B.S. Manjunath
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image and Video Retrieval Techniques 98
- Image Retrieval and Classification Techniques 76
- Medical Image Segmentation Techniques 60
- Digital Media Forensic Detection 34
- Advanced Steganography and Watermarking Techniques 34
- Advanced Vision and Imaging 32
- Video Analysis and Summarization 27
- Media Technology top 0.02%
- Signal Processing top 0.2%
- Biophysics top 0.5%
- Cell Image Analysis Techniques 27
- Artificial Intelligence top 0.5%
B.S. Manjunath
264 papers receiving 15.9k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Computer Vision and Pattern Recognition 13.6k
- Media Technology 4.7k
- Signal Processing 1.8k
- Biophysics 551
- Artificial Intelligence 2.2k
Countries citing papers authored by B.S. Manjunath
This map shows the geographic impact of B.S. Manjunath'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 B.S. Manjunath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B.S. Manjunath more than expected).
Fields of papers citing papers by B.S. Manjunath
This network shows the impact of papers produced by B.S. Manjunath. 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 B.S. Manjunath. The network helps show where B.S. Manjunath may publish in the future.
Co-authorship network
The 25 scholars most cited alongside B.S. Manjunath, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 11 | |
| 4 | 2023 | 0 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 22 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 27 | |
| 9 | 2018 | 3 | |
| 10 | 2015 | 20 | |
| 11 | 2012 | 3 | |
| 12 | 2011 | 5 | |
| 13 | 2009 | 18 | |
| 14 | Robust depth estimation for efficient 3D face reconstruction | 2008 | 1 |
| 15 | Image Informatics Tools for the Analysis of Retinal Images | 2006 | 1 |
| 16 | 2005 | 185 | |
| 17 | Introduction to MPEG-7: Multimedia Content Description Interfacebreakdown → | 2002 | 733 |
| 18 | Registration techniques for multisensor remotely sensed imagery | 1995 | 133 |
| 19 | 1995 | 358 | |
| 20 | Texture segmentation with neural networks | 1992 | 17 |
About B.S. Manjunath
B.S. Manjunath is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Media Technology, having authored 274 papers that have together received 17.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (98 papers), Image Retrieval and Classification Techniques (76 papers), Medical Image Segmentation Techniques (60 papers), Digital Media Forensic Detection (34 papers), Advanced Steganography and Watermarking Techniques (34 papers), Advanced Vision and Imaging (32 papers), Video Analysis and Summarization (27 papers) and Cell Image Analysis Techniques (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (13.6k citations), Media Technology (4.7k citations) and Signal Processing (1.8k citations). B.S. Manjunath has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Weixin Ma, H. Li, Sushmita Mitra, S. Mitra, Hui Li, Lakshmanan Nataraj, Wei‐Ying Ma, Varun Vasudevan, Akio Yamada and J.-R. Ohm. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Circuits and Systems for Video Technology.
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.