Rajkumar Soundrapandiyan
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 5%
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Chandra MouliAdhiyaman ManickamJianmin JiangYu ZhouSuresh Chandra SatapathyR. Dinesh Jackson SamuelMarimuthu KaruppiahKi‐Hyun Jung
- Topics
- Infrared Target Detection Methodologies (7 papers)Advanced Image Fusion Techniques (6 papers)Remote-Sensing Image Classification (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFuture Generation Computer Systems
- Partner nations
- IndiaCanadaSouth Korea
In The Last Decade
Rajkumar Soundrapandiyan
31 papers receiving 276 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 173
- Radiology, Nuclear Medicine and Imaging 87
- Media Technology 70
- Artificial Intelligence 68
- Aerospace Engineering 28
Countries citing papers authored by Rajkumar Soundrapandiyan
This map shows the geographic impact of Rajkumar Soundrapandiyan'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 Rajkumar Soundrapandiyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajkumar Soundrapandiyan more than expected).
Fields of papers citing papers by Rajkumar Soundrapandiyan
This network shows the impact of papers produced by Rajkumar Soundrapandiyan. 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 Rajkumar Soundrapandiyan. The network helps show where Rajkumar Soundrapandiyan may publish in the future.
Co-authorship network of co-authors of Rajkumar Soundrapandiyan
This figure shows the co-authorship network connecting the top 25 collaborators of Rajkumar Soundrapandiyan. A scholar is included among the top collaborators of Rajkumar Soundrapandiyan 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 Rajkumar Soundrapandiyan. Rajkumar Soundrapandiyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 5 | |
| 7 | 69 | |
| 8 | 15 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 45 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 8 |
About Rajkumar Soundrapandiyan
Rajkumar Soundrapandiyan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 31 papers that have together received 297 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (7 papers), Advanced Image Fusion Techniques (6 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Media Technology (70 citations) and Radiology, Nuclear Medicine and Imaging (87 citations). Rajkumar Soundrapandiyan has collaborated with scholars based in India, Canada and South Korea. Frequent co-authors include Chandra Mouli, Adhiyaman Manickam, Jianmin Jiang, Yu Zhou, Suresh Chandra Satapathy, R. Dinesh Jackson Samuel, Marimuthu Karuppiah, Ki‐Hyun Jung, Gia Nhu Nguyen and Sanjay Kumar Tyagi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Future Generation Computer Systems.
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.