Kristin Dana
- Computer Vision and Pattern Recognition top 0.2%
- Computer Graphics and Computer-Aided Design top 0.2%
- Computational Mechanics top 2%
- Civil and Structural Engineering top 2%
- Artificial Intelligence top 2%
- Co-authors
- Shree K. NayarJan J. KoenderinkBram van GinnekenHang ZhangOana G. CulaZhongyue ZhangXiaogang WangAmbrish Tyagi
- Topics
- Computer Graphics and Visualization Techniques (20 papers)Optical Wireless Communication Technologies (12 papers)3D Shape Modeling and Analysis (12 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessIEEE Transactions on Biomedical Engineering
- Partner nations
- United StatesNetherlandsJapan
In The Last Decade
Kristin Dana
73 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 2.8k
- Computer Graphics and Computer-Aided Design 846
- Computational Mechanics 555
- Civil and Structural Engineering 549
- Artificial Intelligence 533
Countries citing papers authored by Kristin Dana
This map shows the geographic impact of Kristin Dana'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 Dana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristin Dana more than expected).
Fields of papers citing papers by Kristin Dana
This network shows the impact of papers produced by Kristin Dana. 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 Dana. The network helps show where Kristin Dana may publish in the future.
Co-authorship network of co-authors of Kristin Dana
This figure shows the co-authorship network connecting the top 25 collaborators of Kristin Dana. A scholar is included among the top collaborators of Kristin Dana 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 Kristin Dana. Kristin Dana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | 35 | |
| 7 | 92 | |
| 8 | 61 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 66 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 32 | |
| 17 | 58 | |
| 18 | 31 | |
| 19 | 124 | |
| 20 | 48 |
About Kristin Dana
Kristin Dana is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 76 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (20 papers), Optical Wireless Communication Technologies (12 papers) and 3D Shape Modeling and Analysis (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (846 citations), Computer Vision and Pattern Recognition (2.8k citations) and Media Technology (452 citations). Kristin Dana has collaborated with scholars based in United States, Netherlands and Japan. Frequent co-authors include Shree K. Nayar, Jan J. Koenderink, Bram van Ginneken, Hang Zhang, Oana G. Cula, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Jianping Shi and Amit Agrawal. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.