Kamlesh Pawar
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- Advanced MRI Techniques and Applications 12
- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 3
- Advanced Neuroimaging Techniques and Applications 3
- Ultrasound Imaging and Elastography 2
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- Medical Image Segmentation Techniques 3
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- Sparse and Compressive Sensing Techniques 3
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- Nuclear Physics and Applications 2
Kamlesh Pawar
15 papers receiving 413 citations
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 181
- Health Informatics 8
- Computer Vision and Pattern Recognition 69
- Media Technology 22
- Biomedical Engineering 72
Countries citing papers authored by Kamlesh Pawar
This map shows the geographic impact of Kamlesh Pawar'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 Kamlesh Pawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamlesh Pawar more than expected).
Fields of papers citing papers by Kamlesh Pawar
This network shows the impact of papers produced by Kamlesh Pawar. 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 Kamlesh Pawar. The network helps show where Kamlesh Pawar may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Kamlesh Pawar, 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 | 2025 | 0 | |
| 2 | 2023 | 15 | |
| 3 | 2022 | 98 | |
| 4 | 2021 | 8 | |
| 5 | 2021 | 10 | |
| 6 | 2020 | 13 | |
| 7 | 2020 | 32 | |
| 8 | 2020 | 7 | |
| 9 | Enforcing Structural Similarity in Deep Learning MR Image Reconstruction | 2019 | 1 |
| 10 | 2019 | 39 | |
| 11 | 2019 | 11 | |
| 12 | ReconNet: A Deep Learning Framework for Transforming MR Image Reconstruction to Pixel Classification | 2018 | 1 |
| 13 | 2015 | 178 | |
| 14 | 2013 | 1 | |
| 15 | (RATE) Rapid MRI Acquisition Using Tailored Signal Excitation Modules: A K-Space Aliasing Method to Accelerate MRI Scans | 2012 | 1 |
| 16 | Simultaneous Image and K-space Domain Aliasing for Accelerating Dynamic MRI Scans | 2012 | 1 |
About Kamlesh Pawar
Kamlesh Pawar is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 416 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Medical Image Segmentation Techniques (3 papers), Nuclear Physics and Applications (2 papers) and Ultrasound Imaging and Elastography (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (181 citations), Health Informatics (8 citations) and Computer Vision and Pattern Recognition (69 citations). Kamlesh Pawar has collaborated with scholars based in Australia, India and Germany. Frequent co-authors include Gary F. Egan, Jingxin Zhang, Zhaolin Chen, Shenjun Zhong, N. Jon Shah, Alexandra Carey, Mehrtash Harandi, Shenpeng Li, Ruth Oliver and M. Cholewa.
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.