A. Chris Long
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
- Gaze Tracking and Assistive Technology
- Hand Gesture Recognition Systems
- Usability and User Interface Design
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
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- Video Analysis and Summarization 5
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- Multimedia Communication and Technology 5
- Co-authors
- James A. Landay (4 shared papers)Brad A. Myers (6 shared papers)Lawrence A. Rowe (3 shared papers)Robert J. Miller (1 shared paper)Jeffrey Nichols (1 shared paper)Andrew S. Patrick (1 shared paper)Albert T. Corbett (5 shared papers)Scott Stevens (5 shared papers)
- Journals
- KNOWLEDGE ORGANIZATION (1 paper)Figshare (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
A. Chris Long
10 papers receiving 377 citations
Peers
Comparison fields: 5 of 46
- Human-Computer Interaction 294
- Cognitive Neuroscience 171
- Computer Vision and Pattern Recognition 154
- Signal Processing 43
- Architecture 4
Countries citing papers authored by A. Chris Long
This map shows the geographic impact of A. Chris Long'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 A. Chris Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Chris Long more than expected).
Fields of papers citing papers by A. Chris Long
This network shows the impact of papers produced by A. Chris Long. 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 A. Chris Long. The network helps show where A. Chris Long may publish in the future.
Co-authors
The 12 scholars most cited alongside A. Chris Long, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 165 | |
| 2 | 2000 | 104 | |
| 3 | 2002 | 54 | |
| 4 | 2003 | 43 | |
| 5 | Sketch Recognizers from the End-User's, the Designer's, and the Programmer's Perspective | 2002 | 20 |
| 6 | 2001 | 16 | |
| 7 | 2002 | 9 | |
| 8 | 2003 | 3 | |
| 9 | 2018 | 1 | |
| 10 | 2002 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2018 | 0 |
About A. Chris Long
A. Chris Long is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Human-Computer Interaction, Information Systems and Cognitive Neuroscience, having authored 12 papers that have together received 416 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Multimedia Communication and Technology (5 papers), Interactive and Immersive Displays (4 papers), Gaze Tracking and Assistive Technology (2 papers), User Authentication and Security Systems (2 papers), Tactile and Sensory Interactions (2 papers), Health Literacy and Information Accessibility (1 paper) and Health Sciences Research and Education (1 paper). The work is most often cited by research in Human-Computer Interaction (294 citations), Cognitive Neuroscience (171 citations), Computer Vision and Pattern Recognition (154 citations), Signal Processing (43 citations) and Architecture (4 citations). A. Chris Long has collaborated with scholars based in United States and Canada. Frequent co-authors include James A. Landay, Brad A. Myers, Lawrence A. Rowe, Robert J. Miller, Jeffrey Nichols, Andrew S. Patrick, Albert T. Corbett, Scott Stevens, Laura Dabbish and Jennifer Mankoff. Their work appears in journals such as KNOWLEDGE ORGANIZATION and Figshare.
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.