Jay Karhade
Impact in
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- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
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- Phonocardiography and Auscultation Techniques 3
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- ECG Monitoring and Analysis 2
- Cardiovascular Function and Risk Factors 1
- Co-authors
- Nikhil Keetha (2 shared papers)Sebastian Scherer (2 shared papers)Krishna Murthy Jatavallabhula (2 shared papers)Rajesh Kumar Tripathy (3 shared papers)Samit Kumar Ghosh (3 shared papers)Gengshan Yang (1 shared paper)Deva Ramanan (1 shared paper)Jonathon Luiten (1 shared paper)
In The Last Decade
Jay Karhade
7 papers receiving 405 citations
Jay Karhade's Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 160
- Aerospace Engineering 163
- Computational Mathematics 3
- Geology 27
- Cardiology and Cardiovascular Medicine 88
Countries citing papers authored by Jay Karhade
This map shows the geographic impact of Jay Karhade'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 Jay Karhade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Karhade more than expected).
Fields of papers citing papers by Jay Karhade
This network shows the impact of papers produced by Jay Karhade. 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 Jay Karhade. The network helps show where Jay Karhade may publish in the future.
Co-authors
The 15 scholars most cited alongside Jay Karhade, 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 | SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM Hit paper breakdown → | 2024 | 170 |
| 2 | 2023 | 86 | |
| 3 | 2022 | 69 | |
| 4 | 2021 | 57 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 3 |
About Jay Karhade
Jay Karhade is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Aerospace Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 7 papers that have together received 413 indexed citations. Recurring topics across this work include Phonocardiography and Auscultation Techniques (3 papers), ECG Monitoring and Analysis (2 papers), Robotics and Sensor-Based Localization (2 papers), 3D Surveying and Cultural Heritage (1 paper), Electric Vehicles and Infrastructure (1 paper), Advanced Battery Technologies Research (1 paper), Remote Sensing and LiDAR Applications (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Aerospace Engineering (163 citations), Computational Mathematics (3 citations), Geology (27 citations) and Cardiology and Cardiovascular Medicine (88 citations). Jay Karhade has collaborated with scholars based in India, Singapore and Taiwan. Frequent co-authors include Nikhil Keetha, Sebastian Scherer, Krishna Murthy Jatavallabhula, Rajesh Kumar Tripathy, Samit Kumar Ghosh, Gengshan Yang, Deva Ramanan, Jonathon Luiten, Avneesh Mishra and K. Madhava Krishna. Their work appears in journals such as IEEE Robotics and Automation Letters, Applied Sciences, Journal of Materials Chemistry B, Computers in Biology and Medicine and IEEE Transactions on Instrumentation and Measurement.
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.