Nam Vo

1.1k citations
9 papers · 477 indexed · h-index 7
Topics
Advanced Image and Video Retrieval Techniques (3 papers)Context-Aware Activity Recognition Systems (3 papers)Robot Manipulation and Learning (2 papers)
Journals
Applied Soft ComputingComputer Vision and Image UnderstandingSMARTech Repository (Georgia Institute of Technology)
Partner nations
United StatesSouth Korea

In The Last Decade

Nam Vo

9 papers receiving 460 citations

Peers

Nam Vo
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 340
  • Artificial Intelligence 149
  • Control and Systems Engineering 101
  • Social Psychology 65
  • Aerospace Engineering 28
Replace Gi Hyun Lim with:
Gi Hyun Lim Portugal
Tijn van der Zant Netherlands
Mary Koes United States
Felix Duvallet United States
Corey Lynch United States
Bernhard Jaeger Germany
Caroline Ponzoni Carvalho Chanel France
Tianmin Shu United States
Diego Tosato Italy
Xuan Tung Truong Vietnam
Nam Vo relative to Gi Hyun Lim Portugal Gi Hyun Lim's profile →
Citations per field
00.5×5.5×
Gi Hyun Lim · 1×
Citations per year

Countries citing papers authored by Nam Vo

Since Specialization
Citations

This map shows the geographic impact of Nam Vo'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 Nam Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam Vo more than expected).

Fields of papers citing papers by Nam Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nam Vo. 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 Nam Vo. The network helps show where Nam Vo may publish in the future.

Co-authorship network of co-authors of Nam Vo

This figure shows the co-authorship network connecting the top 25 collaborators of Nam Vo. A scholar is included among the top collaborators of Nam Vo 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 Nam Vo. Nam Vo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 14
2 221
3 15
4 58
5 5
6 45
7 57
8 60
9
Modeling structured activity to support human-robot collaboration in the presence of task and sensor uncertainty
2

About Nam Vo

Nam Vo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 9 papers that have together received 477 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (340 citations), Artificial Intelligence (149 citations) and Control and Systems Engineering (101 citations). Nam Vo has collaborated with scholars based in United States and South Korea. Frequent co-authors include James Hays, Aaron Bobick, Lu Jiang, Chen Sun, Li Fei-Fei, Kevin Murphy, Li-Jia Li, Nathan Jacobs and Jaehong Lee. Their work appears in journals such as Applied Soft Computing, Computer Vision and Image Understanding and SMARTech Repository (Georgia Institute of Technology).

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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