Isaac Cho

633 total citations
53 papers, 389 citations indexed

About

Isaac Cho is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence. According to data from OpenAlex, Isaac Cho has authored 53 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 15 papers in Human-Computer Interaction and 12 papers in Artificial Intelligence. Recurrent topics in Isaac Cho's work include Data Visualization and Analytics (14 papers), Augmented Reality Applications (10 papers) and Virtual Reality Applications and Impacts (9 papers). Isaac Cho is often cited by papers focused on Data Visualization and Analytics (14 papers), Augmented Reality Applications (10 papers) and Virtual Reality Applications and Impacts (9 papers). Isaac Cho collaborates with scholars based in United States, Canada and South Korea. Isaac Cho's co-authors include Zachary Wartell, Wenwen Dou, William Ribarsky, Alireza Karduni, Ryan Wesslen, Samira Shaikh, Sashank Santhanam, Svitlana Volkova, Steven R. DeMeester and Jeffrey A. Hagen and has published in prestigious journals such as Frontiers in Plant Science, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Isaac Cho

47 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isaac Cho United States 12 187 103 81 59 40 53 389
Ruth West United States 6 155 0.8× 75 0.7× 152 1.9× 20 0.3× 54 1.4× 29 686
Lingyun Yu China 13 330 1.8× 156 1.5× 81 1.0× 39 0.7× 56 1.4× 30 471
Zhenyu Cheryl Qian United States 10 117 0.6× 33 0.3× 57 0.7× 17 0.3× 21 0.5× 58 308
Jorge Wagner Brazil 7 174 0.9× 159 1.5× 51 0.6× 36 0.6× 10 0.3× 11 302
Sarah Goodwin Australia 11 312 1.7× 151 1.5× 51 0.6× 24 0.4× 34 0.8× 47 456
John Maeda United States 3 80 0.4× 56 0.5× 28 0.3× 40 0.7× 24 0.6× 4 303
Matthias Kraus Germany 8 216 1.2× 108 1.0× 82 1.0× 28 0.5× 12 0.3× 21 396
Doantam Phan United States 8 344 1.8× 82 0.8× 51 0.6× 20 0.3× 29 0.7× 8 621
Zhutian Chen United States 16 474 2.5× 122 1.2× 185 2.3× 26 0.4× 88 2.2× 34 670
Bianchi Serique Meiguins Brazil 10 222 1.2× 82 0.8× 65 0.8× 16 0.3× 36 0.9× 81 359

Countries citing papers authored by Isaac Cho

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isaac Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Isaac Cho. A scholar is included among the top collaborators of Isaac Cho 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 Isaac Cho. Isaac Cho 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
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Cho, Isaac, et al.. (2023). Contemporary Art Authentication with Large-Scale Classification. Big Data and Cognitive Computing. 7(4). 162–162. 3 indexed citations
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Cho, Isaac, et al.. (2023). Contemporary Art Authentication with Large Scale Classification. SSRN Electronic Journal.
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Kim, Kangsoo, et al.. (2023). A Comparison Study on Stress Relief in VR. 899–900. 1 indexed citations
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Windett, Jason H., et al.. (2023). PDViz: A Visual Analytics Approach for State Policy Data. Computer Graphics Forum. 42(1). 305–318. 1 indexed citations
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Cho, Isaac, et al.. (2023). Interactive Visualization for Smart Power Grid Efficiency and Outage Exploration. 656–661. 2 indexed citations
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Cho, Isaac, et al.. (2023). Enhancing User Experience in VR using Wearable Olfactory System. 1–2. 2 indexed citations
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Salazar, Juan Alfonso, Isaac Cho, Claudio Gardana, et al.. (2022). An Upgraded, Highly Saturated Linkage Map of Japanese Plum (Prunus salicina Lindl.), and Identification of a New Major Locus Controlling the Flavan-3-ol Composition in Fruits. Frontiers in Plant Science. 13. 805744–805744. 6 indexed citations
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Kwon, Oh‐Sang, et al.. (2021). HisVA: A Visual Analytics System for Studying History. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4344–4359. 8 indexed citations
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Tolone, William J., et al.. (2019). Multi-View, Generative, Transfer Learning for Distributed Time Series Classification. abs 1312 6026. 5585–5594. 2 indexed citations
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Tolone, William J., et al.. (2019). View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification. 469. 373–381. 3 indexed citations
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Zhu, Yimin, Tianzhen Hong, William J. Tolone, et al.. (2019). Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations. Journal of Computing in Civil Engineering. 33(6). 8 indexed citations
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Cho, Isaac, et al.. (2018). Evaluation of Cursor Offset on 3D Selection in VR. 120–129. 22 indexed citations
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Tolone, William J., et al.. (2018). Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification. CaltechAUTHORS (California Institute of Technology). abs 1801 4503. 959–966. 2 indexed citations
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Cho, Isaac, Ryan Wesslen, Alireza Karduni, et al.. (2017). The Anchoring Effect in Decision-Making with Visual Analytics. 116–126. 45 indexed citations
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Cho, Isaac & Zachary Wartell. (2015). Evaluation of a bimanual simultaneous 7DOF interaction technique in virtual environments. 133–136. 20 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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