B. K. Vinayagam

1.0k total citations
53 papers, 841 citations indexed

About

B. K. Vinayagam is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, B. K. Vinayagam has authored 53 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Mechanical Engineering, 35 papers in Electrical and Electronic Engineering and 25 papers in Biomedical Engineering. Recurrent topics in B. K. Vinayagam's work include Advanced machining processes and optimization (35 papers), Advanced Machining and Optimization Techniques (33 papers) and Advanced Surface Polishing Techniques (21 papers). B. K. Vinayagam is often cited by papers focused on Advanced machining processes and optimization (35 papers), Advanced Machining and Optimization Techniques (33 papers) and Advanced Surface Polishing Techniques (21 papers). B. K. Vinayagam collaborates with scholars based in India. B. K. Vinayagam's co-authors include S. Prabhu, R. Gangadevi, T. Rajasekaran, K. Palanikumar, Uma M, S. Senthilraja, Merbin John, B. Bhaskar, S. Prakash and Suresh Perinpanayagam and has published in prestigious journals such as Neural Computing and Applications, Journal of Thermal Analysis and Calorimetry and Polymer Bulletin.

In The Last Decade

B. K. Vinayagam

52 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. K. Vinayagam India 18 700 421 383 123 89 53 841
Atul B. Andhare India 16 569 0.8× 289 0.7× 215 0.6× 80 0.7× 112 1.3× 36 718
Ali Rıza Motorcu Türkiye 17 718 1.0× 487 1.2× 395 1.0× 67 0.5× 72 0.8× 41 813
Wassila Bouzid Tunisia 14 614 0.9× 180 0.4× 276 0.7× 101 0.8× 85 1.0× 52 667
Adrián Rodríguez Spain 13 591 0.8× 240 0.6× 179 0.5× 51 0.4× 153 1.7× 23 673
Ruitao Peng China 18 716 1.0× 256 0.6× 237 0.6× 24 0.2× 93 1.0× 62 916
Xuanping Wang China 14 430 0.6× 126 0.3× 308 0.8× 83 0.7× 69 0.8× 23 548
T. A. El-Taweel Egypt 11 767 1.1× 660 1.6× 539 1.4× 81 0.7× 57 0.6× 11 866
Carsten Heinzel Germany 21 1.3k 1.9× 524 1.2× 991 2.6× 35 0.3× 179 2.0× 64 1.4k
C.K. Toh United Kingdom 12 720 1.0× 284 0.7× 299 0.8× 19 0.2× 113 1.3× 15 800
Le Gong China 14 926 1.3× 406 1.0× 244 0.6× 26 0.2× 201 2.3× 25 995

Countries citing papers authored by B. K. Vinayagam

Since Specialization
Citations

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

Fields of papers citing papers by B. K. Vinayagam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. K. Vinayagam

This figure shows the co-authorship network connecting the top 25 collaborators of B. K. Vinayagam. A scholar is included among the top collaborators of B. K. Vinayagam 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 B. K. Vinayagam. B. K. Vinayagam 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.
Vinayagam, B. K., et al.. (2020). Detection of damages on biaxial GFRP composite material using non-destructive technique. Polymer Bulletin. 78(5). 2569–2603. 11 indexed citations
2.
Prabhu, S., et al.. (2019). Thermal and surface analysis of copper–CNT and copper–graphene-based composite using Taguchi–Grey relational analysis. Australian Journal of Mechanical Engineering. 19(1). 95–106. 10 indexed citations
3.
Prabhu, S., et al.. (2018). Performance analysis of AlTiN/AlCrN coating on cemented carbide cutting tool using fuzzy logic analysis. Australian Journal of Mechanical Engineering. 18(sup1). S55–S66. 6 indexed citations
4.
Gangadevi, R. & B. K. Vinayagam. (2018). Experimental determination of thermal conductivity and viscosity of different nanofluids and its effect on a hybrid solar collector. Journal of Thermal Analysis and Calorimetry. 136(1). 199–209. 42 indexed citations
5.
Vinayagam, B. K., et al.. (2017). Ergonomic Level Improving of Armoured Fighting Vehicle Crew. Defence Science Journal. 68(1). 33–33. 1 indexed citations
6.
Bhaskar, B., et al.. (2017). Optimisation of internal roller burnishing process in CNC machining center using response surface methodology. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39(10). 4045–4057. 28 indexed citations
7.
Gangadevi, R., B. K. Vinayagam, & S. Senthilraja. (2017). Experimental investigations of hybrid PV/Spiral flow thermal collector system performance using Al2O3/water nanofluid. IOP Conference Series Materials Science and Engineering. 197. 12041–12041. 16 indexed citations
8.
9.
Vinayagam, B. K., et al.. (2015). Surface roughness prediction model using adaptive particle swarm optimization (APSO) algorithm. Journal of Intelligent & Fuzzy Systems. 28(1). 345–360. 9 indexed citations
10.
Vinayagam, B. K., et al.. (2015). Roughness Analysis of the Holes Drilled on Al / SiC Metal Matrix Composites Using Atomic Force Microscope. Applied Mechanics and Materials. 766-767. 837–843. 1 indexed citations
11.
Prabhu, S. & B. K. Vinayagam. (2015). Optimization of carbon nanotube based electrical discharge machining parameters using full factorial design and genetic algorithm. Australian Journal of Mechanical Engineering. 14(3). 161–173. 15 indexed citations
12.
Prabhu, S., Uma M, & B. K. Vinayagam. (2014). Surface roughness prediction using Taguchi-fuzzy logic-neural network analysis for CNT nanofluids based grinding process. Neural Computing and Applications. 26(1). 41–55. 40 indexed citations
13.
Vinayagam, B. K., et al.. (2013). Optimization of nonlinear characteristics of ball burnishing process using Sugeno fuzzy neural system. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 36(1). 101–109. 23 indexed citations
14.
Prabhu, S. & B. K. Vinayagam. (2013). Multi objective optimisation of SWCNT-based electrical discharge machining process using grey relational and fuzzy logic analysis. International Journal of Machining and Machinability of Materials. 13(4). 439–439. 10 indexed citations
15.
Prabhu, S., Uma M, & B. K. Vinayagam. (2013). Adaptive neuro-fuzzy interference system modelling of carbon nanotube-based electrical discharge machining process. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 35(4). 505–516. 19 indexed citations
16.
Bhaumik, Shubrajit, et al.. (2012). Finite element modeling and analysis of zigzag and armchair type single wall carbon nanotube. 4(8). 260–266. 5 indexed citations
17.
Prabhu, S. & B. K. Vinayagam. (2012). AFM Nano Analysis of Inconel 825 with Single Wall Carbon Nano Tube in Die Sinking EDM Process Using Taguchi Analysis. Arabian Journal for Science and Engineering. 38(6). 1599–1613. 29 indexed citations
18.
Vinayagam, B. K., et al.. (2011). Investigation of roller burnishing process on aluminium 63400 material. Australian Journal of Mechanical Engineering. 8(1). 47–54. 6 indexed citations
19.
Prabhu, S. & B. K. Vinayagam. (2010). Nano surface generation of grinding process using carbon nano tubes. Sadhana. 35(6). 747–760. 47 indexed citations
20.
Prabhu, S. & B. K. Vinayagam. (2009). NANO SURFACE GENERATION OF GRINDING PROCESS USING ELECTROLYTIC IN-PROCESS DRESSING (ELID) TECHNIQUES WITH SINGLE WALL CARBON NANO TUBES. 1 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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