Anuj Bhardwaj
- Neurology top 5%
-
- Image and Signal Denoising Methods 8
- Advanced Steganography and Watermarking Techniques 7
- Image Enhancement Techniques 7
- Digital Media Forensic Detection 5
- Chaos-based Image/Signal Encryption 4
- Advanced Data Compression Techniques 4
- Media Technology top 10%
- Advanced Image Fusion Techniques 6
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- Nanofluid Flow and Heat Transfer 3
- Co-authors
- Vivek Singh VermaRajib Kumar JhaPuneet RanaRashid AliO. Anwar BégBani SinghShilpi AgarwalGaurav Gupta
- Journals
- Applied Mathematics and Computation (1 paper)Computers & Mathematics with Applications (1 paper)Magnetic Resonance Imaging (1 paper)
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Anuj Bhardwaj
22 papers receiving 418 citations
Peers
Comparison fields: 5 of 55
- Neurology 201
- Computer Vision and Pattern Recognition 316
- Media Technology 40
- Health Informatics 6
- Radiology, Nuclear Medicine and Imaging 73
Countries citing papers authored by Anuj Bhardwaj
This map shows the geographic impact of Anuj Bhardwaj'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 Anuj Bhardwaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Bhardwaj more than expected).
Fields of papers citing papers by Anuj Bhardwaj
This network shows the impact of papers produced by Anuj Bhardwaj. 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 Anuj Bhardwaj. The network helps show where Anuj Bhardwaj may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Anuj Bhardwaj, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 9 | |
| 11 | 2019 | 250 | |
| 12 | 2019 | 14 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2016 | 1 | |
| 17 | 2014 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2009 | 3 | |
| 20 | Image Compression Using Modified Fast Haar Wavelet Transform | 2009 | 38 |
About Anuj Bhardwaj
Anuj Bhardwaj is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Numerical Analysis, having authored 25 papers that have together received 448 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Steganography and Watermarking Techniques (7 papers), Image Enhancement Techniques (7 papers), Advanced Image Fusion Techniques (6 papers), Digital Media Forensic Detection (5 papers), Chaos-based Image/Signal Encryption (4 papers), Advanced Data Compression Techniques (4 papers) and Nanofluid Flow and Heat Transfer (3 papers). The work is most often cited by research in Neurology (201 citations), Computer Vision and Pattern Recognition (316 citations) and Media Technology (40 citations). Anuj Bhardwaj has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Vivek Singh Verma, Rajib Kumar Jha, Puneet Rana, Rashid Ali, O. Anwar Bég, Bani Singh, Shilpi Agarwal, Rashid Ali, Gaurav Gupta and Vibhu Saujanya Sharma. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications and Magnetic Resonance Imaging.
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.