Kangsoo Kim

2.4k total citations
133 papers, 1.6k citations indexed

About

Kangsoo Kim is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Kangsoo Kim has authored 133 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Human-Computer Interaction, 39 papers in Computer Vision and Pattern Recognition and 32 papers in Ocean Engineering. Recurrent topics in Kangsoo Kim's work include Virtual Reality Applications and Impacts (57 papers), Augmented Reality Applications (27 papers) and Underwater Vehicles and Communication Systems (26 papers). Kangsoo Kim is often cited by papers focused on Virtual Reality Applications and Impacts (57 papers), Augmented Reality Applications (27 papers) and Underwater Vehicles and Communication Systems (26 papers). Kangsoo Kim collaborates with scholars based in United States, Canada and Japan. Kangsoo Kim's co-authors include Greg Welch, Gerd Bruder, Mark Billinghurst, Austin Erickson, Tamaki Ura, Nahal Norouzi, Henry Been‐Lirn Duh, Jeremy N. Bailenson, Ryan Schubert and Myungho Lee and has published in prestigious journals such as IEEE Access, Advanced Science and RSC Advances.

In The Last Decade

Kangsoo Kim

111 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kangsoo Kim United States 22 865 647 343 219 183 133 1.6k
Morten Fjeld Sweden 21 1.1k 1.2× 617 1.0× 319 0.9× 394 1.8× 63 0.3× 154 1.7k
Christos Mousas United States 19 674 0.8× 404 0.6× 334 1.0× 235 1.1× 125 0.7× 108 1.3k
Pradipta Biswas India 20 512 0.6× 223 0.3× 239 0.7× 307 1.4× 153 0.8× 128 1.5k
Jessica R. Cauchard Israel 17 481 0.6× 282 0.4× 408 1.2× 160 0.7× 73 0.4× 45 988
Jörg Müller Germany 27 1.5k 1.7× 591 0.9× 170 0.5× 739 3.4× 127 0.7× 103 2.3k
Markus Funk Germany 25 749 0.9× 422 0.7× 286 0.8× 386 1.8× 49 0.3× 50 1.5k
Chris Schmandt United States 26 1.3k 1.4× 699 1.1× 164 0.5× 708 3.2× 178 1.0× 72 2.5k
Franco Tecchia Italy 18 867 1.0× 769 1.2× 185 0.5× 219 1.0× 152 0.8× 57 1.4k
Victoria Interrante United States 28 1.1k 1.3× 1.4k 2.1× 234 0.7× 699 3.2× 127 0.7× 113 2.8k
Christopher Peters Sweden 16 296 0.3× 370 0.6× 293 0.9× 130 0.6× 147 0.8× 74 1.1k

Countries citing papers authored by Kangsoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Kangsoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangsoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Kangsoo Kim. A scholar is included among the top collaborators of Kangsoo 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 Kangsoo Kim. Kangsoo Kim 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
1.
Kim, Kangsoo, et al.. (2025). AR Fitness Dog: Effects of a User-Mimicking Interactive Virtual Pet on User Experience and Social Presence in Physical Exercise. IEEE Transactions on Visualization and Computer Graphics. 31(5). 2817–2827.
3.
Li, Zhangkang, et al.. (2025). Machine Learning‐Enhanced Optimization for High‐Throughput Precision in Cellular Droplet Bioprinting. Advanced Science. 12(20). e2412831–e2412831. 7 indexed citations
4.
Kim, Kangsoo, et al.. (2025). How Collaboration Context and Personality Traits Shape the Social Norms of Human-to-Avatar Identity Representation. IEEE Transactions on Visualization and Computer Graphics. 31(5). 3387–3396.
5.
Kim, Kangsoo, et al.. (2023). Contact Part Detection From 3D Human Motion Data Using Manually Labeled Contact Data and Deep Learning. IEEE Access. 11. 127608–127618. 1 indexed citations
6.
Kim, Kangsoo, et al.. (2023). Physically Plausible Realistic Grip-Lift Interaction Based on Hand Kinematics in VR. Electronics. 12(13). 2794–2794. 2 indexed citations
7.
Nguyen, Tien Anh, et al.. (2023). Developing an immersive virtual farm simulation for engaging and effective public education about the dairy industry. Computers & Graphics. 118. 173–183. 8 indexed citations
8.
Li, Yifan, Byung-Kuk Seo, & Kangsoo Kim. (2023). Exploring Industrial Uses of Virtually Altering the Physical World. 6. 434–437. 2 indexed citations
9.
Erickson, Austin, et al.. (2022). Virtual Big Heads in Extended Reality: Estimation of Ideal Head Scales and Perceptual Thresholds for Comfort and Facial Cues. ACM Transactions on Applied Perception. 20(1). 1–31. 4 indexed citations
10.
Norouzi, Nahal, Kangsoo Kim, Gerd Bruder, et al.. (2022). The advantages of virtual dogs over virtual people: Using augmented reality to provide social support in stressful situations. International Journal of Human-Computer Studies. 165. 102838–102838. 11 indexed citations
11.
Li, Yifan, Kangsoo Kim, Austin Erickson, et al.. (2022). A Scoping Review of Assistance and Therapy with Head-Mounted Displays for People Who Are Visually Impaired. ACM Transactions on Accessible Computing. 15(3). 1–28. 15 indexed citations
12.
Kim, Kangsoo, Celso M. de Melo, Nahal Norouzi, Gerd Bruder, & Greg Welch. (2020). Reducing Task Load with an Embodied Intelligent Virtual Assistant for Improved Performance in Collaborative Decision Making. 529–538. 23 indexed citations
13.
Erickson, Austin, Nahal Norouzi, Kangsoo Kim, et al.. (2020). Sharing gaze rays for visual target identification tasks in collaborative augmented reality. Journal on Multimodal User Interfaces. 14(4). 353–371. 25 indexed citations
14.
Kim, Kangsoo, et al.. (2019). Blowing in the wind: Increasing social presence with a virtual human via environmental airflow interaction in mixed reality. Computers & Graphics. 83. 23–32. 22 indexed citations
15.
Kim, Kangsoo, Divine Maloney, Gerd Bruder, Jeremy N. Bailenson, & Greg Welch. (2017). The effects of virtual human's spatial and behavioral coherence with physical objects on social presence in AR. Computer Animation and Virtual Worlds. 28(3-4). 48 indexed citations
16.
Kim, Han-Yong & Kangsoo Kim. (2013). A Study on Daylighting Performance Evaluation for the Green Building Certification and Daylight Prediction According to Design Elements. Journal of the architectural institute of Korea planning & design. 29(7). 239–246. 1 indexed citations
17.
Nishida, Yuya, Tamaki Ura, Takashi Sakamaki, et al.. (2013). Hovering type AUV “Tuna-Sand” and its surveys on Smith caldera in Izu-Ogasawara ocean area. 1–5. 9 indexed citations
18.
Kim, Kangsoo & Hyungna Oh. (2011). A Study on the Treatment of Protest Zero Bids in Dichotomous Contingent Valuation Models. 2 indexed citations
19.
Kim, Kangsoo, et al.. (2004). Development of Scaled Explosion Logit Model Considering Reliability of Ranking Data. Journal of the Eastern Asia Society for transportation studies. 22(6). 197–206.
20.
Kim, Kangsoo & Tamaki Ura. (2002). 3-Dimensional Trajectory Tracking Control of an AUV “R-One Robot” Considering Current Interaction. 7 indexed citations

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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