Kristin Divis
Impact in
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- Data Visualization and Analytics
- Visual Attention and Saliency Detection
- Video Analysis and Summarization
Papers in
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- Data Visualization and Analytics 5
- Co-authors
- Laura E. Matzen (7 shared papers)Michael Joseph Haass (2 shared papers)Aaron S. Benjamin (1 shared paper)Andrew T. Wilson (1 shared paper)Zhiyuan Wang (1 shared paper)Emily Wall (1 shared paper)Alex Endert (1 shared paper)John Stasko (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Journal of the Association for Information Systems (2 papers)Pervasive and Mobile Computing (1 paper)Memory & Cognition (1 paper)IEEE Computer Graphics and Applications (1 paper)
- Partner nations
- United States
In The Last Decade
Kristin Divis
10 papers receiving 187 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 87
- Signal Processing 32
- Cognitive Neuroscience 54
- Human-Computer Interaction 13
- Artificial Intelligence 43
Countries citing papers authored by Kristin Divis
This map shows the geographic impact of Kristin Divis'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 Kristin Divis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristin Divis more than expected).
Fields of papers citing papers by Kristin Divis
This network shows the impact of papers produced by Kristin Divis. 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 Kristin Divis. The network helps show where Kristin Divis may publish in the future.
Co-authors
The 18 scholars most cited alongside Kristin Divis, 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 | 2018 | 56 | |
| 2 | 2017 | 43 | |
| 3 | 2014 | 30 | |
| 4 | 2019 | 24 | |
| 5 | 2010 | 20 | |
| 6 | 2018 | 9 | |
| 7 | 2023 | 4 | |
| 8 | 2024 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2022 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 |
About Kristin Divis
Kristin Divis is a scholar working on Computer Vision and Pattern Recognition, Social Psychology, Artificial Intelligence, Physiology and Sociology and Political Science, having authored 13 papers that have together received 193 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Spaceflight effects on biology (3 papers), High Altitude and Hypoxia (2 papers), Advanced Text Analysis Techniques (2 papers), Occupational Health and Performance (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Memory Processes and Influences (1 paper) and Multisensory perception and integration (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (87 citations), Signal Processing (32 citations), Cognitive Neuroscience (54 citations), Human-Computer Interaction (13 citations) and Artificial Intelligence (43 citations). Kristin Divis has collaborated with scholars based in United States. Frequent co-authors include Laura E. Matzen, Michael Joseph Haass, Aaron S. Benjamin, Andrew T. Wilson, Zhiyuan Wang, Emily Wall, Alex Endert, John Stasko, Christophe Micheyl and Andrew J. Oxenham. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of the Association for Information Systems, Pervasive and Mobile Computing, Memory & Cognition and IEEE Computer Graphics and Applications.
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.