Isaac Cho

687 citations
58 papers · 466 · h-index 12

Impact in

Papers in

Isaac Cho

50 papers receiving 453 citations

Peers

Isaac Cho
Comparison fields: 5 of 81
  • Human-Computer Interaction 118
  • Computer Vision and Pattern Recognition 209
  • General Decision Sciences 11
  • Computer Graphics and Computer-Aided Design 23
  • Cognitive Neuroscience 68
Replace Jorge Wagner with:
Jorge Wagner Brazil
Lingyun Yu China
Michael B. Cowen United States
Ron B. Yeh United States
Kostiantyn Kucher Sweden
Sohaib Ghani United States
Chen Zhu-Tian United States
Jonathan Pfautz United States
John Maeda United States
Ingmar Rauschert United States
Isaac Cho relative to Jorge Wagner Brazil Jorge Wagner's profile →
Citations per field
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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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201759
2 201543
3 201830
4 201924
5 201521
6 201720
7 201819
8 202218
9 201318
10 201517
11 201515
12 201713
13 201211
14 201811
15 201511
16 201711
17 202111
18 202010
19 201710
20 20148

About Isaac Cho

Isaac Cho is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Cognitive Neuroscience and Artificial Intelligence, having authored 58 papers that have together received 466 indexed citations. Recurring topics across this work include Data Visualization and Analytics (15 papers), Augmented Reality Applications (10 papers), Virtual Reality Applications and Impacts (9 papers), Interactive and Immersive Displays (8 papers), Computer Graphics and Visualization Techniques (7 papers), Tactile and Sensory Interactions (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 (118 citations), Computer Vision and Pattern Recognition (209 citations), General Decision Sciences (11 citations), Computer Graphics and Computer-Aided Design (23 citations) and Cognitive Neuroscience (68 citations). Isaac Cho has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Zachary J. Wartell, Wenwen Dou, Alireza Karduni, William Ribarsky, Ryan S. Wesslen, Samira Shaikh, Sashank Santhanam, Svitlana Volkova, Dustin Arendt and Daniel S. Oh. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, Big Data and Cognitive Computing, The American Surgeon and Journal of Performance of Constructed Facilities.

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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