Scholar
Jeffrey Heer
Google Scholar ID: vlgs4G4AAAAJ
University of Washington
Citations & Impact
Citations
18,555
H-index
69
i10-index
152
Publications
20
Co-authors
76
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in conferences such as TVCG, UIST, CHI, etc. Developed several software tools including Vega, Vega-Lite, D3.js, Trifacta Wrangler, Lilt.com, etc. Involved in various projects like Voyager, Lyra, GraphScape, REV, Falcon, etc.
Research Experience
- Teaching CSE442 Data Visualization (Winter 2024) and CSE512 Data Visualization (Spring 2024). Research projects include Vega (declarative languages for interactive data visualization), interactive visualization tools (such as Voyager, Lyra, GraphScape), reverse-engineering visualizations using computer vision techniques (software: REV), scalable visualization (systems and experiments for low-latency interaction with massive data sets, software: Falcon), Data-Driven Documents (D3) for web-based visualization, data wrangling tools (now commercialized as Trifacta), adaptive language translation tools (now developed by Lilt), text analysis & visualization (large-scale text mining, model assessment, and interactive machine learning), graphical perception studies (to inform more effective visualization design), and social data analysis (via collaborative, interactive visualizations on the web).
Education
- No specific educational background information provided.
Background
- Jerre D. Noe Endowed Professor, Computer Science & Engineering, University of Washington. Research interests include designing new interactive systems for data visualization and analysis to enhance people's ability to understand and communicate data. Research areas cover perceptual, cognitive, and social factors affecting data analysis.
Miscellany
- Presented 'A Brief History of Data Visualization' at the Stanford HCI seminar. More talks can be found online if you stalk him on YouTube.
