S. Rajasekaran

2.8k total citations
126 papers, 2.3k citations indexed

About

S. Rajasekaran is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Control and Systems Engineering. According to data from OpenAlex, S. Rajasekaran has authored 126 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Civil and Structural Engineering, 61 papers in Mechanics of Materials and 29 papers in Control and Systems Engineering. Recurrent topics in S. Rajasekaran's work include Composite Structure Analysis and Optimization (56 papers), Structural Analysis and Optimization (28 papers) and Structural Load-Bearing Analysis (25 papers). S. Rajasekaran is often cited by papers focused on Composite Structure Analysis and Optimization (56 papers), Structural Analysis and Optimization (28 papers) and Structural Load-Bearing Analysis (25 papers). S. Rajasekaran collaborates with scholars based in India, Iran and Australia. S. Rajasekaran's co-authors include Hossein Bakhshi Khaniki, David W. Murray, Ahmad Shahba, S. Padmanabhan, G.A. Vijayalakshmi Pai, Jegathishkumar Ramasamy, Yong‐Lin Pi, Nicholas S. Trahair, David W. Murray and Mergen H. Ghayesh and has published in prestigious journals such as International Journal for Numerical Methods in Engineering, Neurocomputing and Composite Structures.

In The Last Decade

S. Rajasekaran

116 papers receiving 2.1k 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. Rajasekaran India 24 1.4k 1.1k 558 455 273 126 2.3k
A.Y.T. Leung Hong Kong 25 546 0.4× 888 0.8× 400 0.7× 206 0.5× 269 1.0× 111 2.0k
Gang Li China 29 710 0.5× 1.4k 1.2× 544 1.0× 133 0.3× 528 1.9× 179 2.4k
Shigui Du China 34 1.5k 1.0× 1.6k 1.4× 227 0.4× 351 0.8× 480 1.8× 155 3.5k
Saeed Shojaee Iran 22 916 0.7× 827 0.7× 236 0.4× 102 0.2× 305 1.1× 130 1.9k
Tom Lahmer Germany 31 1.3k 0.9× 1.9k 1.7× 106 0.2× 474 1.0× 526 1.9× 101 3.3k
Achintya Haldar United States 28 994 0.7× 2.6k 2.3× 200 0.4× 193 0.4× 468 1.7× 158 3.8k
Lucia Faravelli Italy 23 329 0.2× 1.7k 1.5× 262 0.5× 269 0.6× 278 1.0× 141 2.2k
Subrata Chakraborty India 33 486 0.3× 2.2k 1.9× 213 0.4× 215 0.5× 386 1.4× 152 3.3k
Fabio Casciati Italy 30 256 0.2× 2.3k 2.0× 357 0.6× 354 0.8× 329 1.2× 161 2.9k
Ke Liang China 24 603 0.4× 684 0.6× 277 0.5× 170 0.4× 260 1.0× 195 2.0k

Countries citing papers authored by S. Rajasekaran

Since Specialization
Citations

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

Fields of papers citing papers by S. Rajasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Rajasekaran. A scholar is included among the top collaborators of S. Rajasekaran 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. Rajasekaran. S. Rajasekaran 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.
Rajasekaran, S.. (2024). Torsion Analysis of Functionally Graded Iso/Orthotropic Sections Using Differential Quadrature and pb2-Rayleigh Ritz Methods. Journal of The Institution of Engineers (India) Series A. 105(4). 875–912. 1 indexed citations
2.
Rajasekaran, S. & Hossein Bakhshi Khaniki. (2019). Bi-directional functionally graded thin-walled non-prismatic Euler beams of generic open/closed cross section Part II: Static, stability and free vibration studies. Thin-Walled Structures. 141. 646–674. 10 indexed citations
3.
Rajasekaran, S., et al.. (2018). Iot Based Environmental Monitoring System. International Journal of Scientific Research in Science Engineering and Technology. 4(7). 366–370. 3 indexed citations
4.
Jayakumar, K., et al.. (2018). Evaluation of Phytochemical Screening and Traditional Value of Zizyphus xylopyrus (Retz) Wild.. World News of Natural Sciences. 16(16). 97–104. 2 indexed citations
5.
Rajasekaran, S.. (2009). Structural Dynamics of Earthquake Engineering: Theory and Application Using MATHEMATICA and MATLAB. Medical Entomology and Zoology. 17 indexed citations
6.
Rajasekaran, S.. (2006). Optimal mix for high performance concrete by evolution strategies combined with neural networks. Indian Journal of Engineering and Materials Sciences. 13(1). 7–17. 1 indexed citations
7.
Rajasekaran, S.. (2005). Mechanical properties of thin-walled composite beams of generic open and closed sections. STRUCTURAL ENGINEERING AND MECHANICS. 21(5). 591–620. 5 indexed citations
8.
Rajasekaran, S., et al.. (2004). Discussion of "Neural Network Modeling of Confined Compressive Strength and Strain of Circular Concrete Columns" by Andres. Journal of Structural Engineering. 130(10). 1634–1635. 1 indexed citations
9.
Rajasekaran, S., et al.. (2003). Optimal lay-up of hybrid composite beams, plates and shells using cellular genetic algorithm. STRUCTURAL ENGINEERING AND MECHANICS. 16(5). 557–580. 4 indexed citations
10.
Rajasekaran, S., et al.. (2001). Methodology for Exact Solution of Catenary. Journal of Structural Engineering. 127(4). 471–472. 11 indexed citations
11.
Rajasekaran, S., et al.. (2000). General Thin Rod Model for Preslip Bending Response of Strand. Journal of Engineering Mechanics. 126(2). 132–139. 12 indexed citations
12.
Rajasekaran, S., et al.. (1999). ADAPTIVE MESH REFINEMENT IN FINITE ELEMENT ANALYSIS. Indian Journal of Engineering and Materials Sciences. 6(3). 135–143. 1 indexed citations
13.
Rajasekaran, S., et al.. (1999). Genetic Algorithm To Optimal Lay-up In ThinComposite Panels. WIT transactions on the built environment. 40. 1 indexed citations
14.
Ramasamy, Jegathishkumar & S. Rajasekaran. (1996). Artificial neural network and genetic algorithm for the design optimizaton of industrial roofs —A comparison. Computers & Structures. 58(4). 747–755. 26 indexed citations
15.
Palani, G. S. & S. Rajasekaran. (1994). Closure of "Finite Element Analysis of Thin-Walled Curved Beams Made of Composites". Journal of Structural Engineering. 120(2). 673–674. 1 indexed citations
16.
Pi, Yong‐Lin, Nicholas S. Trahair, & S. Rajasekaran. (1992). Energy Equation for Beam Lateral Buckling. Journal of Structural Engineering. 118(6). 1462–1479. 49 indexed citations
17.
Rajasekaran, S. & P. Sujatha. (1992). Configuration of deep funicular shells by boundary integral element method. Computers & Structures. 44(1-2). 213–221. 4 indexed citations
18.
Rajasekaran, S. & S. Padmanabhan. (1991). Closure of "Equations of Curved Beams". Journal of Engineering Mechanics. 117(3). 718. 1 indexed citations
19.
Pi, Yong‐Lin, Nicholas S. Trahair, & S. Rajasekaran. (1991). Energy equation for beam lateral buckling. STIN. 93. 21019. 1 indexed citations
20.
Rajasekaran, S. & S. Padmanabhan. (1989). Equations of Curved Beams. Journal of Engineering Mechanics. 115(5). 1094–1111. 97 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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