Garrett Johnson
- Computer Vision and Pattern Recognition top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Media Technology top 2%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Co-authors
- Mark D. FairchildJiangtao KuangHiroshi YamaguchiErik ReinhardAhmet Oğuz AkyüzErum Arif KhanChangmeng LiuEthan D. Montag
- Topics
- Color Science and Applications (30 papers)Image Enhancement Techniques (17 papers)Color perception and design (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Garrett Johnson
45 papers receiving 961 citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 802
- Atomic and Molecular Physics, and Optics 534
- Media Technology 239
- Cognitive Neuroscience 151
- Social Psychology 112
Countries citing papers authored by Garrett Johnson
This map shows the geographic impact of Garrett Johnson'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 Garrett Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garrett Johnson more than expected).
Fields of papers citing papers by Garrett Johnson
This network shows the impact of papers produced by Garrett Johnson. 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 Garrett Johnson. The network helps show where Garrett Johnson may publish in the future.
Co-authorship network of co-authors of Garrett Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Garrett Johnson. A scholar is included among the top collaborators of Garrett Johnson 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 Garrett Johnson. Garrett Johnson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 35 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 58 | |
| 12 | Statistical Summaries of iCAM Image-Difference Maps. | 2 |
| 13 | 41 | |
| 14 | 3 | |
| 15 | 54 | |
| 16 | On Contrast Sensitivity in an Image Difference Model. | 25 |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 12 | |
| 20 | Observations of phytoplankton dynamics in Lake Ontario using ATSR-2 imagery | 0 |
About Garrett Johnson
Garrett Johnson is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Color Science and Applications (30 papers), Image Enhancement Techniques (17 papers) and Color perception and design (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (802 citations), Computer Graphics and Computer-Aided Design (107 citations) and Media Technology (239 citations). Garrett Johnson has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Mark D. Fairchild, Jiangtao Kuang, Hiroshi Yamaguchi, Erik Reinhard, Ahmet Oğuz Akyüz, Erum Arif Khan, Changmeng Liu, Ethan D. Montag, Michael Ashikhmin and Steve Marschner. Their work appears in journals such as BMC Health Services Research, IEEE Sensors Journal and JACC: Cardiovascular Interventions.
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.