K. Leo Dev Wins

647 total citations
37 papers, 491 citations indexed

About

K. Leo Dev Wins is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, K. Leo Dev Wins has authored 37 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanical Engineering, 18 papers in Electrical and Electronic Engineering and 12 papers in Biomedical Engineering. Recurrent topics in K. Leo Dev Wins's work include Advanced machining processes and optimization (21 papers), Advanced Machining and Optimization Techniques (18 papers) and Aluminum Alloys Composites Properties (13 papers). K. Leo Dev Wins is often cited by papers focused on Advanced machining processes and optimization (21 papers), Advanced Machining and Optimization Techniques (18 papers) and Aluminum Alloys Composites Properties (13 papers). K. Leo Dev Wins collaborates with scholars based in India, Germany and United Arab Emirates. K. Leo Dev Wins's co-authors include C. Velmurugan, A. Varadarajan, S. Arun, E. Kirubakaran, A. Brusly Solomon, N. Senthilkumar, J. David Raja Selvam, B. Ramamoorthy, R. Deepak Joel Johnson and K.R. Ravi and has published in prestigious journals such as Renewable Energy, Ceramics International and Materials Today Proceedings.

In The Last Decade

K. Leo Dev Wins

36 papers receiving 454 citations

Peers

K. Leo Dev Wins
B. Ravi Sankar India
И. Н. Ердаков Russia
K. Jayakumar India
Engin Nas Türkiye
Thella Babu Rao India
S. Marichamy India
S. Sudhagar India
T. Tamizharasan India
V. Balaji India
B. Ravi Sankar India
K. Leo Dev Wins
Citations per year, relative to K. Leo Dev Wins K. Leo Dev Wins (= 1×) peers B. Ravi Sankar

Countries citing papers authored by K. Leo Dev Wins

Since Specialization
Citations

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

Fields of papers citing papers by K. Leo Dev Wins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Leo Dev Wins

This figure shows the co-authorship network connecting the top 25 collaborators of K. Leo Dev Wins. A scholar is included among the top collaborators of K. Leo Dev Wins 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. Leo Dev Wins. K. Leo Dev Wins 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.
Wins, K. Leo Dev, et al.. (2024). A grey relational-Taguchi analysis on high-speed milling of duplex and super duplex stainless steels used in chemical tankers. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(7). 5153–5170. 1 indexed citations
2.
Smart, D.S. Robinson, et al.. (2024). Synergistic effect of niobium carbide and titanium nanoparticles on the mechanical and microstructural properties of Al-Zn-Mg-Cu alloy hybrid composites. Engineering Research Express. 6(2). 25559–25559. 1 indexed citations
3.
Wins, K. Leo Dev, et al.. (2023). Empirical modeling of profile roughness parameters during end milling of aluminium alloy 5052/tungsten carbide/graphite hybrid composite. Materialwissenschaft und Werkstofftechnik. 54(12). 1537–1541.
4.
Velmurugan, C., et al.. (2022). Mathematical modelling of machining performance during dry face milling of AA5052/tungsten carbide/graphite hybrid composite. AIP conference proceedings. 2659. 180043–180043. 2 indexed citations
5.
Wins, K. Leo Dev, et al.. (2021). Influence of turning parameters on the machinability of Al6061/ZrB2 & ZrC hybrid in-situ Aluminium Matrix Composite. Australian Journal of Mechanical Engineering. 21(4). 1218–1229. 7 indexed citations
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Velmurugan, C., et al.. (2020). Effect of nano cupric oxide coating on the forced convection performance of a mixed-mode flat plate solar dryer. Renewable Energy. 155. 1165–1172. 47 indexed citations
9.
Wins, K. Leo Dev, et al.. (2020). Experimental Investigation for the Multi-objective Optimization of Machining Parameters on AISI D2 Steel Using Particle Swarm Optimization Coupled with Artificial Neural Network. Journal of Advanced Manufacturing Systems. 19(3). 589–606. 17 indexed citations
10.
Wins, K. Leo Dev, et al.. (2019). An experimental study on the prediction of grinding wheel dressing intervals by relating wheel loading and surface roughness. International Journal of Abrasive Technology. 9(3). 171–171. 1 indexed citations
11.
Arun, S., et al.. (2019). An experimental study on the prediction of grinding wheel dressing intervals by relating wheel loading and surface roughness. International Journal of Abrasive Technology. 9(3). 171–171. 1 indexed citations
12.
Wins, K. Leo Dev, et al.. (2019). Experimental investigation and characterization of in situ synthesized sub micron ZrB2-ZrC particles reinforced hybrid AA6061 aluminium composite. Materials Research Express. 6(10). 1050e1–1050e1. 1 indexed citations
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Wins, K. Leo Dev, et al.. (2016). Comparison of surface roughness and chip characteristics obtained under different modes of lubrication during hard turning of AISI H13 tool work steel.. IOP Conference Series Materials Science and Engineering. 149. 12017–12017. 7 indexed citations
15.
Wins, K. Leo Dev, et al.. (2016). Quantitative Analysis of Grinding Wheel Loading Using Image Processing. Procedia Technology. 25. 885–891. 15 indexed citations
16.
Wins, K. Leo Dev, et al.. (2016). Evaluation of the performance during hard turning of OHNS steel with minimal cutting fluid application and its comparison with minimum quantity lubrication. IOP Conference Series Materials Science and Engineering. 149. 12021–12021. 7 indexed citations
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Kirubakaran, E., et al.. (2014). Surface Roughness Prediction using Artificial Neural Network in Hard Turning of AISI H13 Steel with Minimal Cutting Fluid Application. Procedia Engineering. 97. 205–211. 50 indexed citations
19.
Johnson, R. Deepak Joel, et al.. (2014). Optimization of Cutting Parameters and Fluid Application Parameters during Turning of OHNS Steel. Procedia Engineering. 97. 172–177. 11 indexed citations
20.
Wins, K. Leo Dev, A. Varadarajan, & B. Ramamoorthy. (2010). Optimization of Surface Milling of Hardened AISI4340 Steel with Minimal Fluid Application Using a High Velocity Narrow Pulsing Jet of Cutting Fluid. Engineering. 2(10). 793–801. 10 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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