Gavin Ng

411 citations
15 papers · 316 · h-index 7

Impact in

Papers in

Gavin Ng

15 papers receiving 297 citations

Peers

Gavin Ng
Comparison fields: 5 of 81
  • Management of Technology and Innovation 74
  • Cognitive Neuroscience 94
  • Experimental and Cognitive Psychology 46
  • Psychiatry and Mental health 37
  • General Energy 3
Replace Michelle Rowe with:
Michelle Rowe Australia
Mark Wallis Australia
Stephen A. Zinkgraf United States
James W. A. Strachan United Kingdom
Lizzie Muller Australia
Giulio Mecacci Netherlands
Marcus Schweitzer Germany
James Brand United Kingdom
Enda McGovern United States
Debra Trampe Netherlands
Gavin Ng relative to Michelle Rowe Australia Michelle Rowe's profile →
Citations per field
00.5×5.7×
Michelle Rowe · 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 2003164
2 201683
3 202018
4 201714
5 201810
6 20158
7 20206
8 20153
9 20202
10 20212
11 20232
12 20161
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 316 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), Educational Strategies and Epistemologies (2 papers), Visual and Cognitive Learning Processes (2 papers), Personal Information Management and User Behavior (2 papers), Biomedical Text Mining and Ontologies (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Management of Technology and Innovation (74 citations), Cognitive Neuroscience (94 citations), Experimental and Cognitive Psychology (46 citations), Psychiatry and Mental health (37 citations) and General Energy (3 citations). Gavin Ng has collaborated with scholars based in United States, Singapore and Germany. Frequent co-authors include Zan Huang, Hsinchun Chen, Mihail C. Roco, Fei Guo, Joanna Su Xian Chong, Juan Zhou, Alejandro Lleras, Simona Buetti, 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 Vision, Frontiers in Psychology and The Journal of Experimental Education.

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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