Rahee Walambe
Impact in
- Health Informatics top 5%
-
- Advanced Neural Network Applications
Papers in
-
- Adversarial Robustness in Machine Learning 6
- Domain Adaptation and Few-Shot Learning 4
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- Advanced Neural Network Applications 6
- Robotic Path Planning Algorithms 5
- Co-authors
- Ketan Kotecha (45 shared papers)Vrunda Joshi (10 shared papers)Sheela Ramanna (5 shared papers)Parag Narkhede (4 shared papers)Gheorghiță Ghinea (4 shared papers)Sucheta Kulkarni (6 shared papers)Ranjana Agrawal (6 shared papers)Jyoti Choudrie (1 shared paper)
- Journals
- PeerJ Computer Science (3 papers)IEEE Access (3 papers)Scientific Reports (1 paper)Computers in Biology and Medicine (1 paper)Neurocomputing (1 paper)
- Partner nations
- IndiaUnited KingdomCanada
In The Last Decade
Rahee Walambe
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 142
- Health Informatics 37
- Computer Vision and Pattern Recognition 275
- Artificial Intelligence 393
- Control and Systems Engineering 211
- Radiology, Nuclear Medicine and Imaging 125
Countries citing papers authored by Rahee Walambe
This map shows the geographic impact of Rahee Walambe'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 Rahee Walambe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahee Walambe more than expected).
Fields of papers citing papers by Rahee Walambe
This network shows the impact of papers produced by Rahee Walambe. 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 Rahee Walambe. The network helps show where Rahee Walambe may publish in the future.
Co-authors
The 25 scholars most cited alongside Rahee Walambe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2021 | 136 | |
| 3 | 2019 | 127 | |
| 4 | 2023 | 90 | |
| 5 | 2021 | 87 | |
| 6 | 2021 | 82 | |
| 7 | 2021 | 47 | |
| 8 | 2016 | 37 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 35 | |
| 11 | 2023 | 34 | |
| 12 | 2021 | 32 | |
| 13 | 2021 | 31 | |
| 14 | 2021 | 31 | |
| 15 | 2021 | 29 | |
| 16 | 2023 | 29 | |
| 17 | 2016 | 26 | |
| 18 | 2022 | 24 | |
| 19 | 2023 | 23 | |
| 20 | 2022 | 23 |
About Rahee Walambe
Rahee Walambe is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Electrical and Electronic Engineering and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (8 papers), Advanced Neural Network Applications (6 papers), Adversarial Robustness in Machine Learning (6 papers), Retinopathy of Prematurity Studies (6 papers), Neonatal and fetal brain pathology (5 papers), Robotic Path Planning Algorithms (5 papers), Adaptive Control of Nonlinear Systems (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Health Informatics (37 citations), Computer Vision and Pattern Recognition (275 citations), Artificial Intelligence (393 citations), Control and Systems Engineering (211 citations) and Radiology, Nuclear Medicine and Imaging (125 citations). Rahee Walambe has collaborated with scholars based in India, United Kingdom and Canada. Frequent co-authors include Ketan Kotecha, Vrunda Joshi, Sheela Ramanna, Parag Narkhede, Gheorghiță Ghinea, Sucheta Kulkarni, Ranjana Agrawal, Jyoti Choudrie, Snehasish Banerjee and Shashi Poddar. Their work appears in journals such as PeerJ Computer Science, IEEE Access, Scientific Reports, Computers in Biology and Medicine and Neurocomputing.
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.