K B Raja
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Information Systems top 10%
- Co-authors
- K R VenugopalL.M. PatnaikM. MadheswaranC. Ravindranath ChowdaryA C RamachandraRavindrakumar SelvarajVikas SharmaK. Usha Rao
- Topics
- Biometric Identification and Security (38 papers)Face and Expression Recognition (36 papers)Advanced Steganography and Watermarking Techniques (24 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
K B Raja
87 papers receiving 666 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 656
- Signal Processing 169
- Artificial Intelligence 166
- Media Technology 126
- Information Systems 65
Countries citing papers authored by K B Raja
This map shows the geographic impact of K B Raja'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 K B Raja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K B Raja more than expected).
Fields of papers citing papers by K B Raja
This network shows the impact of papers produced by K B Raja. 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 K B Raja. The network helps show where K B Raja may publish in the future.
Co-authorship network of co-authors of K B Raja
This figure shows the co-authorship network connecting the top 25 collaborators of K B Raja. A scholar is included among the top collaborators of K B Raja 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 K B Raja. K B Raja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | An OLBP Based Transform Domain FaceRecognition | 2 |
| 11 | 2 | |
| 12 | Wavelet Based Non LSB Steganography | 18 |
| 13 | Dual Transform based Feature Extraction for Face Recognition | 10 |
| 14 | 5 | |
| 15 | 25 | |
| 16 | 42 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | 110 | |
| 20 | Study on Ultrasound Kidney Images Using Principal Component Analysis: A Preliminary Result. | 8 |
About K B Raja
K B Raja is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 96 papers that have together received 818 indexed citations. Recurring topics across this work include Biometric Identification and Security (38 papers), Face and Expression Recognition (36 papers) and Advanced Steganography and Watermarking Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (656 citations), Signal Processing (169 citations) and Media Technology (126 citations). K B Raja has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include K R Venugopal, L.M. Patnaik, M. Madheswaran, C. Ravindranath Chowdary, A C Ramachandra, Ravindrakumar Selvaraj, Vikas Sharma, K R Venugopal, K. Usha Rao and P. Supriya. Their work appears in journals such as Scientific Reports, Journal of Medical Systems and Machine Vision 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.