Gavin Ng

404 citations
15 papers · 300 · h-index 7

Impact in

Papers in

Gavin Ng

15 papers receiving 285 citations

Peers

Gavin Ng
Comparison fields: 5 of 85
  • Management of Technology and Innovation 72
  • Cognitive Neuroscience 99
  • Experimental and Cognitive Psychology 55
  • General Energy 3
  • Psychiatry and Mental health 41
Replace Claire Naughtin with:
Claire Naughtin Australia
Michelle Rowe Australia
James W. A. Strachan United Kingdom
Chris Carter United Kingdom
Stephen Rainey United Kingdom
Jyoti Kumar India
Uwe Kleinbeck Germany
Alina Huldtgren Germany
Lizzie Muller Australia
Runshi Wang China
Gavin Ng relative to Claire Naughtin Australia Claire Naughtin's profile →
Citations per field
00.5×10×14.4×
Claire Naughtin · 1×
Citations per year

Countries citing papers authored by Gavin Ng

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2003151
2 201682
3 202017
4 201714
5 201810
6 20158
7 20206
8 20153
9 20232
10 20202
11 20161
12 20211
13 20211
14 20051
15 20191

About Gavin Ng

Gavin Ng is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Molecular Biology and Information Systems, having authored 15 papers that have together received 300 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (6 papers), Visual perception and processing mechanisms (5 papers), Visual Attention and Saliency Detection (4 papers), Personal Information Management and User Behavior (2 papers), Visual and Cognitive Learning Processes (2 papers), Educational Strategies and Epistemologies (2 papers), Gaze Tracking and Assistive Technology (1 paper) and Decision-Making and Behavioral Economics (1 paper). The work is most often cited by research in Management of Technology and Innovation (72 citations), Cognitive Neuroscience (99 citations), Experimental and Cognitive Psychology (55 citations), General Energy (3 citations) and Psychiatry and Mental health (41 citations). Gavin Ng has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include Mihail C. Roco, Hsinchun Chen, Fei Guo, Zan Huang, Juan Zhou, Joanna Su Xian Chong, Simona Buetti, Alejandro Lleras, Stephen Wee Hun Lim and Tobias Tempel. Their work appears in journals such as Attention Perception & Psychophysics, Journal of Experimental Psychology Human Perception & Performance, Journal of Nanoparticle Research, Journal of Vision and Psychonomic Bulletin & Review.

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.

Explore authors with similar magnitude of impact