U. Dinesh Acharya
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Media Technology top 10%
- Health Information Management top 5%
- Co-authors
- A RenukaN. V. Subba ReddyKrishnamoorthi MakkithayaSurulivelrajan MallayasamyPrashant ChandraLuc Van GoolDanda Pani PaudelJiqing Wu
- Topics
- Advanced Steganography and Watermarking Techniques (13 papers)Chaos-based Image/Signal Encryption (10 papers)Handwritten Text Recognition Techniques (10 papers)
- Partner nations
- IndiaSwitzerlandBelgium
In The Last Decade
U. Dinesh Acharya
65 papers receiving 613 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 286
- Artificial Intelligence 136
- Information Systems 55
- Media Technology 43
- Health Information Management 39
Countries citing papers authored by U. Dinesh Acharya
This map shows the geographic impact of U. Dinesh Acharya'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 U. Dinesh Acharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U. Dinesh Acharya more than expected).
Fields of papers citing papers by U. Dinesh Acharya
This network shows the impact of papers produced by U. Dinesh Acharya. 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 U. Dinesh Acharya. The network helps show where U. Dinesh Acharya may publish in the future.
Co-authorship network of co-authors of U. Dinesh Acharya
This figure shows the co-authorship network connecting the top 25 collaborators of U. Dinesh Acharya. A scholar is included among the top collaborators of U. Dinesh Acharya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with U. Dinesh Acharya. U. Dinesh Acharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 10 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 37 | |
| 16 | 1 | |
| 17 | High Capacity Video Steganography Technique in Transform Domain | 3 |
| 18 | Audio Steganography in Discrete Wavelet Transform Domain | 6 |
| 19 | MPI based edge detection of coloured image using Laplacian of Gaussian filter | 1 |
| 20 | 28 |
About U. Dinesh Acharya
U. Dinesh Acharya is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Media Technology, having authored 82 papers that have together received 678 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (10 papers) and Handwritten Text Recognition Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (286 citations), Health Information Management (39 citations) and Health Informatics (9 citations). U. Dinesh Acharya has collaborated with scholars based in India, Switzerland and Belgium. Frequent co-authors include A Renuka, N. V. Subba Reddy, Krishnamoorthi Makkithaya, Surulivelrajan Mallayasamy, Prashant Chandra, Luc Van Gool, Danda Pani Paudel, Jiqing Wu, Wen Li and Rahul Gupta. Their work appears in journals such as IEEE Access, Environmental Science and Pollution Research and BMC Cancer.
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.