Jonas Gårding

997 citations
23 papers · 771 · h-index 15

Impact in

Papers in

    • Advanced Vision and Imaging 14
    • Medical Image Segmentation Techniques 6
    • Image Retrieval and Classification Techniques 5
    • Optical measurement and interference techniques 4
    • Image and Object Detection Techniques 4
    • Visual perception and processing mechanisms 6

Jonas Gårding

22 papers receiving 714 citations

Peers

Jonas Gårding
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 502
  • Computer Graphics and Computer-Aided Design 69
  • Cognitive Neuroscience 200
  • Media Technology 89
  • Aerospace Engineering 148
Replace J. H. Rieger with:
J. H. Rieger Germany
Oscar Nestares United States
Brandon M. Smith United States
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Kenichiro Tanaka Japan
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James M. Coggins United States
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997208
2 1995109
3 199460
4 201547
5 200242
6 199342
7 199333
8 198831
9 199229
10
Application of the concept of biologically effective dose (BED) to patients with Vestibular Schwannomas treated by radiosurgery.
201328
11
Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D structure
199727
12 199625
13 199423
14 199519
15 200217
16 19998
17 20196
18 20236
19 19964
20 19963

About Jonas Gårding

Jonas Gårding is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Radiation, Radiology, Nuclear Medicine and Imaging and Computer Graphics and Computer-Aided Design, having authored 23 papers that have together received 771 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (14 papers), Medical Image Segmentation Techniques (6 papers), Visual perception and processing mechanisms (6 papers), Image Retrieval and Classification Techniques (5 papers), Optical measurement and interference techniques (4 papers), Advanced Radiotherapy Techniques (4 papers), Image and Object Detection Techniques (4 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (502 citations), Computer Graphics and Computer-Aided Design (69 citations), Cognitive Neuroscience (200 citations), Media Technology (89 citations) and Aerospace Engineering (148 citations). Jonas Gårding has collaborated with scholars based in Sweden, United Kingdom and Austria. Frequent co-authors include Tony Lindeberg, John Porrill, J. P. Frisby, J. E. W. Mayhew, Christer Lindquist, W.T. Millar, J. W. Hopewell, John P. Frisby, David Buckley and Ian Paddick. Their work appears in journals such as Vision Research, Image and Vision Computing, Physics in Medicine and Biology, Perception and Anticancer Research.

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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