Reecha Sharma
Impact in
- Health Informatics top 10%
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- Face recognition and analysis
- Face and Expression Recognition
Papers in
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- Face recognition and analysis 12
- Face and Expression Recognition 7
- Generative Adversarial Networks and Image Synthesis 6
- Advanced Steganography and Watermarking Techniques 4
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- Biometric Identification and Security 4
- Co-authors
- Neeru Jindal (6 shared papers)Neha Sharma (6 shared papers)Anu Sheetal (11 shared papers)Meet Kumari (11 shared papers)Manjeet Singh Patterh (6 shared papers)Harmanpreet Kaur (2 shared papers)Vivek Kumar Singh (2 shared papers)Sanjeev Kumar (1 shared paper)
In The Last Decade
Reecha Sharma
43 papers receiving 714 citations
Reecha Sharma's Hit Papers
Peers
Comparison fields: 5 of 128
- Health Informatics 16
- Computer Vision and Pattern Recognition 208
- Media Technology 65
- Signal Processing 56
- Electrical and Electronic Engineering 211
Countries citing papers authored by Reecha Sharma
This map shows the geographic impact of Reecha Sharma'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 Reecha Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reecha Sharma more than expected).
Fields of papers citing papers by Reecha Sharma
This network shows the impact of papers produced by Reecha Sharma. 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 Reecha Sharma. The network helps show where Reecha Sharma may publish in the future.
Co-authors
The 17 scholars most cited alongside Reecha Sharma, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine Learning and Deep Learning Applications-A Vision Hit paper breakdown → | 2021 | 306 |
| 2 | Study of Different Image fusion Algorithm | 2013 | 48 |
| 3 | 2020 | 46 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 25 | |
| 7 | 2015 | 24 | |
| 8 | 2016 | 22 | |
| 9 | 2021 | 21 | |
| 10 | 2025 | 20 | |
| 11 | 2022 | 19 | |
| 12 | Different Approaches of CBIR Techniques | 2013 | 17 |
| 13 | 2021 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2020 | 12 | |
| 17 | 2016 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2022 | 7 |
About Reecha Sharma
Reecha Sharma is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Human-Computer Interaction and Neurology, having authored 46 papers that have together received 762 indexed citations. Recurring topics across this work include Face recognition and analysis (12 papers), Optical Network Technologies (9 papers), Advanced Photonic Communication Systems (8 papers), Face and Expression Recognition (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Biometric Identification and Security (4 papers), Advanced Steganography and Watermarking Techniques (4 papers) and Optical Wireless Communication Technologies (4 papers). The work is most often cited by research in Health Informatics (16 citations), Computer Vision and Pattern Recognition (208 citations), Media Technology (65 citations), Signal Processing (56 citations) and Electrical and Electronic Engineering (211 citations). Reecha Sharma has collaborated with scholars based in India, Yemen and Qatar. Frequent co-authors include Neeru Jindal, Neha Sharma, Anu Sheetal, Meet Kumari, Manjeet Singh Patterh, Harmanpreet Kaur, Vivek Kumar Singh, Sanjeev Kumar, Taranjit Kaur and Lakhwinder Kaur. Their work appears in journals such as Wireless Personal Communications, Optik, Scientific Reports, Optical and Quantum Electronics and The Imaging Science Journal.
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.