Thomas Kapler
Impact in
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- Data Visualization and Analytics
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Data Visualization and Analytics 14
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- Military Strategy and Technology 3
- Co-authors
- William Wright (13 shared papers)Michael J. McGuffin (1 shared paper)Naren Ramakrishnan (1 shared paper)Niklas Elmqvist (1 shared paper)
- Journals
- Information Visualization (3 papers)IEEE Transactions on Visualization and Computer Graphics (1 paper)IEEE Computer Graphics and Applications (1 paper)SN Computer Science (1 paper)IEEE Pacific Visualization Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Thomas Kapler
14 papers receiving 453 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 415
- Signal Processing 43
- Geography, Planning and Development 28
- Transportation 21
- Human-Computer Interaction 16
Countries citing papers authored by Thomas Kapler
This map shows the geographic impact of Thomas Kapler'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 Thomas Kapler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kapler more than expected).
Fields of papers citing papers by Thomas Kapler
This network shows the impact of papers produced by Thomas Kapler. 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 Thomas Kapler. The network helps show where Thomas Kapler may publish in the future.
Co-authors
The 4 scholars most cited alongside Thomas Kapler, 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 | 2005 | 192 | |
| 2 | 2008 | 72 | |
| 3 | 2005 | 71 | |
| 4 | 2005 | 47 | |
| 5 | 2007 | 46 | |
| 6 | 2020 | 19 | |
| 7 | 2016 | 16 | |
| 8 | Correlating Events with Tracked Movements in Time and Space: A GeoTime Case Study | 2005 | 9 |
| 9 | 2008 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2007 | 8 | |
| 12 | Visualization of Blue Forces Using Blobology | 2002 | 4 |
| 13 | 2021 | 4 | |
| 14 | 2021 | 2 | |
| 15 | Visualization for Tracking Battlefield Events in Time and Space for C 2 | 2004 | 1 |
| 16 | 2022 | 0 |
About Thomas Kapler
Thomas Kapler is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction, Artificial Intelligence and Management Science and Operations Research, having authored 16 papers that have together received 509 indexed citations. Recurring topics across this work include Data Visualization and Analytics (14 papers), Military Strategy and Technology (3 papers), Bayesian Modeling and Causal Inference (2 papers), Complex Systems and Decision Making (1 paper), Virtual Reality Applications and Impacts (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Signal Processing (43 citations), Geography, Planning and Development (28 citations), Transportation (21 citations) and Human-Computer Interaction (16 citations). Thomas Kapler has collaborated with scholars based in United States. Frequent co-authors include William Wright, Michael J. McGuffin, Naren Ramakrishnan and Niklas Elmqvist. Their work appears in journals such as Information Visualization, IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, SN Computer Science and IEEE Pacific Visualization Symposium.
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.