Hee Yeon Im

602 total citations
31 papers, 375 citations indexed

About

Hee Yeon Im is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hee Yeon Im has authored 31 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 7 papers in Social Psychology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hee Yeon Im's work include Face Recognition and Perception (13 papers), Neural and Behavioral Psychology Studies (12 papers) and Visual perception and processing mechanisms (11 papers). Hee Yeon Im is often cited by papers focused on Face Recognition and Perception (13 papers), Neural and Behavioral Psychology Studies (12 papers) and Visual perception and processing mechanisms (11 papers). Hee Yeon Im collaborates with scholars based in United States, Canada and South Korea. Hee Yeon Im's co-authors include Justin Halberda, Sang Chul Chong, Kestutis Kveraga, Reginald B. Adams, Noreen Ward, Daniel N. Albohn, Troy G. Steiner, Sheng-hua Zhong, Patrick Bédard and Joo‐Hyun Song and has published in prestigious journals such as Scientific Reports, Neuroscience & Biobehavioral Reviews and Experimental Brain Research.

In The Last Decade

Hee Yeon Im

28 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hee Yeon Im United States 13 322 95 67 45 38 31 375
Jennifer E. Corbett United States 12 437 1.4× 130 1.4× 83 1.2× 40 0.9× 70 1.8× 26 479
Jongsoo Baek South Korea 9 206 0.6× 65 0.7× 37 0.6× 13 0.3× 49 1.3× 16 270
Pascale Lidji Canada 8 309 1.0× 209 2.2× 65 1.0× 73 1.6× 15 0.4× 16 368
Michele Vicovaro Italy 12 241 0.7× 96 1.0× 112 1.7× 65 1.4× 24 0.6× 42 351
Weizhi Nan China 10 154 0.5× 54 0.6× 33 0.5× 37 0.8× 8 0.2× 28 220
Ben Bauer Canada 11 381 1.2× 152 1.6× 112 1.7× 17 0.4× 123 3.2× 15 489
Jean McConnell United Kingdom 10 384 1.2× 206 2.2× 72 1.1× 43 1.0× 15 0.4× 12 506
Olivia Ladinig Netherlands 9 598 1.9× 184 1.9× 133 2.0× 22 0.5× 43 1.1× 15 695
Linus Holm Sweden 9 266 0.8× 69 0.7× 55 0.8× 23 0.5× 54 1.4× 20 350
Herbert Hagendorf Germany 12 292 0.9× 85 0.9× 42 0.6× 16 0.4× 11 0.3× 26 353

Countries citing papers authored by Hee Yeon Im

Since Specialization
Citations

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

Fields of papers citing papers by Hee Yeon Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Yeon Im. 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 Hee Yeon Im. The network helps show where Hee Yeon Im may publish in the future.

Co-authorship network of co-authors of Hee Yeon Im

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Yeon Im. A scholar is included among the top collaborators of Hee Yeon Im based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hee Yeon Im. Hee Yeon Im is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Im, Hee Yeon, et al.. (2025). Large-scale functional networks underlying visual attention. Neuroscience & Biobehavioral Reviews. 173. 106165–106165. 1 indexed citations
2.
Im, Hee Yeon, et al.. (2023). The effect of masks on the emotion perception of a facial crowd. Scientific Reports. 13(1). 14274–14274. 1 indexed citations
3.
Im, Hee Yeon, et al.. (2023). Americans weigh an attended emotion more than Koreans in overall mood judgments. Scientific Reports. 13(1). 19323–19323. 2 indexed citations
4.
Giaschi, Deborah, et al.. (2023). Developmental characteristics of visuomotor adaptation strategies in childhood. Journal of Vision. 23(9). 5966–5966.
5.
Im, Hee Yeon, et al.. (2021). Differential neurodynamics and connectivity in the dorsal and ventral visual pathways during perception of emotional crowds and individuals: a MEG study. Cognitive Affective & Behavioral Neuroscience. 21(4). 776–792. 13 indexed citations
6.
Im, Hee Yeon, et al.. (2020). An explicit investigation of the roles that feature distributions play in rapid visual categorization. Attention Perception & Psychophysics. 83(3). 1050–1069. 13 indexed citations
7.
Kveraga, Kestutis, et al.. (2019). Spatial and feature-based attention to expressive faces. Experimental Brain Research. 237(4). 967–975. 5 indexed citations
8.
Im, Hee Yeon, et al.. (2018). S ex‐related differences in behavioral and amygdalar responses to compound facial threat cues. Human Brain Mapping. 39(7). 2725–2741. 13 indexed citations
9.
Im, Hee Yeon, Reginald B. Adams, Noreen Ward, et al.. (2018). Neurodynamics and connectivity during facial fear perception: The role of threat exposure and signal congruity. Scientific Reports. 8(1). 2776–2776. 13 indexed citations
10.
Im, Hee Yeon, Sang Chul Chong, Troy G. Steiner, et al.. (2017). Cross-cultural and hemispheric laterality effects on the ensemble coding of emotion in facial crowds. PubMed. 5(2). 125–152. 16 indexed citations
11.
12.
Im, Hee Yeon, et al.. (2017). Differential hemispheric and visual stream contributions to ensemble coding of crowd emotion. Nature Human Behaviour. 1(11). 828–842. 37 indexed citations
13.
Im, Hee Yeon, Patrick Bédard, & Joo‐Hyun Song. (2016). Long lasting attentional-context dependent visuomotor memory.. Journal of Experimental Psychology Human Perception & Performance. 42(9). 1269–1274. 11 indexed citations
14.
Im, Hee Yeon, Sheng-hua Zhong, & Justin Halberda. (2015). Grouping by proximity and the visual impression of approximate number in random dot arrays. Vision Research. 126. 291–307. 30 indexed citations
15.
Odic, Darko, Hee Yeon Im, Robert S. Eisinger, Ryan Ly, & Justin Halberda. (2015). PsiMLE: A maximum-likelihood estimation approach to estimating psychophysical scaling and variability more reliably, efficiently, and flexibly. Behavior Research Methods. 48(2). 445–462. 21 indexed citations
16.
Im, Hee Yeon & Sang Chul Chong. (2014). Mean Size as a Unit of Visual Working Memory. Perception. 43(7). 663–676. 37 indexed citations
17.
Im, Hee Yeon, et al.. (2013). Ensemble-based Change Detection. Journal of Vision. 13(9). 800–800.
18.
Ly, Ryan, et al.. (2012). Measuring the Coefficient of Variation with continuously varying arrays. Journal of Vision. 12(9). 712–712. 1 indexed citations
19.
Im, Hee Yeon & Justin Halberda. (2012). The effects of sampling and internal noise on the representation of ensemble average size. Attention Perception & Psychophysics. 75(2). 278–286. 70 indexed citations
20.
Im, Hee Yeon & Sang Chul Chong. (2009). Computation of mean size is based on perceived size. Attention Perception & Psychophysics. 71(2). 375–384. 29 indexed citations

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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