Ashima Anand
Impact in
-
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Advanced Data Compression Techniques
- Media Technology top 5%
- Vehicle License Plate Recognition
Papers in
-
- Advanced Steganography and Watermarking Techniques 34
- Chaos-based Image/Signal Encryption 20
- Digital Media Forensic Detection 18
-
- Biometric Identification and Security 8
Ashima Anand
41 papers receiving 987 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 855
- Media Technology 125
- Neurology 85
- Signal Processing 106
- Health Informatics 10
Countries citing papers authored by Ashima Anand
This map shows the geographic impact of Ashima Anand'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 Ashima Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashima Anand more than expected).
Fields of papers citing papers by Ashima Anand
This network shows the impact of papers produced by Ashima Anand. 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 Ashima Anand. The network helps show where Ashima Anand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashima Anand, 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 | 2025 | 0 | |
| 4 | 2024 | 24 | |
| 5 | 2024 | 19 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 21 | |
| 12 | 2023 | 3 | |
| 13 | 2023 | 4 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 1 | |
| 17 | 2021 | 17 | |
| 18 | 2020 | 220 | |
| 19 | 2017 | 9 | |
| 20 | 2016 | 11 |
About Ashima Anand
Ashima Anand is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Neurology and Computer Graphics and Computer-Aided Design, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (34 papers), Chaos-based Image/Signal Encryption (20 papers), Digital Media Forensic Detection (18 papers), Biometric Identification and Security (8 papers), Blockchain Technology Applications and Security (4 papers), ECG Monitoring and Analysis (3 papers), Brain Tumor Detection and Classification (3 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (855 citations), Media Technology (125 citations), Neurology (85 citations), Signal Processing (106 citations) and Health Informatics (10 citations). Ashima Anand has collaborated with scholars based in India, China and France. Frequent co-authors include Amit Kumar Singh, Zhihan Lv, Jatin Bedi, Anand Mohan, Hoon Ko, Imad Rida, Nandita Sharma, Huiyu Zhou, Ashutosh Aggarwal and Amrit Kumar Agrawal. Their work appears in journals such as Multimedia Tools and Applications, Soft Computing, IEEE Transactions on Computational Social Systems, IEEE Transactions on Industrial Informatics and ACM Transactions on Multimedia Computing Communications and Applications.
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.