Shawn Lankton
- Computer Vision and Pattern Recognition top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Biomedical Engineering
- Co-authors
- Allen TannenbaumDelphine NainAnthony YezziJames G. MalcolmPaolo RaggiJean WolfSamuel DambrevilleArthur E. Stillman
- Topics
- Medical Image Segmentation Techniques (6 papers)Advanced Vision and Imaging (3 papers)Video Surveillance and Tracking Methods (3 papers)
- Journals
- IEEE Transactions on Image ProcessingPubMedSMARTech Repository (Georgia Institute of Technology)
- Partner nations
- United StatesIsrael
In The Last Decade
Shawn Lankton
11 papers receiving 906 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 703
- Radiology, Nuclear Medicine and Imaging 235
- Artificial Intelligence 147
- Media Technology 120
- Biomedical Engineering 96
Countries citing papers authored by Shawn Lankton
This map shows the geographic impact of Shawn Lankton'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 Shawn Lankton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn Lankton more than expected).
Fields of papers citing papers by Shawn Lankton
This network shows the impact of papers produced by Shawn Lankton. 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 Shawn Lankton. The network helps show where Shawn Lankton may publish in the future.
Co-authorship network of co-authors of Shawn Lankton
This figure shows the co-authorship network connecting the top 25 collaborators of Shawn Lankton. A scholar is included among the top collaborators of Shawn Lankton 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 Shawn Lankton. Shawn Lankton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Soft Plaque Detection and Automatic Vessel Segmentation | 7 |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | Localizing Region-Based Active Contoursbreakdown → | 830 |
| 8 | 74 | |
| 9 | 5 | |
| 10 | A Clinically Affordable Non-Contact Wound Measurement Device | 12 |
| 11 | Use of GPS and Sensor-based Instrumentation as a Supplement to Self-Report in Studies of Activity and Participation | 9 |
About Shawn Lankton
Shawn Lankton is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computer Graphics and Computer-Aided Design, having authored 11 papers that have together received 958 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Advanced Vision and Imaging (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (703 citations), Media Technology (120 citations) and Biophysics (60 citations). Shawn Lankton has collaborated with scholars based in United States and Israel. Frequent co-authors include Allen Tannenbaum, Delphine Nain, Anthony Yezzi, James G. Malcolm, Paolo Raggi, Jean Wolf, Samuel Dambreville, Arthur E. Stillman, Sharon Eve Sonenblum and Stephen Sprigle. Their work appears in journals such as IEEE Transactions on Image Processing, PubMed and SMARTech Repository (Georgia Institute of Technology).
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.