N. Keshava
Impact in
- Media Technology top 0.05%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 1%
- Remote Sensing and Land Use
Papers in
-
- Remote-Sensing Image Classification 8
- Advanced Image Fusion Techniques 2
-
- Synthetic Aperture Radar (SAR) Applications and Techniques 3
- Co-authors
- John F. Mustard (2 shared papers)Gu Zhou (1 shared paper)Wen‐Zong Whong (1 shared paper)Channa Keshava (1 shared paper)José M. F. Moura (3 shared papers)Alexander Lin (1 shared paper)Saadallah Ramadan (1 shared paper)Carolyn E. Mountford (1 shared paper)
- Journals
- IEEE Signal Processing Magazine (2 papers)IEEE Transactions on Signal Processing (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Mutation research. Fundamental and molecular mechanisms of mutagenesis (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
N. Keshava
11 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Media Technology 2.5k
- Atmospheric Science 1.3k
- Analytical Chemistry 454
- Ecology 636
- Computer Vision and Pattern Recognition 449
Countries citing papers authored by N. Keshava
This map shows the geographic impact of N. Keshava'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 N. Keshava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Keshava more than expected).
Fields of papers citing papers by N. Keshava
This network shows the impact of papers produced by N. Keshava. 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 N. Keshava. The network helps show where N. Keshava may publish in the future.
Co-authors
The 10 scholars most cited alongside N. Keshava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Spectral unmixing Hit paper breakdown → | 2002 | 1721 |
| 2 | Spectral unmixing Hit paper breakdown → | 2002 | 1130 |
| 3 | 2004 | 270 | |
| 4 | 2002 | 26 | |
| 5 | 1999 | 13 | |
| 6 | 2019 | 8 | |
| 7 | 2011 | 3 | |
| 8 | 2003 | 3 | |
| 9 | 1999 | 2 | |
| 10 | 2002 | 2 | |
| 11 | 2002 | 1 | |
| 12 | 2002 | 0 |
About N. Keshava
N. Keshava is a scholar working on Media Technology, Aerospace Engineering, Artificial Intelligence, Analytical Chemistry and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 3.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Spectroscopy and Chemometric Analyses (3 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (3 papers), Geochemistry and Geologic Mapping (3 papers), Remote Sensing in Agriculture (2 papers), Advanced Image Fusion Techniques (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Media Technology (2.5k citations), Atmospheric Science (1.3k citations), Analytical Chemistry (454 citations), Ecology (636 citations) and Computer Vision and Pattern Recognition (449 citations). N. Keshava has collaborated with scholars based in United States. Frequent co-authors include John F. Mustard, Gu Zhou, Wen‐Zong Whong, Channa Keshava, José M. F. Moura, Alexander Lin, Saadallah Ramadan, Carolyn E. Mountford, John P. Kerekes and José J. G. Moura. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, Mutation research. Fundamental and molecular mechanisms of mutagenesis and PubMed.
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.