S. Rajasekaran

218 total papers · 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 United States. 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Rajasekaran 1.4k 1.1k 558 453 273 126 2.3k
Jun Yan 1.5k 1.1× 1.7k 1.5× 304 0.5× 243 0.5× 766 2.8× 198 3.2k
A.Y.T. Leung 545 0.4× 885 0.8× 400 0.7× 206 0.5× 268 1.0× 111 2.0k
Thanh Cuong‐Le 1.3k 0.9× 1.4k 1.2× 275 0.5× 583 1.3× 545 2.0× 102 3.2k
Kuo Tian 1.5k 1.1× 1.7k 1.5× 482 0.9× 328 0.7× 554 2.0× 154 2.9k
Sunil Saigal 1.7k 1.2× 1.0k 0.9× 334 0.6× 284 0.6× 710 2.6× 126 3.2k
Gang Li 704 0.5× 1.3k 1.2× 540 1.0× 131 0.3× 520 1.9× 179 2.4k
Raimondo Betti 751 0.5× 2.0k 1.8× 549 1.0× 161 0.4× 574 2.1× 119 2.5k
Dan Wang 827 0.6× 1.2k 1.1× 153 0.3× 272 0.6× 349 1.3× 138 2.0k
Saeed Shojaee 910 0.6× 824 0.7× 236 0.4× 101 0.2× 302 1.1× 130 1.9k
S. Gopalakrishnan 1.2k 0.8× 1.2k 1.1× 321 0.6× 434 1.0× 979 3.6× 124 2.7k

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

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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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