S. Prakash

838 total citations
43 papers, 666 citations indexed

About

S. Prakash is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Polymers and Plastics. According to data from OpenAlex, S. Prakash has authored 43 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 16 papers in Electrical and Electronic Engineering and 13 papers in Polymers and Plastics. Recurrent topics in S. Prakash's work include Advanced machining processes and optimization (18 papers), Advanced Machining and Optimization Techniques (14 papers) and Natural Fiber Reinforced Composites (7 papers). S. Prakash is often cited by papers focused on Advanced machining processes and optimization (18 papers), Advanced Machining and Optimization Techniques (14 papers) and Natural Fiber Reinforced Composites (7 papers). S. Prakash collaborates with scholars based in India and United Kingdom. S. Prakash's co-authors include K. Palanikumar, K. Shanmugam, T. Rajmohan, Vijaykumar S. Jatti, N. Manoharan, M. Sangeetha, A. Krishnamoorthy, S. Ramesh, P.R. Sivashankari and T. Rajasekaran and has published in prestigious journals such as Composites Part B Engineering, The International Journal of Advanced Manufacturing Technology and Journal of Composite Materials.

In The Last Decade

S. Prakash

39 papers receiving 614 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. Prakash India 14 419 289 224 167 85 43 666
Sérgio Luiz Moni Ribeiro Filho Brazil 16 545 1.3× 208 0.7× 205 0.9× 169 1.0× 71 0.8× 65 749
Abhishek Singh India 16 461 1.1× 322 1.1× 321 1.4× 109 0.7× 49 0.6× 73 906
P. R. Thyla India 14 360 0.9× 98 0.3× 135 0.6× 134 0.8× 54 0.6× 45 575
Eiichi AOYAMA Japan 11 445 1.1× 289 1.0× 337 1.5× 74 0.4× 113 1.3× 235 758
S. Dinesh India 15 583 1.4× 200 0.7× 197 0.9× 97 0.6× 27 0.3× 57 816
N. Arunkumar India 14 334 0.8× 123 0.4× 151 0.7× 56 0.3× 52 0.6× 54 560
Toshiki HIROGAKI Japan 12 536 1.3× 346 1.2× 404 1.8× 64 0.4× 135 1.6× 268 805
S. Rajendra Boopathy India 15 868 2.1× 209 0.7× 151 0.7× 280 1.7× 100 1.2× 40 1.2k
A. Krishnamoorthy India 11 376 0.9× 244 0.8× 164 0.7× 167 1.0× 56 0.7× 39 558
K. Vijaya Kumar Reddy India 15 334 0.8× 104 0.4× 224 1.0× 96 0.6× 36 0.4× 72 651

Countries citing papers authored by S. Prakash

Since Specialization
Citations

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

Fields of papers citing papers by S. Prakash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Prakash. A scholar is included among the top collaborators of S. Prakash 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. Prakash. S. Prakash 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.
2.
Prakash, S., et al.. (2021). Investigation and prediction of hybrid composite leaf spring using deep neural network based rat swarm optimization. Mechanics Based Design of Structures and Machines. 51(8). 4655–4684. 6 indexed citations
3.
Prakash, S., et al.. (2020). Enhancement in fire retardant Properties of Coconut Coir/Polyurethane acoustic composites. Journal of Natural Fibers. 19(6). 2254–2259. 3 indexed citations
4.
Prakash, S., et al.. (2019). A review on natural and waste material composite as acoustic material. Polymer Testing. 80. 106142–106142. 67 indexed citations
5.
Prakash, S., et al.. (2019). Empirical Modeling of Roughness Parameters in Drilling Composites- A Response Surface Approach. Materials Today Proceedings. 16. 1117–1123. 1 indexed citations
6.
7.
Sangeetha, M., et al.. (2018). Improved efficiency in IC engines using proposed design of aqua silencer. International Journal of Ambient Energy. 42(4). 389–392.
8.
Prakash, S., et al.. (2017). Performance evaluation of composite material for aircraft industries. Materials Today Proceedings. 4(2). 3263–3269. 12 indexed citations
9.
Sangeetha, M. & S. Prakash. (2017). Experimental Investigation of Process Parameters in Drilling LM25 Composites Coated with Multi Wall Carbon Nano Tubes Using Sonication Process. Archives of Metallurgy and Materials. 62(3). 1761–1770. 6 indexed citations
10.
Prakash, S., et al.. (2016). Experimental Investigation and Neuro Fuzzy Modeling of Inplane Shear Strength for Self Healing GFRP. Transactions of the Indian Institute of Metals. 69(8). 1483–1491. 4 indexed citations
11.
Prakash, S., et al.. (2015). Characterisation of Dicyclopentadiene Filled Microcapsules for Self-Healing Composite Materials. Applied Mechanics and Materials. 766-767. 3–7. 5 indexed citations
12.
Prakash, S., et al.. (2015). Computational Intelligence in Optimization of Process Parameters in Turning Metals and Composites – A Review. Applied Mechanics and Materials. 766-767. 914–920. 1 indexed citations
13.
Prakash, S., et al.. (2015). Finite Element Analysis in Drilling GFRP Composites. Indian Journal of Science and Technology. 8(15). 5 indexed citations
14.
Prakash, S.. (2014). A systemic approach for evaluating Surface Roughness parameters during drilling of Medium Density Fiberboard using Taguchi method. Indian Journal of Science and Technology. 7(11). 1888–1894. 14 indexed citations
15.
Prakash, S., et al.. (2014). Multi Response Optimization of Drilling Parameters during Drilling of Particle Board Using Grey Relational Analysis. Applied Mechanics and Materials. 592-594. 530–533. 3 indexed citations
16.
Prakash, S., K. Palanikumar, & A. Krishnamoorthy. (2012). Thrust force evaluation in drilling medium density fibre (MDF) panels using design of experiments. International Journal of Manufacturing Technology and Management. 25(1/2/3). 95–95. 6 indexed citations
17.
Prakash, S., et al.. (2012). Experimental Studies on Surface Roughness in Drilling MDF Composite Panels using Taguchi and Regression Analysis Method. Journal of Applied Sciences. 12(10). 978–984. 8 indexed citations
18.
Rajasekaran, T., B. K. Vinayagam, K. Palanikumar, & S. Prakash. (2010). Influence of machining parameters on surface roughness and material removal rate in machining carbon fiber reinforced polymer material. 75–80. 13 indexed citations
19.
Palanikumar, K., S. Prakash, & N. Manoharan. (2009). Experimental Investigation and Analysis on Delamination in Drilling of Wood Composite Medium Density Fiber Boards. Materials and Manufacturing Processes. 24(12). 1341–1348. 20 indexed citations
20.
Palanikumar, K., S. Prakash, & K. Shanmugam. (2008). Evaluation of Delamination in Drilling GFRP Composites. Materials and Manufacturing Processes. 23(8). 858–864. 105 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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