V. Sadasivam
Impact in
-
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
-
- Image and Signal Denoising Methods 11
- Advanced Data Compression Techniques 6
- Medical Image Segmentation Techniques 5
- Advanced Image Processing Techniques 5
-
- AI in cancer detection 10
- Co-authors
- K. Manimala (2 shared papers)R. Shantha Selva Kumari (9 shared papers)N. Senthil Kumar (4 shared papers)Swamidoss Issac Niwas (1 shared paper)S. Bharathi (1 shared paper)S. Balakrishnan (1 shared paper)Longya Xu (1 shared paper)J. Oliver (1 shared paper)
- Journals
- Applied Soft Computing (3 papers)Computers & Electrical Engineering (2 papers)Computers & Graphics (1 paper)Soft Computing (1 paper)Applied Artificial Intelligence (1 paper)
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
V. Sadasivam
49 papers receiving 541 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 227
- Media Technology 78
- Control and Systems Engineering 149
- Artificial Intelligence 173
- Neurology 40
Countries citing papers authored by V. Sadasivam
This map shows the geographic impact of V. Sadasivam'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 V. Sadasivam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Sadasivam more than expected).
Fields of papers citing papers by V. Sadasivam
This network shows the impact of papers produced by V. Sadasivam. 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 V. Sadasivam. The network helps show where V. Sadasivam may publish in the future.
Co-authors
The 9 scholars most cited alongside V. Sadasivam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 147 | |
| 2 | 2008 | 43 | |
| 3 | 2006 | 39 | |
| 4 | 2015 | 34 | |
| 5 | 2006 | 29 | |
| 6 | 2005 | 27 | |
| 7 | 2004 | 24 | |
| 8 | 2008 | 24 | |
| 9 | 2007 | 21 | |
| 10 | 2008 | 20 | |
| 11 | 2006 | 19 | |
| 12 | 2005 | 17 | |
| 13 | 2007 | 16 | |
| 14 | 2012 | 15 | |
| 15 | 2011 | 13 | |
| 16 | 2007 | 12 | |
| 17 | Classification of Fatty and Cirrhosis Liver Using Wavelet-Based Statistical Texture Features andNeural Network Classifier. | 2010 | 11 |
| 18 | 2008 | 11 | |
| 19 | 2008 | 11 | |
| 20 | 2007 | 9 |
About V. Sadasivam
V. Sadasivam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Electrical and Electronic Engineering and Signal Processing, having authored 53 papers that have together received 631 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), AI in cancer detection (10 papers), Advanced Image Fusion Techniques (10 papers), Advanced Data Compression Techniques (6 papers), ECG Monitoring and Analysis (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Image Processing Techniques (5 papers) and Sensorless Control of Electric Motors (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Media Technology (78 citations), Control and Systems Engineering (149 citations), Artificial Intelligence (173 citations) and Neurology (40 citations). V. Sadasivam has collaborated with scholars based in India, United States and Spain. Frequent co-authors include K. Manimala, R. Shantha Selva Kumari, N. Senthil Kumar, Swamidoss Issac Niwas, S. Bharathi, S. Balakrishnan, Longya Xu, J. Oliver and R. Dhaya. Their work appears in journals such as Applied Soft Computing, Computers & Electrical Engineering, Computers & Graphics, Soft Computing and Applied Artificial Intelligence.
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.