Jonas Gårding

1.3k citations
25 papers · 995 · h-index 17

Impact in

Papers in

Jonas Gårding

24 papers receiving 938 citations

Peers

Jonas Gårding
Comparison fields: 5 of 50
  • Computer Vision and Pattern Recognition 616
  • Computer Graphics and Computer-Aided Design 92
  • Cognitive Neuroscience 238
  • Radiation 45
  • Media Technology 31
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Daniel Fritsch United States
Steffen Oeltze‐Jafra Germany
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Citations per field
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Citations per year

Countries citing papers authored by Jonas Gårding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jonas Gårding Line = papers co-authored together Jonas Gårding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997210
2 1996113
3 1995108
4 199299
5 199463
6 201551
7 200242
8 199341
9 199333
10 198831
11
Application of the concept of biologically effective dose (BED) to patients with Vestibular Schwannomas treated by radiosurgery.
201331
12 199228
13
Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D structure
199727
14 199625
15 199423
16 199519
17 200219
18 19998
19 20197
20 20236

About Jonas Gårding

Jonas Gårding is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Computational Mechanics and Radiation, having authored 25 papers that have together received 995 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Computer Graphics and Visualization Techniques (9 papers), Visual perception and processing mechanisms (7 papers), 3D Shape Modeling and Analysis (6 papers), Advanced Radiotherapy Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers), Surface Roughness and Optical Measurements (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (616 citations), Computer Graphics and Computer-Aided Design (92 citations), Cognitive Neuroscience (238 citations), Radiation (45 citations) and Media Technology (31 citations). Jonas Gårding has collaborated with scholars based in Sweden, United Kingdom and Australia. Frequent co-authors include Tony Lindeberg, John Porrill, J. P. Frisby, J. E. W. Mayhew, J. W. Hopewell, Christer Lindquist, William T. Millar, John P. Frisby, Ian Paddick and David Buckley. Their work appears in journals such as Vision Research, Image and Vision Computing, International Journal of Computer Vision, Artificial Intelligence and Journal of Mathematical Imaging and Vision.

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.

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