Lauren Bradel
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Signal Processing
- Statistical and Nonlinear Physics
- Co-authors
- Chris NorthAlex EndertLeanna HouseScotland LemanChristopher AndrewsNaren RamakrishnanMaoyuan SunXinran Hu
- Topics
- Data Visualization and Analytics (11 papers)Video Analysis and Summarization (4 papers)Interactive and Immersive Displays (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- ComputerIEEE Transactions on Visualization and Computer GraphicsInternational Journal of Human-Computer Studies
- Partner nations
- United States
In The Last Decade
Lauren Bradel
13 papers receiving 238 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 209
- Artificial Intelligence 86
- Human-Computer Interaction 70
- Signal Processing 43
- Statistical and Nonlinear Physics 17
Countries citing papers authored by Lauren Bradel
This map shows the geographic impact of Lauren Bradel'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 Lauren Bradel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauren Bradel more than expected).
Fields of papers citing papers by Lauren Bradel
This network shows the impact of papers produced by Lauren Bradel. 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 Lauren Bradel. The network helps show where Lauren Bradel may publish in the future.
Co-authorship network of co-authors of Lauren Bradel
This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Bradel. A scholar is included among the top collaborators of Lauren Bradel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lauren Bradel. Lauren Bradel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 47 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 31 | |
| 10 | 27 | |
| 11 | 37 | |
| 12 | 32 | |
| 13 | 9 |
About Lauren Bradel
Lauren Bradel is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geography, Planning and Development, having authored 13 papers that have together received 249 indexed citations. Recurring topics across this work include Data Visualization and Analytics (11 papers), Video Analysis and Summarization (4 papers) and Interactive and Immersive Displays (3 papers). The work is most often cited by research in Human-Computer Interaction (70 citations), Computer Vision and Pattern Recognition (209 citations) and Computer Graphics and Computer-Aided Design (15 citations). Lauren Bradel has collaborated with scholars based in United States. Frequent co-authors include Chris North, Alex Endert, Leanna House, Scotland Leman, Christopher Andrews, Naren Ramakrishnan, Maoyuan Sun, Xinran Hu, Celeste Lyn Paul and Robert Kincaid. Their work appears in journals such as Computer, IEEE Transactions on Visualization and Computer Graphics and International Journal of Human-Computer Studies.
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.