S. Subramanian

4.2k total citations
179 papers, 3.4k citations indexed

About

S. Subramanian is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, S. Subramanian has authored 179 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Electrical and Electronic Engineering, 53 papers in Mechanical Engineering and 32 papers in Materials Chemistry. Recurrent topics in S. Subramanian's work include Electric Power System Optimization (61 papers), Optimal Power Flow Distribution (38 papers) and Microstructure and Mechanical Properties of Steels (34 papers). S. Subramanian is often cited by papers focused on Electric Power System Optimization (61 papers), Optimal Power Flow Distribution (38 papers) and Microstructure and Mechanical Properties of Steels (34 papers). S. Subramanian collaborates with scholars based in India, Canada and China. S. Subramanian's co-authors include Chengjia Shang, Xiaoping Ma, R. Balamurugan, L. Lakshminarasimman, Xueda Li, S. Ganesan, V.P. Sakthivel, R. Bhuvaneswari, C.M. Liu and Liqi Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Materials Science and Engineering A.

In The Last Decade

S. Subramanian

170 papers receiving 3.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Subramanian India 31 1.7k 1.3k 1.1k 563 554 179 3.4k
Jianxin Zhou China 25 1.3k 0.8× 201 0.1× 503 0.5× 33 0.1× 215 0.4× 122 2.0k
Xinfang Zhang China 17 496 0.3× 459 0.3× 408 0.4× 73 0.1× 60 0.1× 115 1.1k
Gang Shen China 23 1.1k 0.7× 481 0.4× 383 0.4× 36 0.1× 283 0.5× 180 2.2k
Edvard Govekar Slovenia 28 1.5k 0.9× 715 0.5× 170 0.2× 99 0.2× 285 0.5× 101 2.4k
M. Papadopoulos Greece 24 197 0.1× 1.3k 0.9× 303 0.3× 59 0.1× 121 0.2× 74 2.1k
B. Bhattacharyya India 46 4.2k 2.5× 5.9k 4.4× 355 0.3× 43 0.1× 194 0.4× 292 6.9k
Longchao Cao China 25 1.4k 0.8× 154 0.1× 106 0.1× 57 0.1× 247 0.4× 73 1.9k
В. Д. Калыанкар India 15 626 0.4× 312 0.2× 116 0.1× 38 0.1× 92 0.2× 41 975
Yuan Luo China 21 314 0.2× 456 0.3× 194 0.2× 13 0.0× 275 0.5× 82 1.4k
Jihong Chen China 23 738 0.4× 277 0.2× 236 0.2× 28 0.0× 108 0.2× 97 1.5k

Countries citing papers authored by S. Subramanian

Since Specialization
Citations

This map shows the geographic impact of S. 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 S. Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Subramanian more than expected).

Fields of papers citing papers by S. Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. 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 S. Subramanian. The network helps show where S. Subramanian may publish in the future.

Co-authorship network of co-authors of S. Subramanian

This figure shows the co-authorship network connecting the top 25 collaborators of S. Subramanian. A scholar is included among the top collaborators of S. 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 S. Subramanian. S. Subramanian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Subramanian, S., et al.. (2024). Novel multi-port converter for distributed MPPT operation in solar PV system. SHILAP Revista de lepidopterología. 79. 32–32. 2 indexed citations
2.
Subramanian, S., et al.. (2023). Multi‐objective precise phasor measurement locations to assess small‐signal stability using dingo optimizer. Optimal Control Applications and Methods. 45(1). 208–229. 1 indexed citations
3.
Subramanian, S., et al.. (2020). PV Fed Sepic Triple-Lift Converter System - A Comparative Study. International journal of scientific and technology research. 9(8). 14–17. 1 indexed citations
4.
Krishnan, Narayanan, et al.. (2017). Optimal Thermal Unit Commitment Solution integrating Renewable Energy with Generator Outage. SHILAP Revista de lepidopterología. 2 indexed citations
5.
Saravanan, R., et al.. (2017). Generation Scheduling with Large-Scale Wind Farms using Grey Wolf Optimization. Journal of Electrical Engineering and Technology. 12(4). 1348–1356. 1 indexed citations
6.
Xie, Z.J., Chengjia Shang, S. Subramanian, Xiaoping Ma, & R.D.K. Misra. (2017). Atom probe tomography and numerical study of austenite stabilization in a low carbon low alloy steel processed by two-step intercritical heat treatment. Scripta Materialia. 137. 36–40. 30 indexed citations
7.
Krishnan, Narayanan, et al.. (2017). Wind Integrated Thermal Unit Commitment Solution Using Grey Wolf Optimizer. International Journal of Electrical and Computer Engineering (IJECE). 7(5). 2309–2309. 25 indexed citations
8.
Subramanian, S., et al.. (2016). Best Complex Power Settings Using Ant Lion Optimizer for Optimal Power Flow Problem. SSRN Electronic Journal. 2 indexed citations
9.
Subramanian, S., et al.. (2016). Economic dispatch of energy sources with restrictions on fuel using TLBO algorithm. Energy Sources Part B Economics Planning and Policy. 11(10). 920–928. 4 indexed citations
10.
Ganesan, S., et al.. (2015). Short-term unit consignment solution using real-coded grey wolf algorithm. Australian Journal of Electrical & Electronics Engineering. 13(1). 54–66. 3 indexed citations
11.
Sakthivel, V.P., R. Bhuvaneswari, & S. Subramanian. (2010). Immune Algorithm Based Non-Intrusive Efficiency Determination for In-Situ Induction Motor. Australian Journal of Electrical & Electronics Engineering. 7(1). 31–41.
12.
Balamurugan, R. & S. Subramanian. (2009). Emission-constrained Dynamic Economic Dispatch using Opposition-based Self-adaptive Differential Evolution Algorithm. International Energy Journal. 10(4). 10 indexed citations
13.
Subramanian, S., et al.. (2007). Optimal Design of Self-excited Cage Induction Generator Using Particle Swarm Optimization. 6(1). 3–10. 1 indexed citations
14.
Muralidharan, S., et al.. (2007). A NOVEL PARETO-OPTIMAL SOLUTION FOR MULTI-OBJECTIVE ECONOMIC DISPATCH PROBLEM. 6(2). 112–118. 6 indexed citations
15.
Subramanian, S. & R. Bhuvaneswari. (2006). Evolutionary Programming Based Determination of Induction Motor Efficiency. Electric Power Components and Systems. 34(5). 565–576. 7 indexed citations
16.
Abdelrahman, Mohamed & S. Subramanian. (1999). An intelligent signal validation system for a cupola furnace. I. Methodology. 875–879 vol.2. 1 indexed citations
17.
Subramanian, S., et al.. (1999). An intelligent signal validation system for a cupola furnace. II. Testing and analysis. 860–863 vol.2. 2 indexed citations
18.
Subramanian, S., et al.. (1996). Micromechanisms of tool wear in machining free cutting steels. Wear. 197(1-2). 45–55. 32 indexed citations
19.
Subramanian, S., et al.. (1994). Effects of Dynamic Stall and Three-Dimensional Wake on Aeroelastic Stability of Isolated Hingeless Rotors with Experimental Coerrelation. 3 indexed citations
20.
Subramanian, S. & G.R. Purdy. (1973). Interdiffusion coefficients of Cr and Ni in liquid iron in the stainless steel range. Canadian Metallurgical Quarterly. 12(4). 455–458. 5 indexed citations

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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