K. Shunmugesh

407 total citations
37 papers, 293 citations indexed

About

K. Shunmugesh is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, K. Shunmugesh has authored 37 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Mechanical Engineering, 27 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in K. Shunmugesh's work include Advanced machining processes and optimization (27 papers), Advanced Machining and Optimization Techniques (26 papers) and Advanced Surface Polishing Techniques (12 papers). K. Shunmugesh is often cited by papers focused on Advanced machining processes and optimization (27 papers), Advanced Machining and Optimization Techniques (26 papers) and Advanced Surface Polishing Techniques (12 papers). K. Shunmugesh collaborates with scholars based in India, South Africa and Czechia. K. Shunmugesh's co-authors include K. Panneerselvam, Padmakumar Muthuswamy, S. Aravind, M.P. Jenarthanan, M.J. Francis, Lovely Mathew, Mukesh Kumar, B. Rama Murthy, Jana Petrů and Colin Robert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Engineering Science and Technology an International Journal.

In The Last Decade

K. Shunmugesh

34 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K. Shunmugesh India	10	235	161	78	65	34	37	293
L. B. Abhang India	9	220 0.9×	168 1.0×	91 1.2×	83 1.3×	38 1.1×	27	305
Bijaya Bijeta Nayak India	8	205 0.9×	171 1.1×	122 1.6×	39 0.6×	25 0.7×	49	293
Francisco Mata Cabrera Morocco	11	278 1.2×	191 1.2×	67 0.9×	133 2.0×	29 0.9×	35	401
Jalumedi Babu India	10	312 1.3×	179 1.1×	147 1.9×	60 0.9×	34 1.0×	39	420
Neelesh Kumar Sahu India	10	265 1.1×	165 1.0×	85 1.1×	54 0.8×	13 0.4×	19	314
Nitin Ambhore India	10	348 1.5×	202 1.3×	137 1.8×	114 1.8×	28 0.8×	51	461
Muhammad Hafiz Hassan Malaysia	9	179 0.8×	70 0.4×	64 0.8×	44 0.7×	36 1.1×	31	278
Chorng‐Jyh Tzeng Taiwan	6	370 1.6×	249 1.5×	137 1.8×	108 1.7×	28 0.8×	9	454
B. Suresh Kumar India	11	294 1.3×	109 0.7×	158 2.0×	30 0.5×	19 0.6×	39	405
Dražen Bajić Croatia	9	273 1.2×	128 0.8×	95 1.2×	85 1.3×	8 0.2×	29	350

Countries citing papers authored by K. Shunmugesh

Since Specialization

Citations

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

Fields of papers citing papers by K. Shunmugesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Shunmugesh

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

All Works

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20 of 20 papers shown

Shunmugesh, K., et al.. (2025). A novel way to optimize the process parameters by integrating the grey relational coefficient and the combined compromise solution for machining the CFRP composites. Scientific Reports. 15(1). 34729–34729.

Shunmugesh, K., M. Ganesh, Mukesh Kumar, et al.. (2025). Enhancing drilling performance in 3D printed PLA implants application of PIV and ML models. Scientific Reports. 15(1). 13314–13314. 2 indexed citations

Shunmugesh, K., et al.. (2024). Maximizing efficiency in C45 steel machining: an integrated AI-based approach to coated insert optimization. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(2). 831–848.

Shunmugesh, K., et al.. (2024). A Review of the Machining Process Parameters for Natural-Fiber-Reinforced Composites. SHILAP Revista de lepidopterología. 14–14. 1 indexed citations

Shunmugesh, K., et al.. (2023). Multi-performance optimization for AWJ drilling process in cutting of ceramic tile: BBD with EOBL-GOA algorithm. Multidiscipline Modeling in Materials and Structures. 19(6). 1199–1225. 3 indexed citations

Shunmugesh, K., et al.. (2022). Application of grey-fuzzy logic for the optimization of drilling parameters for coir fibre reinforced composite. Materials Today Proceedings. 72. 2082–2088. 2 indexed citations

Shunmugesh, K., et al.. (2022). Multi response optimization and regression analysis of milling parameters of jute fibre reinforced epoxy composite. Materials Today Proceedings. 72. 2169–2173.

Shunmugesh, K., et al.. (2021). Optimization of process parameters of machining in coir fiber reinforced epoxy composites. Materials Today Proceedings. 43. 3880–3886. 4 indexed citations

Shunmugesh, K., et al.. (2021). Optimization of milling parameters in jute fiber reinforced epoxy composite using GRA. Materials Today Proceedings. 43. 3951–3955. 3 indexed citations

10.

Shunmugesh, K., et al.. (2020). Taguchi Grey Relational Analysis based Optimization of Micro-Drilling Parameters on Carbon Fiber Reinforced Plastics. Materials Today Proceedings. 24. 1994–2003. 9 indexed citations

11.

Shunmugesh, K., et al.. (2019). Optimization of Glass Fiber Reinforced Polymer (GFRP) using Multi Objective Taguchi function and TOPSIS. Materials Today Proceedings. 11. 952–960. 5 indexed citations

12.

Jenarthanan, M.P., et al.. (2019). Investigation on Crash Analysis of a Frontal Car Bumper. Transactions of the Indian Institute of Metals. 72(10). 2699–2709. 9 indexed citations

13.

Aravind, S., et al.. (2017). Multi-Objective Optimization of Machining Parameters during Dry Turning of 11SMn30 Free Cutting Steel Using Grey Relational Analysis. Materials Today Proceedings. 4(2). 4196–4203. 8 indexed citations

14.

Shunmugesh, K., et al.. (2017). The Effect of Fibers Loading on the Mechanical Properties of Carbon Epoxy Composite. Polymers and Polymer Composites. 25(3). 237–240. 6 indexed citations

15.

Shunmugesh, K. & K. Panneerselvam. (2017). Optimization of Machining Process Parameters in Drilling of CFRP Using Multi-Objective Taguchi Technique, TOPSIS and RSA Techniques. Polymers and Polymer Composites. 25(3). 185–192. 32 indexed citations

16.

Shunmugesh, K. & K. Panneerselvam. (2017). Optimization of Drilling Process Parameters Via Taguchi, TOPSIS and RSA Techniques. Archives of Metallurgy and Materials. 62(3). 1803–1812. 11 indexed citations

17.

Shunmugesh, K., et al.. (2017). Influence of heat Treatment and aging process on LM13 Aluminium Alloy Cast Sections: An Experimental Study. Materials Today Proceedings. 4(8). 7194–7201. 2 indexed citations

18.

Shunmugesh, K. & K. Panneerselvam. (2016). Machinability study of Carbon Fiber Reinforced Polymer in the longitudinal and transverse direction and optimization of process parameters using PSO–GSA. Engineering Science and Technology an International Journal. 19(3). 1552–1563. 38 indexed citations

19.

Shunmugesh, K., et al.. (2016). The Study of the Mechanical Properties of Aramid Fiber Reinforced Epoxy Resin Composite. Applied Mechanics and Materials. 852. 36–42. 6 indexed citations

20.

Shunmugesh, K., et al.. (2014). Optimization of Turning Parameters with Carbide Tool for Surface Roughness Analysis. 3(6). 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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