Jin Ryong Kim

66 total papers · 1.0k total citations
49 papers, 653 citations indexed

About

Jin Ryong Kim is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Mechanical Engineering. According to data from OpenAlex, Jin Ryong Kim has authored 49 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 33 papers in Human-Computer Interaction and 14 papers in Mechanical Engineering. Recurrent topics in Jin Ryong Kim's work include Tactile and Sensory Interactions (34 papers), Interactive and Immersive Displays (19 papers) and Virtual Reality Applications and Impacts (19 papers). Jin Ryong Kim is often cited by papers focused on Tactile and Sensory Interactions (34 papers), Interactive and Immersive Displays (19 papers) and Virtual Reality Applications and Impacts (19 papers). Jin Ryong Kim collaborates with scholars based in United States, South Korea and United Kingdom. Jin Ryong Kim's co-authors include Hyunjae Gil, Seungmoon Choi, Inwook Hwang, Tae‐Heon Yang, Jeong‐Hoi Koo, Hye Jin Kim, Hanbit Jin, Sanjay Rao, Maurizio Matteo Munafò and Ruben Torres and has published in prestigious journals such as Advanced Functional Materials, IEEE Access and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Jin Ryong Kim

43 papers receiving 635 citations

Author Peers

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

Author Last Decade Papers Cites
Jin Ryong Kim 377 289 159 122 119 49 653
Denys J. C. Matthies 356 0.9× 419 1.4× 53 0.3× 173 1.4× 199 1.7× 52 770
G. Drew Kessler 246 0.7× 504 1.7× 87 0.5× 198 1.6× 45 0.4× 25 757
Jongeun Cha 440 1.2× 401 1.4× 255 1.6× 145 1.2× 86 0.7× 31 786
Raphael Wimmer 354 0.9× 496 1.7× 64 0.4× 211 1.7× 136 1.1× 51 730
Jože Guna 130 0.3× 392 1.4× 66 0.4× 195 1.6× 73 0.6× 41 758
Julius Kammerl 254 0.7× 194 0.7× 283 1.8× 240 2.0× 54 0.5× 26 762
Osama Halabi 150 0.4× 212 0.7× 128 0.8× 169 1.4× 113 0.9× 58 770
Aditya Shekhar Nittala 353 0.9× 432 1.5× 53 0.3× 90 0.7× 258 2.2× 32 681
Mehdi Ammi 202 0.5× 190 0.7× 114 0.7× 131 1.1× 77 0.6× 71 559
Bodo Urban 153 0.4× 197 0.7× 27 0.2× 151 1.2× 128 1.1× 47 578

Countries citing papers authored by Jin Ryong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jin Ryong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Ryong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Ryong Kim. A scholar is included among the top collaborators of Jin Ryong Kim 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 Jin Ryong Kim. Jin Ryong Kim 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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