Robert T. Frankot
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 1%
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Atomic and Molecular Physics, and Optics
- Co-authors
- Rama ChellappaB. V. K. Vijaya KumarDaniel W. CarlsonAbhijit MahalanobisS. HensleySteven A. Shafer
- Topics
- Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers)Robotics and Sensor-Based Localization (4 papers)Infrared Target Detection Methodologies (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingArtificial Intelligence
- Partner nations
- United States
In The Last Decade
Robert T. Frankot
15 papers receiving 739 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 555
- Computer Graphics and Computer-Aided Design 322
- Computational Mechanics 250
- Aerospace Engineering 93
- Atomic and Molecular Physics, and Optics 81
Countries citing papers authored by Robert T. Frankot
This map shows the geographic impact of Robert T. Frankot'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 Robert T. Frankot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Frankot more than expected).
Fields of papers citing papers by Robert T. Frankot
This network shows the impact of papers produced by Robert T. Frankot. 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 Robert T. Frankot. The network helps show where Robert T. Frankot may publish in the future.
Co-authorship network of co-authors of Robert T. Frankot
This figure shows the co-authorship network connecting the top 25 collaborators of Robert T. Frankot. A scholar is included among the top collaborators of Robert T. Frankot 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 Robert T. Frankot. Robert T. Frankot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | An improved algorithm for the shape from shading problem. | 0 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | Estimation of surface topography from SAR imagery using shape from shading techniques | 11 |
| 13 | 37 | |
| 14 | A method for enforcing integrability in shape from shading algorithmsbreakdown → | 683 |
| 15 | Application of a shape from shading technique to synthetic aperture radar imagery | 7 |
| 16 | 44 | |
| 17 | 9 |
About Robert T. Frankot
Robert T. Frankot is a scholar working on Computer Graphics and Computer-Aided Design, Aerospace Engineering and Media Technology, having authored 17 papers that have together received 814 indexed citations. Recurring topics across this work include Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers), Robotics and Sensor-Based Localization (4 papers) and Infrared Target Detection Methodologies (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (322 citations), Computer Vision and Pattern Recognition (555 citations) and Geology (71 citations). Robert T. Frankot has collaborated with scholars based in United States. Frequent co-authors include Rama Chellappa, B. V. K. Vijaya Kumar, Daniel W. Carlson, Abhijit Mahalanobis, S. Hensley and Steven A. Shafer. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Artificial Intelligence.
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.