Noah S. Friedland
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Cardiology and Cardiovascular Medicine
- Biomedical Engineering
- Co-authors
- D. AdamAzriel RosenfeldBruce PorterDavid IsraëlKen BarkerJames FanMichael GlaßRobert Fung
- Topics
- Advanced SAR Imaging Techniques (3 papers)Medical Image Segmentation Techniques (3 papers)Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingPattern Recognition
- Partner nations
- United StatesIsrael
In The Last Decade
Noah S. Friedland
9 papers receiving 244 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 77
- Radiology, Nuclear Medicine and Imaging 55
- Cardiology and Cardiovascular Medicine 38
- Biomedical Engineering 36
Countries citing papers authored by Noah S. Friedland
This map shows the geographic impact of Noah S. Friedland'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 Noah S. Friedland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah S. Friedland more than expected).
Fields of papers citing papers by Noah S. Friedland
This network shows the impact of papers produced by Noah S. Friedland. 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 Noah S. Friedland. The network helps show where Noah S. Friedland may publish in the future.
Co-authorship network of co-authors of Noah S. Friedland
This figure shows the co-authorship network connecting the top 25 collaborators of Noah S. Friedland. A scholar is included among the top collaborators of Noah S. Friedland 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 Noah S. Friedland. Noah S. Friedland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Learning by reading: a prototype system, performance baseline and lessons learned | 32 |
| 3 | Towards a quantitative, platform-independent analysis of knowledge systems | 16 |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | A "PTBS" segmentation scheme for synthetic aperture radar. | 3 |
| 9 | 2 | |
| 10 | 30 | |
| 11 | 154 |
About Noah S. Friedland
Noah S. Friedland is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Oceanography, having authored 11 papers that have together received 272 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (3 papers), Medical Image Segmentation Techniques (3 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (149 citations), Artificial Intelligence (77 citations) and Media Technology (21 citations). Noah S. Friedland has collaborated with scholars based in United States and Israel. Frequent co-authors include D. Adam, Azriel Rosenfeld, Bruce Porter, David Israël, Ken Barker, James Fan, Michael Glaß, Robert Fung, Jerry R. Hobbs and Peter Z. Yeh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.