Robert Wang
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Cognitive Neuroscience
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Shangchen HanChristopher D. TwiggEdoardo RemelliPascal FuaSina HonariFadime ŞenerAngela YaoKun He
- Topics
- Human Pose and Action Recognition (6 papers)Advanced Vision and Imaging (5 papers)Tactile and Sensory Interactions (4 papers)
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Visualization and Computer Graphics2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- United StatesAustriaIsrael
In The Last Decade
Robert Wang
15 papers receiving 437 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 305
- Human-Computer Interaction 216
- Cognitive Neuroscience 86
- Control and Systems Engineering 72
- Artificial Intelligence 47
Countries citing papers authored by Robert Wang
This map shows the geographic impact of Robert Wang'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 Robert Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Wang more than expected).
Fields of papers citing papers by Robert Wang
This network shows the impact of papers produced by Robert Wang. 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 Robert Wang. The network helps show where Robert Wang may publish in the future.
Co-authorship network of co-authors of Robert Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Robert Wang. A scholar is included among the top collaborators of Robert Wang 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 Robert Wang. Robert Wang 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 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 80 | |
| 9 | 17 | |
| 10 | 21 | |
| 11 | 24 | |
| 12 | 132 | |
| 13 | 82 | |
| 14 | 50 | |
| 15 | 4 | |
| 16 | 11 |
About Robert Wang
Robert Wang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 16 papers that have together received 445 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Advanced Vision and Imaging (5 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Human-Computer Interaction (216 citations), Computer Vision and Pattern Recognition (305 citations) and Cognitive Neuroscience (86 citations). Robert Wang has collaborated with scholars based in United States, Austria and Israel. Frequent co-authors include Shangchen Han, Christopher D. Twigg, Edoardo Remelli, Pascal Fua, Sina Honari, Fadime Şener, Angela Yao, Kun He, Dipika Singhania and Lingling Tao. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.