Rajeev Ramanath
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 1%
- Atomic and Molecular Physics, and Optics top 10%
- Biomedical Engineering
- Aerospace Engineering
- Co-authors
- W.E. SnyderWesley E. SnyderMark S. DrewYoungjun YooHairong QiGriff L. BilbroLin MiaoXiaoling Wang
- Topics
- Color Science and Applications (7 papers)Remote-Sensing Image Classification (5 papers)Image and Signal Denoising Methods (4 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionAtomic and Molecular Physics, and Optics
- Journals
- IEEE Transactions on Image ProcessingIEEE Signal Processing MagazinePattern Recognition Letters
- Partner nations
- United StatesCanada
In The Last Decade
Rajeev Ramanath
20 papers receiving 844 citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 566
- Media Technology 366
- Atomic and Molecular Physics, and Optics 193
- Biomedical Engineering 84
- Aerospace Engineering 76
Countries citing papers authored by Rajeev Ramanath
This map shows the geographic impact of Rajeev Ramanath'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 Rajeev Ramanath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Ramanath more than expected).
Fields of papers citing papers by Rajeev Ramanath
This network shows the impact of papers produced by Rajeev Ramanath. 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 Rajeev Ramanath. The network helps show where Rajeev Ramanath may publish in the future.
Co-authorship network of co-authors of Rajeev Ramanath
This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Ramanath. A scholar is included among the top collaborators of Rajeev Ramanath 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 Rajeev Ramanath. Rajeev Ramanath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 98 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 46 | |
| 8 | 244 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 94 | |
| 12 | 8 | |
| 13 | 36 | |
| 14 | 64 | |
| 15 | A Framework for Object Characterization and Matching in Multi--and Hyperspectral Imaging Systems | 4 |
| 16 | 27 | |
| 17 | 200 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | Interpolation Methods for the Bayer Color Array | 8 |
About Rajeev Ramanath
Rajeev Ramanath is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 20 papers that have together received 893 indexed citations. Recurring topics across this work include Color Science and Applications (7 papers), Remote-Sensing Image Classification (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Media Technology (366 citations), Computer Vision and Pattern Recognition (566 citations) and Atomic and Molecular Physics, and Optics (193 citations). Rajeev Ramanath has collaborated with scholars based in United States and Canada. Frequent co-authors include W.E. Snyder, Wesley E. Snyder, Mark S. Drew, Youngjun Yoo, Hairong Qi, Griff L. Bilbro, Lin Miao, Xiaoling Wang, Rolf G. Kuehni and Bilge Karaçalı. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Signal Processing Magazine and Pattern Recognition Letters.
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.