John E. Kiat

433 citations
31 papers · 288 · h-index 12

Impact in

Papers in

    • Neural and Behavioral Psychology Studies 15
    • Neural dynamics and brain function 9
    • Visual perception and processing mechanisms 7
    • Memory Processes and Influences 4
    • Face Recognition and Perception 4
    • EEG and Brain-Computer Interfaces 4
    • Functional Brain Connectivity Studies 4

John E. Kiat

28 papers receiving 281 citations

Peers

John E. Kiat
Comparison fields: 5 of 63
  • General Decision Sciences 15
  • Cognitive Neuroscience 137
  • Applied Psychology 24
  • Experimental and Cognitive Psychology 48
  • Social Psychology 65
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Citations per field
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Citations per year

Countries citing papers authored by John E. Kiat

Since Specialization
Citations

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

Fields of papers citing papers by John E. Kiat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Kiat. 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 John E. Kiat. The network helps show where John E. Kiat may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201536
2 201725
3 201019
4 202118
5 202417
6 202116
7 201413
8 202113
9 201613
10 201112
11 201711
12 201811
13 201710
14 20189
15 20219
16 20179
17 20178
18 20177
19 20216
20 20186

About John E. Kiat

John E. Kiat is a scholar working on Cognitive Neuroscience, Social Psychology, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Education, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (15 papers), Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (7 papers), Memory Processes and Influences (4 papers), Visual Attention and Saliency Detection (4 papers), Face Recognition and Perception (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in General Decision Sciences (15 citations), Cognitive Neuroscience (137 citations), Applied Psychology (24 citations), Experimental and Cognitive Psychology (48 citations) and Social Psychology (65 citations). John E. Kiat has collaborated with scholars based in United States, Malaysia and Singapore. Frequent co-authors include Jacob E. Cheadle, Steven J. Luck, Robert F. Belli, Bridget J. Goosby, Taylor R. Hayes, John M. Henderson, Julia Torquati, Anne R. Schutte, Albert K. Liau and Youyan Nie. Their work appears in journals such as Psychophysiology, Social Cognitive and Affective Neuroscience, International Journal of Psychophysiology, Attention Perception & Psychophysics and NeuroImage.

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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