K. R. Subramanian

1.5k citations
89 papers · 1.1k indexed · h-index 18

K. R. Subramanian

84 papers receiving 1.1k citations

Peers

K. R. Subramanian
Comparison fields: 5 of 91
  • Astronomy and Astrophysics 299
  • Artificial Intelligence 559
  • Computer Vision and Pattern Recognition 151
  • Cognitive Neuroscience 139
  • Statistics and Probability 54
Replace G. S. D. Babu with:
G. S. D. Babu India
Françoise Fogelman‐Soulié France
Péter Várlaki Hungary
Hua Huang United States
J. Martín Spain
G. S. Griffin United States
Edward Kim United States
Heeyoul Choi South Korea
Jack Gelfand United States
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K. R. Subramanian relative to G. S. D. Babu India G. S. D. Babu's profile →
Citations per field
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Citations per year

Countries citing papers authored by K. R. Subramanian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside K. R. Subramanian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. R. Subramanian Line = papers co-authored together K. R. Subramanian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20159
3
Estimation of Coronal Magnetic Field Using Multiple Type II Radio Bursts
20142
4 201410
5
Statistical Analysis of Associated and Non Associated Type II Solar Radio Bursts during the Decreasing Phase of Solar Cycle 23
20130
6 201112
7
Gauribidanur radio array solar spectrograph (GRASS)
200713
8 20061
9 200617
10 200412
11 20042
12 20030
13 20033
14
Southern hemisphere solar radio heliograph
20022
15 20021
16 200127
17
Estimation of the altitude and electron density of a discrete source in the outer solar corona through low frequency radio observations
20001
18
A High Resolution Decimetric Solar Radioheliograph
20002
19 20002
20
Absorption Bursts in the Radio Emission from the Sun at Decameter Wavelengths
19831

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), Fuzzy Logic and Control Systems (18 papers), Ionosphere and magnetosphere dynamics (13 papers), Geophysics and Gravity Measurements (10 papers), Advanced Wireless Communication Techniques (9 papers), Radio Astronomy Observations and Technology (7 papers) and Network Traffic and Congestion Control (6 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.

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