Isaac Cho

633 citations
53 papers · 389 · h-index 12

Impact in

Papers in

Isaac Cho

47 papers receiving 378 citations

Peers

Isaac Cho
Comparison fields: 5 of 82
  • Human-Computer Interaction 103
  • Computer Vision and Pattern Recognition 187
  • Computer Graphics and Computer-Aided Design 18
  • General Decision Sciences 9
  • Cognitive Neuroscience 59
Replace Lingyun Yu with:
Lingyun Yu China
Nadia Boukhelifa France
Matthias Kraus Germany
Jorge Wagner Brazil
Zhutian Chen United States
Sarah Goodwin Australia
John Maeda United States
Michael B. Cowen United States
Fereshteh Amini Canada
Fabio Pittarello Italy
Isaac Cho relative to Lingyun Yu China Lingyun Yu's profile →
Citations per field
00.5×7.4×
Lingyun Yu · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201745
2 201537
3 201822
4 201520
5 201718
6 201918
7 201318
8 201518
9 202215
10 201814
11 201513
12 201713
13 201211
14 201711
15 201510
16 201710
17 201810
18 20218
19 20198
20 20208

About Isaac Cho

Isaac Cho is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design, having authored 53 papers that have together received 389 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Augmented Reality Applications (10 papers), Virtual Reality Applications and Impacts (9 papers), Interactive and Immersive Displays (8 papers), Tactile and Sensory Interactions (6 papers), Computer Graphics and Visualization Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Human-Computer Interaction (103 citations), Computer Vision and Pattern Recognition (187 citations), Computer Graphics and Computer-Aided Design (18 citations), General Decision Sciences (9 citations) and Cognitive Neuroscience (59 citations). Isaac Cho has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Zachary Wartell, Wenwen Dou, William Ribarsky, Alireza Karduni, Ryan Wesslen, Sashank Santhanam, Samira Shaikh, Svitlana Volkova, Brian A. Karamian and Dustin Arendt. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, The American Surgeon, Urban Climate, Frontiers in Plant Science and Big Data and Cognitive Computing.

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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