Ratanond Koonchanok
Computer Science · Indiana University
Publications
14
Citations
74
Est. group size
—
Recurring co-author estimate
Active years
8
Publishing since 2019
Ratanond Koonchanok works in data visualization and visual analytics, studying how people interpret visual data and how human judgment compares with automated inference. Recent work also examines how generative AI tools such as ChatGPT affect public attitudes and student behavior, and applies visual analytics to biological data like RNA sequencing. The research blends interface design, human decision-making studies, and applications in healthcare and genomics.
Publication activity has been intermittent but generally growing, with the most active years occurring recently (2023-2024 and continuing into 2026).
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Do Students Still Ask Each Other? Evidence from Reddit on Test Preparation in the Age of Generative AI
OSF Preprints (OSF Preprints) · 2026
- Do Students Still Ask Each Other? Evidence from Reddit on Test Preparation in the Age of Generative AI
Proceedings of the International AAAI Conference on Web and Social Media · 2026
- Designing a Lightweight GenAI Interface for Visual Data Analysis
arXiv (Cornell University) · 2025
- Public attitudes toward chatgpt on twitter: sentiments, topics, and occupations
Social Network Analysis and Mining · 2024
- Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
Research Square · 2024
- Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations
IEEE Transactions on Visualization and Computer Graphics · 2024
- Could Humans Outshine AI in Visual Data Analysis?
arXiv (Cornell University) · 2024
- Visual Belief Elicitation Reduces the Incidence of False Discovery
2023
- Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and Occupations
arXiv (Cornell University) · 2023
- Sequoia: A Framework for Visual Analysis of RNA Modifications from Direct RNA Sequencing Data
Methods in molecular biology · 2023
- Data Prophecy: Exploring the Effects of Belief Elicitation in Visual Analytics
2021
- Data Prophecy: Exploring the Effects of Belief Elicitation in Visual Analytics
2021
- Sequoia: an interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets
BMC Genomics · 2021
- Sequoia: An interactive visual analytics platform for interpretation and feature extraction from nanopore sequencing datasets
bioRxiv (Cold Spring Harbor Laboratory) · 2019
- arXiv (Cornell University)×3
- Social Network Analysis and Mining×1
- BMC Genomics×1
- Methods in molecular biology×1
- Research Square×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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