Hyungwook Yim

22 papers receiving 215 citations

Peers

Hyungwook Yim
Comparison fields: 5 of 60
  • Cognitive Neuroscience 108
  • Developmental and Educational Psychology 97
  • Experimental and Cognitive Psychology 45
  • Artificial Intelligence 29
  • Sociology and Political Science 24
Replace Natalia Vélez with:
Natalia Vélez United States
Molly Lewis United States
Brianna L. Yamasaki United States
Martin Zettersten United States
April Fugett United States
Angela Fink United States
Tom Heyman Belgium
John M. Tomlinson United States
Paweł Dobrowolski Poland
Jesse C. Niebaum United States
Hyungwook Yim relative to Natalia Vélez United States Natalia Vélez's profile →
Citations per field
00.5×10×
Natalia Vélez · 1×
Citations per year

Countries citing papers authored by Hyungwook Yim

Since Specialization
Citations

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

Fields of papers citing papers by Hyungwook Yim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungwook Yim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyungwook Yim. A scholar is included among the top collaborators of Hyungwook Yim 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 Hyungwook Yim. Hyungwook Yim 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 3
6 18
7 16
8
The Mystery of Early Taxonomic Development
0
9 5
10
Using Experience Sampling to Investigate Affect at Encoding and Episodic Memory.
1
11
Using Emails to Quantify the Impact of Prior Exposure on Word Recognition Memory.
1
12 2
13
Can Paradigmatic Relations be Learned Implicitly
1
14
Understanding Human Memory for Where Using Experience Sampling Data.
1
15 9
16 23
17
A hierarchical Bayesian model of "memory for when" based on experience sampling data.
2
18 45
19 34
20
Cost of Attention as an Indicator of Category Learning
2

About Hyungwook Yim

Hyungwook Yim is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Information Systems and Management, having authored 26 papers that have together received 221 indexed citations. Recurring topics across this work include Child and Animal Learning Development (7 papers), Mental Health Research Topics (7 papers) and Memory Processes and Influences (6 papers). The work is most often cited by research in Developmental and Educational Psychology (97 citations), Cognitive Neuroscience (108 citations) and Experimental and Cognitive Psychology (45 citations). Hyungwook Yim has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Vladimir M. Sloutsky, Simon Dennis, Catherine Best‐Popescu, Xin Yao, Ya‐Yun Chen, Tae‐Ho Lee, Vishnu Sreekumar, Adam F Osth, Paul Michael Garrett and Jihun Hamm. Their work appears in journals such as Psychological Science, Cognitive Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

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

Rankless by CCL
2026