Justin Johnson
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Aerospace Engineering
- Control and Systems Engineering
- Information Systems
- Co-authors
- Li Fei-FeiStephanie ChenOliver GrothYuke ZhuDavid A. ShammaKenji HataYannis KalantidisMichael S. Bernstein
- Topics
- Augmented Reality Applications (2 papers)Virtual Reality Applications and Impacts (2 papers)Human-Automation Interaction and Safety (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesSwitzerlandNetherlands
In The Last Decade
Justin Johnson
7 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 2.7k
- Artificial Intelligence 1.9k
- Aerospace Engineering 57
- Control and Systems Engineering 38
- Information Systems 38
Countries citing papers authored by Justin Johnson
This map shows the geographic impact of Justin 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 Justin Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Johnson more than expected).
Fields of papers citing papers by Justin Johnson
This network shows the impact of papers produced by Justin 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 Justin Johnson. The network helps show where Justin Johnson may publish in the future.
Co-authorship network of co-authors of Justin Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Johnson. A scholar is included among the top collaborators of Justin 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 Justin Johnson. Justin 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 | 3 | |
| 2 | 2 | |
| 3 | 66 | |
| 4 | Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotationsbreakdown → | 2950 |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 5 |
About Justin Johnson
Justin Johnson is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 7 papers that have together received 3.0k indexed citations. Recurring topics across this work include Augmented Reality Applications (2 papers), Virtual Reality Applications and Impacts (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Artificial Intelligence (1.9k citations) and Computer Graphics and Computer-Aided Design (37 citations). Justin Johnson has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Li Fei-Fei, Stephanie Chen, Oliver Groth, Yuke Zhu, David A. Shamma, Kenji Hata, Yannis Kalantidis, Michael S. Bernstein, Ranjay Krishna and Li-Jia Li. Their work appears in journals such as Inorganic Chemistry, International Journal of Computer Vision and Engineering Journal.
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.