Muthu Subash Kavitha
- Oral Surgery top 2%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Takio KuritaAkira AsanoAkira TaguchiMin-Suk HeoMitsuhiro SanadaByeong‐Cheol AhnBalu Alagar Venmathi MaranSung‐Il Chien
- Topics
- AI in cancer detection (12 papers)Dental Radiography and Imaging (11 papers)Medical Imaging and Analysis (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanIndiaSouth Korea
In The Last Decade
Muthu Subash Kavitha
72 papers receiving 804 citations
Peers
Comparison fields: 5 of 136
- Oral Surgery 218
- Biomedical Engineering 217
- Radiology, Nuclear Medicine and Imaging 211
- Artificial Intelligence 190
- Computer Vision and Pattern Recognition 149
Countries citing papers authored by Muthu Subash Kavitha
This map shows the geographic impact of Muthu Subash Kavitha'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 Muthu Subash Kavitha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muthu Subash Kavitha more than expected).
Fields of papers citing papers by Muthu Subash Kavitha
This network shows the impact of papers produced by Muthu Subash Kavitha. 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 Muthu Subash Kavitha. The network helps show where Muthu Subash Kavitha may publish in the future.
Co-authorship network of co-authors of Muthu Subash Kavitha
This figure shows the co-authorship network connecting the top 25 collaborators of Muthu Subash Kavitha. A scholar is included among the top collaborators of Muthu Subash Kavitha 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 Muthu Subash Kavitha. Muthu Subash Kavitha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | 26 | |
| 12 | 11 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 14 | |
| 16 | 34 | |
| 17 | 25 | |
| 18 | 36 | |
| 19 | 17 | |
| 20 | 9 |
About Muthu Subash Kavitha
Muthu Subash Kavitha is a scholar working on Oral Surgery, Computer Vision and Pattern Recognition and Orthopedics and Sports Medicine, having authored 76 papers that have together received 835 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Dental Radiography and Imaging (11 papers) and Medical Imaging and Analysis (8 papers). The work is most often cited by research in Oral Surgery (218 citations), Health Informatics (40 citations) and Orthopedics and Sports Medicine (109 citations). Muthu Subash Kavitha has collaborated with scholars based in Japan, India and South Korea. Frequent co-authors include Takio Kurita, Akira Asano, Akira Taguchi, Min-Suk Heo, Mitsuhiro Sanada, Byeong‐Cheol Ahn, Balu Alagar Venmathi Maran, Sung‐Il Chien, Kyung‐Hoe Huh and Soon-Yong Park. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.