Robert Wang

1.4k citations
16 papers · 445 · h-index 9

Impact in

Papers in

Robert Wang

15 papers receiving 437 citations

Peers

Robert Wang
Comparison fields: 5 of 52
  • Human-Computer Interaction 216
  • Computer Vision and Pattern Recognition 305
  • Cognitive Neuroscience 86
  • Control and Systems Engineering 72
  • Geology 10
Replace Shangchen Han with:
Shangchen Han United States
Tsz-Ho Yu United Kingdom
Loren Schwarz Germany
Emre Aksan Switzerland
Grégory Rogez Spain
Eyal Krupka Israel
Alon Vinnikov Israel
Beibei Liu China
Robert E. Bodenheimer United States
Robert Wang relative to Shangchen Han United States Shangchen Han's profile →
Citations per field
00.5×1.5×2.5×
Shangchen Han · 1×
Citations per year

Countries citing papers authored by Robert Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Robert Wang, 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 Robert Wang Line = papers co-authored together Robert Wang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2020132
2 202082
3 202280
4 201750
5 202024
6 202121
7 202217
8 202312
9 201111
10 20244
11 20174
12 20244
13 20232
14 20241
15 20241
16 20250

About Robert Wang

Robert Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Cognitive Neuroscience, Control and Systems Engineering and Computational Mechanics, 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), Hand Gesture Recognition Systems (4 papers), Tactile and Sensory Interactions (4 papers), 3D Shape Modeling and Analysis (2 papers), Robotics and Sensor-Based Localization (2 papers), Augmented Reality Applications (2 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (216 citations), Computer Vision and Pattern Recognition (305 citations), Cognitive Neuroscience (86 citations), Control and Systems Engineering (72 citations) and Geology (10 citations). Robert Wang has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include Shangchen Han, Christopher D. Twigg, Sina Honari, Edoardo Remelli, Pascal Fua, Dipika Singhania, Angela Yao, Fadime Şener, Kun He and Lingling Tao. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

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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