Juno Kim

3.4k citations
109 papers · 2.4k · h-index 25

Impact in

Papers in

Juno Kim

104 papers receiving 2.4k citations

Peers

Juno Kim
Comparison fields: 5 of 144
  • Human-Computer Interaction 581
  • Cognitive Neuroscience 1.2k
  • Neurology 431
  • Sensory Systems 175
  • Media Technology 257
Replace N. Jeremy Hill with:
N. Jeremy Hill United States
Casper J. Erkelens Netherlands
George J. Andersen United States
Walter F. Bischof Canada
Hans Strasburger Germany
Peter J. Bex United States
D. Regan Canada
Zijiang J. He United States
Joseph S. Lappin United States
Peter Werkhoven Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Juno Kim

Since Specialization
Citations

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

Fields of papers citing papers by Juno Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006253
2 2012173
3 2009162
4 2016138
5 2004110
6 2018108
7 2011104
8 201086
9 201274
10 202074
11 201567
12 202064
13 201758
14
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
201955
15 201741
16 201940
17 201433
18 201731
19 201230
20 200128

About Juno Kim

Juno Kim is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Social Psychology, Atomic and Molecular Physics, and Optics and Media Technology, having authored 109 papers that have together received 2.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (53 papers), Color Science and Applications (22 papers), Virtual Reality Applications and Impacts (20 papers), Color perception and design (16 papers), Advanced Optical Imaging Technologies (16 papers), Glaucoma and retinal disorders (11 papers), Vestibular and auditory disorders (9 papers) and Ocular Surface and Contact Lens (8 papers). The work is most often cited by research in Human-Computer Interaction (581 citations), Cognitive Neuroscience (1.2k citations), Neurology (431 citations), Sensory Systems (175 citations) and Media Technology (257 citations). Juno Kim has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Barton L. Anderson, Stephen Palmisano, Ian S. Curthoys, Phillip J. Marlow, Aaron J. Camp, Samara McPhedran, Robert S. Allison, Sieu K. Khuu, Maria Markoulli and Sung Jin Kim. Their work appears in journals such as Journal of Vision, Frontiers in Psychology, Virtual Reality, Clinical and Experimental Optometry and Journal of the Optical Society of America A.

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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