S. Rajakarunakaran

1.5k total citations
62 papers, 1.2k citations indexed

About

S. Rajakarunakaran is a scholar working on Mechanical Engineering, Mechanics of Materials and Management Science and Operations Research. According to data from OpenAlex, S. Rajakarunakaran has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 12 papers in Mechanics of Materials and 11 papers in Management Science and Operations Research. Recurrent topics in S. Rajakarunakaran's work include Multi-Criteria Decision Making (11 papers), Natural Fiber Reinforced Composites (8 papers) and Aluminum Alloys Composites Properties (8 papers). S. Rajakarunakaran is often cited by papers focused on Multi-Criteria Decision Making (11 papers), Natural Fiber Reinforced Composites (8 papers) and Aluminum Alloys Composites Properties (8 papers). S. Rajakarunakaran collaborates with scholars based in India, Malaysia and United States. S. Rajakarunakaran's co-authors include P. Pitchipoo, D. Devaraj, N. Rajini, J.T. Winowlin Jappes, P. Venkumar, Jeyaraj Pitchaimani, S. Rajesh, M. Thirugnanasambandam, Deepa Vincent and J. Selwin Rajadurai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Journal of Applied Polymer Science.

In The Last Decade

S. Rajakarunakaran

57 papers receiving 1.1k 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. Rajakarunakaran India 20 416 234 185 182 174 62 1.2k
Shahrul Kamaruddin Malaysia 22 664 1.6× 118 0.5× 121 0.7× 279 1.5× 281 1.6× 128 2.3k
Ali Shanian Canada 16 531 1.3× 107 0.5× 531 2.9× 107 0.6× 45 0.3× 26 1.6k
R. Parameshwaran India 20 555 1.3× 89 0.4× 157 0.8× 80 0.4× 23 0.1× 66 1.0k
P. Pitchipoo India 16 250 0.6× 276 1.2× 143 0.8× 74 0.4× 32 0.2× 51 761
Qasim Zeeshan Cyprus 19 440 1.1× 262 1.1× 24 0.1× 302 1.7× 37 0.2× 61 1.6k
David O. Kazmer United States 23 1.2k 2.9× 236 1.0× 35 0.2× 85 0.5× 55 0.3× 166 2.2k
M. Ilangkumaran India 22 395 0.9× 54 0.2× 519 2.8× 65 0.4× 90 0.5× 63 1.8k
Mohammed T. Hayajneh Jordan 21 885 2.1× 416 1.8× 206 1.1× 252 1.4× 13 0.1× 86 1.8k
Ammar Ahmed China 25 606 1.5× 87 0.4× 117 0.6× 38 0.2× 37 0.2× 60 1.8k
Ahmed Senouci United States 25 400 1.0× 36 0.2× 572 3.1× 74 0.4× 127 0.7× 75 2.6k

Countries citing papers authored by S. Rajakarunakaran

Since Specialization
Citations

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

Fields of papers citing papers by S. Rajakarunakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Rajakarunakaran. A scholar is included among the top collaborators of S. Rajakarunakaran 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. Rajakarunakaran. S. Rajakarunakaran 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
3.
Prabhakaran, R., et al.. (2024). Experimental investigation and optimization of process parameters on digital light processing (DLP) 3D printing process based on Taguchi-grey relational analysis. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 238(4). 1884–1893. 7 indexed citations
4.
Sivakumar, V., et al.. (2023). Energy and exergy analysis of single slope passive solar still with atomizer. AIP conference proceedings. 2831. 70003–70003.
5.
Ravindran, D., et al.. (2023). Surface morphology studies and corrosion behaviour of plasma sprayed Cr3C2/8YSZ composite coating on SS316. Surface Topography Metrology and Properties. 11(2). 25003–25003. 5 indexed citations
6.
Ravindran, D., et al.. (2022). Erosive and corrosive wear performance and characterization studies of plasma‐sprayed WC/Cr 3 C 2 coating on SS316. International Journal of Applied Ceramic Technology. 4 indexed citations
8.
Kumar, S. Senthil, et al.. (2021). Investigation of Al-Mg based composite incorporated with MoS2 through powder metallurgy. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 235(4). 986–996. 17 indexed citations
10.
Rajadurai, J. Selwin, et al.. (2020). Machining studies of Al7075 in CNC turning using grey relational analysis. Materials Today Proceedings. 39. 1625–1628. 13 indexed citations
11.
Sureshkumar, P., et al.. (2019). Addition of metallic reinforcement enhanced deformation and properties of ceramic reinforced composite by adapting ECAP with increment number of passes. Materials Research Express. 6(8). 86502–86502. 2 indexed citations
12.
Pitchipoo, P., et al.. (2018). DECISION MODEL FOR SUPPLIER EVALUATION AND SELECTION IN PROCESS INDUSTRY: A HYBRID DEA APPROACH. International journal of industrial engineering. 25(2). 5 indexed citations
13.
Uthayakumar, M., et al.. (2018). Electrical Discharge Machining of Sillimanite Reinforced Aluminium Metal Matrix Composites. Journal of Advanced Microscopy Research. 13(2). 171–175. 1 indexed citations
14.
Rajakarunakaran, S., et al.. (2017). Fuzzy based risk prioritisation in an auto LPG dispensing station. Safety Science. 101. 231–247. 34 indexed citations
15.
Rajakarunakaran, S., et al.. (2017). Hybrid optimisation model for blind spot reduction in heavy vehicles. International Journal of Computer Aided Engineering and Technology. 9(2). 145–145. 1 indexed citations
16.
Rajakarunakaran, S., et al.. (2013). MOORA-Based Tribological Studies on Red Mud Reinforced Aluminum Metal Matrix Composites. SHILAP Revista de lepidopterología. 2013. 1–8. 22 indexed citations
17.
Rajini, N., et al.. (2013). Effect of montmorillonite nanoclay on temperature dependence mechanical properties of naturally woven coconut sheath/polyester composite. Journal of Reinforced Plastics and Composites. 32(11). 811–822. 45 indexed citations
18.
Rajini, N., et al.. (2012). Electrical properties of montmorillonite nanoclay reinforced unsaturated polyester nanocomposite. IEEE-International Conference On Advances In Engineering, Science And Management. 141–145. 3 indexed citations
19.
Pitchipoo, P., P. Venkumar, & S. Rajakarunakaran. (2012). Development of fuzzy expert system for supplier evaluation and selection. IEEE-International Conference On Advances In Engineering, Science And Management. 1–6. 3 indexed citations
20.
Pitchipoo, P., P. Venkumar, & S. Rajakarunakaran. (2012). A distinct decision model for the evaluation and selection of a supplier for a chemical processing industry. International Journal of Production Research. 50(16). 4635–4648. 20 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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