision and Imaging 10
- Medical Image Segmentation Techniques 6
- Image Retrieval and Classification Techniques 5
- Image and Object Detection Techniques 3
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms 4
- Media Technology top 5%
- Aerospace Engineering top 10%
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- Advanced Radiotherapy Techniques 4
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- Medical Imaging Techniques and Applications 3
- Radiation Dose and Imaging 2
- Co-authors
- Tony LindebergJohn PorrillJ. E. W. MayhewJ. P. FrisbyJ. W. HopewellChrister LindquistW.T. MillarJohn P. Frisby
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignCognitive Neuroscience
- Journals
- Vision Research (3 papers)Image and Vision Computing (2 papers)Artificial Intelligence (1 paper)
- Partner nations
- SwedenUnited KingdomAustria
In The Last Decade
Jonas Gårding
18 papers receiving 539 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 336
- Computer Graphics and Computer-Aided Design 38
- Cognitive Neuroscience 175
- Media Technology 63
- Aerospace Engineering 101
Countries citing papers authored by Jonas Gårding
This map shows the geographic impact of Jonas Gårding'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 Jonas Gårding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Gårding more than expected).
Fields of papers citing papers by Jonas Gårding
This network shows the impact of papers produced by Jonas Gårding. 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 Jonas Gårding. The network helps show where Jonas Gårding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jonas Gårding, 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 | 2023 | 4 | |
| 2 | 2021 | 2 | |
| 3 | 2019 | 5 | |
| 4 | 2015 | 46 | |
| 5 | Application of the concept of biologically effective dose (BED) to patients with Vestibular Schwannomas treated by radiosurgery. | 2013 | 27 |
| 6 | 2002 | 1 | |
| 7 | 2002 | 9 | |
| 8 | 2002 | 36 | |
| 9 | 1999 | 8 | |
| 10 | Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D structure | 1997 | 22 |
| 11 | 1997 | 176 | |
| 12 | 1996 | 23 | |
| 13 | 1996 | 2 | |
| 14 | 1995 | 19 | |
| 15 | 1995 | 101 | |
| 16 | 1993 | 30 | |
| 17 | 1993 | 38 | |
| 18 | 1988 | 30 |
About Jonas Gårding
Jonas Gårding is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Radiation, having authored 18 papers that have together received 579 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers), Visual perception and processing mechanisms (4 papers), Advanced Radiotherapy Techniques (4 papers), Medical Imaging Techniques and Applications (3 papers), Image and Object Detection Techniques (3 papers) and Radiation Dose and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (336 citations), Computer Graphics and Computer-Aided Design (38 citations) and Cognitive Neuroscience (175 citations). Jonas Gårding has collaborated with scholars based in Sweden, United Kingdom and Austria. Frequent co-authors include Tony Lindeberg, John Porrill, J. E. W. Mayhew, J. P. Frisby, J. W. Hopewell, Christer Lindquist, W.T. Millar, John P. Frisby, David Buckley and Ian Paddick. Their work appears in journals such as Vision Research, Image and Vision Computing, Artificial Intelligence, Perception and Pattern Recognition Letters.
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.