Ranjan K. Senapati
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Umesh Chandra PatiKamala Kanta MahapatraAmol D. RahulkarKamalakanta MahapatraGandharba SwainSubodh SrivastavaAshok Kumar PradhanNaween Kumar
- Topics
- Advanced Data Compression Techniques (14 papers)Advanced Steganography and Watermarking Techniques (11 papers)Image and Signal Denoising Methods (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaMultimedia Tools and ApplicationsComputers & Electrical Engineering
- Partner nations
- India
In The Last Decade
Ranjan K. Senapati
43 papers receiving 269 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 211
- Signal Processing 69
- Radiology, Nuclear Medicine and Imaging 49
- Artificial Intelligence 30
- Electrical and Electronic Engineering 27
Countries citing papers authored by Ranjan K. Senapati
This map shows the geographic impact of Ranjan K. Senapati'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 Ranjan K. Senapati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan K. Senapati more than expected).
Fields of papers citing papers by Ranjan K. Senapati
This network shows the impact of papers produced by Ranjan K. Senapati. 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 Ranjan K. Senapati. The network helps show where Ranjan K. Senapati may publish in the future.
Co-authorship network of co-authors of Ranjan K. Senapati
This figure shows the co-authorship network connecting the top 25 collaborators of Ranjan K. Senapati. A scholar is included among the top collaborators of Ranjan K. Senapati 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 Ranjan K. Senapati. Ranjan K. Senapati 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 | 2 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Local Extreme Edge Binary Patterns for Face Recognition and Image Retrieval | 3 |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 7 | |
| 15 | 15 | |
| 16 | 28 | |
| 17 | 2 | |
| 18 | 17 | |
| 19 | A fast zigzag-pruned 4×4 DTT algorithm for image compression | 3 |
| 20 | 8 |
About Ranjan K. Senapati
Ranjan K. Senapati is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 49 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (14 papers), Advanced Steganography and Watermarking Techniques (11 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Signal Processing (69 citations) and Health Information Management (18 citations). Ranjan K. Senapati has collaborated with scholars based in India. Frequent co-authors include Umesh Chandra Pati, Kamala Kanta Mahapatra, Amol D. Rahulkar, Kamalakanta Mahapatra, Gandharba Swain, Subodh Srivastava, Ashok Kumar Pradhan, Naween Kumar, J. Hemalatha and Mukesh Kumar. Their work appears in journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Computers & Electrical Engineering.
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.