M. Sekar

587 total citations
31 papers, 436 citations indexed

About

M. Sekar is a scholar working on Mechanical Engineering, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, M. Sekar has authored 31 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 7 papers in Mechanics of Materials and 6 papers in Biomedical Engineering. Recurrent topics in M. Sekar's work include Advanced machining processes and optimization (10 papers), Tribology and Wear Analysis (5 papers) and Advanced Surface Polishing Techniques (5 papers). M. Sekar is often cited by papers focused on Advanced machining processes and optimization (10 papers), Tribology and Wear Analysis (5 papers) and Advanced Surface Polishing Techniques (5 papers). M. Sekar collaborates with scholars based in India, South Korea and United States. M. Sekar's co-authors include Seung-Han Yang, J. Srinivas, A. Brusly Solomon, G. Ganesan, S. Palani, B. Suresha, U. Natarajan, J. Hemalatha, Chandan Kumar and Adıtya Kumar Sahu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Materials Processing Technology.

In The Last Decade

M. Sekar

29 papers receiving 409 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Sekar India	12	281	122	109	66	65	31	436
Qingbin Tong China	15	242 0.9×	59 0.5×	81 0.7×	91 1.4×	115 1.8×	45	583
Ratnam Chanamala India	11	198 0.7×	89 0.7×	76 0.7×	73 1.1×	17 0.3×	37	354
Jun-Hyub Park South Korea	11	182 0.6×	100 0.8×	94 0.9×	89 1.3×	49 0.8×	30	537
Ye Dai China	12	254 0.9×	62 0.5×	82 0.8×	23 0.3×	75 1.2×	46	374
Yu-Ren Wu Taiwan	17	499 1.8×	53 0.4×	89 0.8×	54 0.8×	64 1.0×	64	619
Hongkun Wu China	14	629 2.2×	93 0.8×	73 0.7×	141 2.1×	59 0.9×	21	796
Zhenzhi He China	17	301 1.1×	200 1.6×	75 0.7×	166 2.5×	27 0.4×	53	661
Stanisław Adamczak Poland	18	536 1.9×	65 0.5×	116 1.1×	80 1.2×	131 2.0×	99	666
Dongyun Wang China	14	475 1.7×	115 0.9×	64 0.6×	88 1.3×	70 1.1×	66	678

Countries citing papers authored by M. Sekar

Since Specialization

Citations

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

Fields of papers citing papers by M. Sekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sekar

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sekar. A scholar is included among the top collaborators of M. Sekar 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. Sekar. M. Sekar 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

Sekar, M., et al.. (2025). Unveiling optimal mother wavelets by COPRAS Method Analyzing speech signals despite face mask and shield obstacles. Scientific Reports. 15(1). 14044–14044. 2 indexed citations

Hemalatha, J., M. Sekar, Chandan Kumar, Adnan Gutub, & Adıtya Kumar Sahu. (2023). Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier. Journal of Information Security and Applications. 76. 103541–103541. 39 indexed citations

Sekar, M., et al.. (2023). Enhancement on the low-pressure shot peened process of monotonic plastic deformation behaviors of Ni–4Cu–3Mo alloy/super austenite stainless steel dissimilar joints using laser beam welding. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 238(2). 788–799. 1 indexed citations

Hemalatha, J., et al.. (2023). Towards the development of obstacle detection in railway tracks using thermal imaging. Neural Network World. 33(5). 337–355. 3 indexed citations

Hemalatha, J., et al.. (2021). An Efficient Steganalysis of Medical Images by Using Deep Learning Based Discrete Scalable Alex Net Convolutionary Neural Networks Classifier. Journal of Medical Imaging and Health Informatics. 11(10). 2667–2674. 2 indexed citations

Sekar, M., et al.. (2019). Experimental study of the thermal reaming of the borehole by axial plasmatron. Mining of Mineral Deposits. 13(1). 103–110. 4 indexed citations

Sekar, M., et al.. (2019). U-drill embedded with phase change heat transfer device for machining applications. Case Studies in Thermal Engineering. 15. 100533–100533. 3 indexed citations

Sekar, M., et al.. (2017). Machining Chatter Analysis for High Speed Milling Operations. IOP Conference Series Materials Science and Engineering. 247. 12014–12014.

Ganesan, G., et al.. (2017). Near perfect path generation of corners chamfered rectangle and single synthesis cam-link mechanism to generate special-slot path. Mechanics Based Design of Structures and Machines. 46(4). 483–498. 6 indexed citations

10.

Sekar, M., et al.. (2016). Evaluation of iron–epoxy metal nanocomposite in glass fibre and Kevlar. International Journal of Ambient Energy. 39(2). 122–126. 10 indexed citations

11.

Krishnasamy, Prabu, et al.. (2016). Analysis of tribological propertiesof lubricating gear oil with nanosilica particles. Journal of Achievements of Materials and Manufacturing Engineering. 79(2). 59–62. 3 indexed citations

12.

Suresha, B., et al.. (2016). Abrasive wear behaviour of thermoplastic copolyester elastomer composites: A statistical approach. International Journal of Precision Engineering and Manufacturing. 17(6). 755–763. 11 indexed citations

13.

Ganesan, G. & M. Sekar. (2014). Kinematic Analysis of Rectangular Path Generating Adjustable Four-Bar Linkage. Applied Mechanics and Materials. 592-594. 1094–1098. 8 indexed citations

14.

Sekar, M., et al.. (2014). Design and Implementation of High-Performance Real-Time Free-Form NURBS Interpolator in Micro CNC Machine Tool. Mechanics Based Design of Structures and Machines. 42(3). 296–311. 7 indexed citations

15.

Hemanth, D. Jude, B. Suresha, & M. Sekar. (2014). Physico-mechanical behaviour of thermoplastic co-polyester elastomer/polytetrafluroethylene composite with short fibers and microfillers. Journal of Composite Materials. 49(18). 2217–2229. 17 indexed citations

16.

Sekar, M., et al.. (2008). Parametric NURBS Curve Interpolators. International Journal of Precision Engineering and Manufacturing. 9(2). 84–92. 19 indexed citations

17.

Sekar, M., et al.. (2008). An Integrated Approach to the Improvement of Stability Lobes. International Journal of Precision Engineering and Manufacturing. 9(4). 83–85. 5 indexed citations

18.

Yang, Seung-Han, et al.. (2008). Optimization of electric discharge machining using simulated annealing. Journal of Materials Processing Technology. 209(9). 4471–4475. 87 indexed citations

19.

Sekar, M., et al.. (2008). Parametric NURBS Curve Interpolators : A Review. 13 indexed citations

20.

Sekar, M., et al.. (2007). Design of jerk bounded feedrate with ripple effect for adaptive nurbs interpolator. The International Journal of Advanced Manufacturing Technology. 37(5-6). 545–552. 18 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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