S. Sudha
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 2%
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- R. SukaneshG. SureshK SangeethaK. JayanthiNirmala MadianP. NeelamegamA. Ebenezer JeyakumarVijay Anand
- Topics
- Image and Signal Denoising Methods (8 papers)Advanced Image Fusion Techniques (6 papers)Cardiovascular Disease and Adiposity (3 papers)
- Partner nations
- IndiaMalaysiaUnited States
In The Last Decade
S. Sudha
23 papers receiving 370 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 244
- Media Technology 152
- Artificial Intelligence 51
- Cardiology and Cardiovascular Medicine 47
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by S. Sudha
This map shows the geographic impact of S. Sudha'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 S. Sudha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Sudha more than expected).
Fields of papers citing papers by S. Sudha
This network shows the impact of papers produced by S. Sudha. 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 S. Sudha. The network helps show where S. Sudha may publish in the future.
Co-authorship network of co-authors of S. Sudha
This figure shows the co-authorship network connecting the top 25 collaborators of S. Sudha. A scholar is included among the top collaborators of S. Sudha 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 S. Sudha. S. Sudha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | 26 | |
| 10 | 14 | |
| 11 | 53 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | NATURAL COAGULANTS-AN ALTERNATIVE TO CONVENTIONAL METHODS OF WATER PURIFICATION | 6 |
| 15 | An Efficient Classification Tree Technique for Heart Disease Prediction | 12 |
| 16 | 22 | |
| 17 | 142 | |
| 18 | 40 | |
| 19 | 1 | |
| 20 | 9 |
About S. Sudha
S. Sudha is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Health Information Management, having authored 27 papers that have together received 452 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Media Technology (152 citations), Computer Vision and Pattern Recognition (244 citations) and Health Information Management (17 citations). S. Sudha has collaborated with scholars based in India, Malaysia and United States. Frequent co-authors include R. Sukanesh, G. Suresh, K Sangeetha, K. Jayanthi, Nirmala Madian, P. Neelamegam, A. Ebenezer Jeyakumar, Vijay Anand, D. Narasimhan and A. Srinivasan. Their work appears in journals such as Journal of Medical Systems, Computational Geosciences and Mathematical Biosciences & 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.