Hee Seung Lee

18 total papers · 472 total citations
18 papers, 342 citations indexed

About

Hee Seung Lee is a scholar working on Experimental and Cognitive Psychology, Developmental and Educational Psychology and Cognitive Neuroscience. According to data from OpenAlex, Hee Seung Lee has authored 18 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Experimental and Cognitive Psychology, 9 papers in Developmental and Educational Psychology and 8 papers in Cognitive Neuroscience. Recurrent topics in Hee Seung Lee's work include Visual and Cognitive Learning Processes (9 papers), Cognitive and developmental aspects of mathematical skills (5 papers) and Memory Processes and Influences (5 papers). Hee Seung Lee is often cited by papers focused on Visual and Cognitive Learning Processes (9 papers), Cognitive and developmental aspects of mathematical skills (5 papers) and Memory Processes and Influences (5 papers). Hee Seung Lee collaborates with scholars based in South Korea, United States and China. Hee Seung Lee's co-authors include John R. Anderson, Keith J. Holyoak, Hongjing Lu, Jon M. Fincham, Shawn Betts, Melissa DeWolf, Miriam Bassok and Yewon Kang and has published in prestigious journals such as NeuroImage, Annual Review of Psychology and Journal of Educational Psychology.

In The Last Decade

Hee Seung Lee

16 papers receiving 321 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hee Seung Lee 171 110 102 98 95 18 342
Simon P. Tiffin‐Richards 218 1.3× 60 0.5× 92 0.9× 49 0.5× 136 1.4× 27 349
Carola Wiklund‐Hörnqvist 127 0.7× 53 0.5× 216 2.1× 94 1.0× 83 0.9× 21 347
Kayla Morehead 181 1.1× 45 0.4× 77 0.8× 122 1.2× 159 1.7× 9 320
Kjell Raaheim 103 0.6× 72 0.7× 37 0.4× 170 1.7× 66 0.7× 29 333
Douglas Klahr 216 1.3× 74 0.7× 54 0.5× 97 1.0× 178 1.9× 10 394
Christopher M. Hakala 196 1.1× 70 0.6× 88 0.9× 117 1.2× 109 1.1× 9 344
John R. Surber 221 1.3× 47 0.4× 48 0.5× 106 1.1× 137 1.4× 23 357
Anat Ben-Simon 73 0.4× 48 0.4× 93 0.9× 36 0.4× 90 0.9× 12 353
Matt Jones 144 0.8× 94 0.9× 181 1.8× 80 0.8× 31 0.3× 26 371
Nina Simms 212 1.2× 31 0.3× 70 0.7× 112 1.1× 147 1.5× 19 366

Countries citing papers authored by Hee Seung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hee Seung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hee Seung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Seung Lee. A scholar is included among the top collaborators of Hee Seung Lee 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 Seung Lee. Hee Seung Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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