Juno Kim

102 papers receiving 2.3k citations

Peers

Juno Kim
Comparison fields: 5 of 149
  • Human-Computer Interaction 559
  • Cognitive Neuroscience 1.2k
  • Sensory Systems 270
  • Neurology 428
  • Media Technology 255
Replace Casper J. Erkelens with:
Casper J. Erkelens Netherlands
Paul R. MacNeilage United States
N. Jeremy Hill United States
Ian P. Howard Canada
George J. Andersen United States
Walter F. Bischof Canada
I. P. Howard Canada
Shin’ya Nishida Japan
Hans Strasburger Germany
Peter J. Bex United States
Juno Kim relative to Casper J. Erkelens Netherlands Casper J. Erkelens's profile →
Citations per field
00.5×3.6×
Casper J. Erkelens · 1×
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006245
2 2012170
3 2009158
4 2016129
5 2004103
6 2018102
7 2011102
8 201084
9 201273
10 202071
11 201564
12 202062
13 201757
14
An Empirical Guide to the Behavior and Use of Scalable Persistent Memory
201954
15 201939
16 201738
17 201731
18 201230
19 201429
20 200127

About Juno Kim

Juno Kim is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Ophthalmology, Media Technology and Neurology, having authored 108 papers that have together received 2.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (56 papers), Color Science and Applications (22 papers), Virtual Reality Applications and Impacts (21 papers), Glaucoma and retinal disorders (16 papers), Advanced Optical Imaging Technologies (16 papers), Color perception and design (16 papers), Vestibular and auditory disorders (10 papers) and Ocular Surface and Contact Lens (7 papers). The work is most often cited by research in Human-Computer Interaction (559 citations), Cognitive Neuroscience (1.2k citations), Sensory Systems (270 citations), Neurology (428 citations) and Media Technology (255 citations). Juno Kim has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Barton L. Anderson, Stephen Palmisano, Phillip J. Marlow, Ian S. Curthoys, Samara McPhedran, Aaron J. Camp, Robert S. Allison, Sieu K. Khuu, Sung Jin Kim and Maria Markoulli. Their work appears in journals such as Journal of Vision, Frontiers in Psychology, Journal of the Optical Society of America A, Virtual Reality and Clinical and Experimental Optometry.

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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