R. R. Sedamkar
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- Chaos-based Image/Signal Encryption 5
- Image Retrieval and Classification Techniques 5
- Advanced Image and Video Retrieval Techniques 5
- Advanced Steganography and Watermarking Techniques 4
- Media Technology top 10%
- Remote-Sensing Image Classification 9
- Artificial Intelligence top 10%
- Cryptographic Implementations and Security 3
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- Remote Sensing and Land Use 4
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- Emotion and Mood Recognition 3
- Journals
- International Journal of Information Technology (2 papers)Journal of Imaging (1 paper)Sensing and Imaging (1 paper)
- Partner nations
- India
In The Last Decade
R. R. Sedamkar
23 papers receiving 447 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 167
- Media Technology 48
- Health Informatics 7
- Artificial Intelligence 133
- Radiology, Nuclear Medicine and Imaging 76
Countries citing papers authored by R. R. Sedamkar
This map shows the geographic impact of R. R. Sedamkar'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 R. R. Sedamkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. R. Sedamkar more than expected).
Fields of papers citing papers by R. R. Sedamkar
This network shows the impact of papers produced by R. R. Sedamkar. 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 R. R. Sedamkar. The network helps show where R. R. Sedamkar may publish in the future.
Co-authorship network
The 3 scholars most cited alongside R. R. Sedamkar, 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 | 2024 | 8 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2020 | 1 | |
| 5 | Detecting Affect States Using VGG16, ResNet50 and SE-ResNet50 Networksbreakdown → | 2020 | 386 |
| 6 | 2020 | 3 | |
| 7 | 2020 | 0 | |
| 8 | Apply Machine Learning for Healthcare to enhance performance and identify informative features | 2019 | 1 |
| 9 | 2019 | 0 | |
| 10 | 2016 | 17 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 5 | |
| 14 | 2016 | 8 | |
| 15 | Multimedia Encryption using Hybrid Cryptographic Approach | 2016 | 1 |
| 16 | 2015 | 4 | |
| 17 | 2014 | 1 | |
| 18 | Efficient Scheme for Dynamic Channel Allocation using Intelligent Agent in Mobile Communication | 2012 | 2 |
| 19 | Hyperspectral Image Classification on Decision level fusion | 2012 | 3 |
| 20 | 2010 | 1 |
About R. R. Sedamkar
R. R. Sedamkar is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Information Management, having authored 29 papers that have together received 478 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (9 papers), Chaos-based Image/Signal Encryption (5 papers), Image Retrieval and Classification Techniques (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Steganography and Watermarking Techniques (4 papers), Remote Sensing and Land Use (4 papers), Cryptographic Implementations and Security (3 papers) and Emotion and Mood Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Media Technology (48 citations) and Health Informatics (7 citations). R. R. Sedamkar has collaborated with scholars based in India. Frequent co-authors include Neha Jain, Vinayak Ashok Bharadi and Bimal Kumar Mishra. Their work appears in journals such as International Journal of Information Technology, Journal of Imaging, Sensing and Imaging, SN Computer Science and Intelligent Decision Technologies.
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.