Olivia Kang

816 citations
12 papers · 523 · h-index 9

Impact in

    • Neuroscience and Music Perception
    • Neural and Behavioral Psychology Studies
    • Psychology of Moral and Emotional Judgment
    • Neural dynamics and brain function
    • Face Recognition and Perception
    • Evolutionary Psychology and Human Behavior

Papers in

Olivia Kang

12 papers receiving 511 citations

Peers

Olivia Kang
Comparison fields: 5 of 85
  • Cognitive Neuroscience 333
  • Experimental and Cognitive Psychology 148
  • Social Psychology 154
  • Sensory Systems 34
  • Music 15
Replace Serena Mastria with:
Serena Mastria Italy
Yatin Mahajan Australia
Thomas Wehrle Switzerland
Aenne Brielmann Germany
Joanne Lumsden United Kingdom
Martin Tröndle Germany
Elke B. Lange Germany
Verena G. Skuk Germany
Piotr Francuz Poland
Sabrina Golonka United Kingdom
Olivia Kang relative to Serena Mastria Italy Serena Mastria's profile →
Citations per field
00.5×3.3×
Serena Mastria · 1×
Citations per year

Countries citing papers authored by Olivia Kang

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Olivia Kang, 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 Olivia Kang Line = papers co-authored together Olivia Kang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2012109
2 201499
3 201287
4 201252
5 201545
6 201744
7 202039
8 201623
9 20209
10 20197
11 20196
12
You say potato, I say tŭdòu: How speakers of different languages share the same concept.
20153

About Olivia Kang

Olivia Kang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Control and Systems Engineering and Signal Processing, having authored 12 papers that have together received 523 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (3 papers), Action Observation and Synchronization (3 papers), Neural dynamics and brain function (2 papers), Neural and Behavioral Psychology Studies (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Neuroscience and Music Perception (2 papers), Mineral Processing and Grinding (1 paper) and Linguistic Variation and Morphology (1 paper). The work is most often cited by research in Cognitive Neuroscience (333 citations), Experimental and Cognitive Psychology (148 citations), Social Psychology (154 citations), Sensory Systems (34 citations) and Music (15 citations). Olivia Kang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Thalia Wheatley, Kate Huffer, Christine E. Looser, Carolyn Parkinson, Konstantinos Tsetsos, Christopher Y. Olivola, Alexander Todorov, Abigail B. Sussman, Yuan Chang Leong and Kai Wang. Their work appears in journals such as Consciousness and Cognition, The Canadian Journal of Chemical Engineering, Music Perception An Interdisciplinary Journal, Cognitive Science and Journal of Cognitive Neuroscience.

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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