M.P. Jenarthanan

680 total citations
59 papers, 485 citations indexed

About

M.P. Jenarthanan is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, M.P. Jenarthanan has authored 59 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Mechanical Engineering, 37 papers in Electrical and Electronic Engineering and 22 papers in Biomedical Engineering. Recurrent topics in M.P. Jenarthanan's work include Advanced Machining and Optimization Techniques (36 papers), Advanced machining processes and optimization (36 papers) and Advanced Surface Polishing Techniques (20 papers). M.P. Jenarthanan is often cited by papers focused on Advanced Machining and Optimization Techniques (36 papers), Advanced machining processes and optimization (36 papers) and Advanced Surface Polishing Techniques (20 papers). M.P. Jenarthanan collaborates with scholars based in India and United States. M.P. Jenarthanan's co-authors include R. Jeyapaul, S. Ramesh Kumar, Sathiyaraj Chinnasamy, П. Динеш Бабу, C. Chanakyan, M. Sakthivel, S. Vijayakumar, K. Shunmugesh, M Ramachandran and Vimala Saravanan and has published in prestigious journals such as Materials Today Proceedings, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science and Journal of Natural Fibers.

In The Last Decade

M.P. Jenarthanan

56 papers receiving 450 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.P. Jenarthanan India 14 364 208 132 102 61 59 485
D. Rajamani India 16 396 1.1× 184 0.9× 131 1.0× 126 1.2× 100 1.6× 54 612
A. Haddad Algeria 10 341 0.9× 156 0.8× 107 0.8× 119 1.2× 18 0.3× 23 486
Lenin Nagarajan India 13 201 0.6× 101 0.5× 97 0.7× 54 0.5× 47 0.8× 50 362
Ivan Popov United Kingdom 9 209 0.6× 123 0.6× 83 0.6× 72 0.7× 30 0.5× 15 343
A. Parthiban India 13 299 0.8× 102 0.5× 59 0.4× 98 1.0× 44 0.7× 60 499
B. Radha Krishnan India 14 350 1.0× 107 0.5× 97 0.7× 52 0.5× 47 0.8× 43 532
Kuldeep K. Saxena India 15 449 1.2× 166 0.8× 115 0.9× 65 0.6× 75 1.2× 49 707
Chorng‐Jyh Tzeng Taiwan 6 370 1.0× 249 1.2× 137 1.0× 28 0.3× 42 0.7× 9 454
Issam Hanafi Morocco 11 277 0.8× 196 0.9× 74 0.6× 33 0.3× 33 0.5× 34 409
Chiang-Lung Lin Taiwan 4 341 0.9× 272 1.3× 143 1.1× 31 0.3× 31 0.5× 8 496

Countries citing papers authored by M.P. Jenarthanan

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Jenarthanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.P. Jenarthanan. 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 M.P. Jenarthanan. The network helps show where M.P. Jenarthanan may publish in the future.

Co-authorship network of co-authors of M.P. Jenarthanan

This figure shows the co-authorship network connecting the top 25 collaborators of M.P. Jenarthanan. A scholar is included among the top collaborators of M.P. Jenarthanan 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 M.P. Jenarthanan. M.P. Jenarthanan 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.
Jenarthanan, M.P., et al.. (2024). Prediction of effective parameters for 3D printing of poly lactic acid-carbon fibre composites using intelligent frameworks based on mechanical response. Pigment & Resin Technology. 54(4). 549–560. 3 indexed citations
2.
Jenarthanan, M.P., et al.. (2024). Electric Discharge Machining of Aluminium Silicon-Carbide Composite and Optimization of Process Parameters. ES Materials & Manufacturing. 2 indexed citations
3.
4.
Jenarthanan, M.P., et al.. (2022). Mechanical, Morphological and Water absorption properties of Polypropylene based Composites. 1(1). 48–52. 7 indexed citations
5.
Jenarthanan, M.P., et al.. (2021). Investigation of Powder Mixed EDM of Nickel-Based Superalloy Using Cobalt, Zinc and Molybdenum Powders. Transactions of the Indian Institute of Metals. 74(4). 923–936. 13 indexed citations
6.
Vijayaraghavan, Saranyan, et al.. (2020). Optimization of process parameters on drilling of natural fibres reinforced in epoxy resin matrices using Taguchi–Grey relational analysis. Multidiscipline Modeling in Materials and Structures. 16(5). 937–949. 6 indexed citations
7.
8.
Jenarthanan, M.P., et al.. (2018). Free vibration analysis of a composite reinforced with natural fibers employing finite element and experimental techniques. Journal of Natural Fibers. 17(5). 688–699. 14 indexed citations
9.
Jenarthanan, M.P., et al.. (2018). Multi-response optimization for machining GFRP composites using GRA and DFA. Multidiscipline Modeling in Materials and Structures. 14(3). 482–496. 13 indexed citations
10.
Jenarthanan, M.P., et al.. (2018). Tensile behavior of aloe vera fiber reinforced epoxy and polyester resin matrix composites. Pigment & Resin Technology. 47(5). 440–443. 3 indexed citations
11.
Jenarthanan, M.P., et al.. (2018). Optimization of process parameters on machining force and MRR during end milling of GFRP composites using GRA. World Journal of Engineering. 15(3). 407–413. 2 indexed citations
12.
Sakthivel, M., S. Vijayakumar, & M.P. Jenarthanan. (2017). Grey-fuzzy logic to optimise process parameters in drilling of glass fibre reinforced stainless steel mesh polymer composite. Pigment & Resin Technology. 46(4). 276–285. 11 indexed citations
13.
Jenarthanan, M.P., et al.. (2017). Multi-objective optimization in end milling of GFRP composites using Taguchi techniques with principal component analysis. Multidiscipline Modeling in Materials and Structures. 13(1). 58–70. 7 indexed citations
14.
Jenarthanan, M.P., et al.. (2017). Experimental investigation and analysis of factors influencing delamination and thrust force during drilling of carbon-fibre reinforced polymer composites. Pigment & Resin Technology. 46(6). 507–524. 18 indexed citations
15.
Jenarthanan, M.P., et al.. (2017). Multi-objective optimization in end-milling of glass fiber reinforced polymer composites using desirability functional analysis and grey relational analysis. Multidiscipline Modeling in Materials and Structures. 13(3). 391–408. 3 indexed citations
16.
Jenarthanan, M.P. & R. Jeyapaul. (2015). Analysis and optimisation of machinability behaviour of CFRP composites using fuzzy logic. Pigment & Resin Technology. 44(1). 48–55. 4 indexed citations
17.
Jenarthanan, M.P., R. Jeyapaul, & S. Ramesh Kumar. (2015). Comparative analysis of delamination factor prediction using RSM and ANN during endmilling of GFRP composites. Australian Journal of Mechanical Engineering. 15(2). 111–124. 5 indexed citations
18.
Jenarthanan, M.P., et al.. (2015). Process parameters optimization on machining force and delamination factor in milling of GFRP composites using grey relational analysis. 2 indexed citations
19.
Jenarthanan, M.P. & R. Jeyapaul. (2014). Evaluation of machinability index on milling of GFRP Composites with different fibre orientations using solid carbide endmill with modified helix angles. International Journal of Engineering Science and Technology. 6(4). 1–1. 10 indexed citations
20.

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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