K. R. Subramanian
- Artificial Intelligence top 2%
- Astronomy and Astrophysics top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Suresh SundaramSavitha RamasamyN. SundararajanR. RameshCh. V. SastryAnkit DasZhaohui CaiShirin Dora
- Topics
- Neural Networks and Applications (23 papers)Solar and Space Plasma Dynamics (22 papers)Fuzzy Logic and Control Systems (18 papers)
In The Last Decade
K. R. Subramanian
84 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 559
- Astronomy and Astrophysics 299
- Electrical and Electronic Engineering 160
- Computer Vision and Pattern Recognition 151
- Cognitive Neuroscience 139
Countries citing papers authored by K. R. Subramanian
This map shows the geographic impact of K. R. Subramanian'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 K. R. Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. R. Subramanian more than expected).
Fields of papers citing papers by K. R. Subramanian
This network shows the impact of papers produced by K. R. Subramanian. 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 K. R. Subramanian. The network helps show where K. R. Subramanian may publish in the future.
Co-authorship network of co-authors of K. R. Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of K. R. Subramanian. A scholar is included among the top collaborators of K. R. Subramanian 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 K. R. Subramanian. K. R. Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | Estimation of Coronal Magnetic Field Using Multiple Type II Radio Bursts | 2 |
| 4 | 10 | |
| 5 | Statistical Analysis of Associated and Non Associated Type II Solar Radio Bursts during the Decreasing Phase of Solar Cycle 23 | 0 |
| 6 | 12 | |
| 7 | Gauribidanur radio array solar spectrograph (GRASS) | 13 |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | Southern hemisphere solar radio heliograph | 2 |
| 15 | 1 | |
| 16 | 27 | |
| 17 | Estimation of the altitude and electron density of a discrete source in the outer solar corona through low frequency radio observations | 1 |
| 18 | A High Resolution Decimetric Solar Radioheliograph | 2 |
| 19 | 2 | |
| 20 | Absorption Bursts in the Radio Emission from the Sun at Decameter Wavelengths | 1 |
About K. R. Subramanian
K. R. Subramanian is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Oceanography, having authored 89 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Solar and Space Plasma Dynamics (22 papers) and Fuzzy Logic and Control Systems (18 papers). The work is most often cited by research in Astronomy and Astrophysics (299 citations), Artificial Intelligence (559 citations) and Computer Vision and Pattern Recognition (151 citations). K. R. Subramanian has collaborated with scholars based in Singapore, India and Brazil. Frequent co-authors include Suresh Sundaram, Savitha Ramasamy, N. Sundararajan, R. Ramesh, Ch. V. Sastry, Ankit Das, Zhaohui Cai, Shirin Dora, Chao Lü and Tee Hiang Cheng. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and IEEE Transactions on Communications.
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.