G. Woo

895 citations
18 papers · 675 indexed · h-index 12

Impact in

Papers in

G. Woo

18 papers receiving 646 citations

Peers

G. Woo
Comparison fields: 5 of 55
  • Nuclear and High Energy Physics 193
  • Media Technology 108
  • Human-Computer Interaction 58
  • Statistical and Nonlinear Physics 117
  • Computer Vision and Pattern Recognition 132
Replace Daliang Li with:
Daliang Li United States
Kohei Inoue Japan
Christian Schmid Germany
T. Hashimoto Japan
J. Alspector United States
Jayne Thompson Singapore
Ankur Agrawal United States
Jean Martinet France
J.G. Koller United States
Charles N. Judice United States
G. Woo relative to Daliang Li United States Daliang Li's profile →
Citations per field
00.5×11.6×
Daliang Li · 1×
Citations per year

Countries citing papers authored by G. Woo

Since Specialization
Citations

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

Fields of papers citing papers by G. Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside G. Woo, 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 G. Woo Line = papers co-authored together G. Woo links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20251
2 201270
3 200959
4 200950
5
Simple LCD Transmitter Camera Receiver Data Link
20092
6 200995
7 2007105
8 19772
9 197713
10 197746
11 19762
12 197628
13 197653
14 197513
15 197566
16 19753
17 197464
18 19733

About G. Woo

G. Woo is a scholar working on Nuclear and High Energy Physics, Algebra and Number Theory, Statistical and Nonlinear Physics, Geometry and Topology and Numerical Analysis, having authored 18 papers that have together received 675 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (7 papers), Particle physics theoretical and experimental studies (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Power Line Communications and Noise (2 papers), Cosmology and Gravitation Theories (2 papers), QR Code Applications and Technologies (2 papers) and Nonlinear Waves and Solitons (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (193 citations), Media Technology (108 citations), Human-Computer Interaction (58 citations), Statistical and Nonlinear Physics (117 citations) and Computer Vision and Pattern Recognition (132 citations). G. Woo has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Ramesh Raskar, E. T. Tomboulis, R. Jackiw, Alan Macfarlane, Ankit Mohan, Shinsaku Hiura, Quinn Smithwick, Dina Katabi, Pouya Kheradpour and Junyu Wang. Their work appears in journals such as Nuclear Physics B, ACM Transactions on Graphics, Advanced Materials, Annals of Physics and Journal of Mathematical Physics.

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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