N. Baskar

1.3k total citations
56 papers, 956 citations indexed

About

N. Baskar is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, N. Baskar has authored 56 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Mechanical Engineering, 30 papers in Electrical and Electronic Engineering and 19 papers in Biomedical Engineering. Recurrent topics in N. Baskar's work include Advanced machining processes and optimization (34 papers), Advanced Machining and Optimization Techniques (30 papers) and Advanced Surface Polishing Techniques (19 papers). N. Baskar is often cited by papers focused on Advanced machining processes and optimization (34 papers), Advanced Machining and Optimization Techniques (30 papers) and Advanced Surface Polishing Techniques (19 papers). N. Baskar collaborates with scholars based in India, Denmark and United Kingdom. N. Baskar's co-authors include P. Asokan, R. Saravanan, G. Prabhaharan, R. Balasundaram, B. Suresh Kumar, M. Ravichandran, C Anand Chairman, G. Jayaprakash, Muthukannan Duraiselvam and M. Bhuvanesh Kumar and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of Materials Processing Technology.

In The Last Decade

N. Baskar

51 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Baskar India 15 735 365 257 241 138 56 956
Vimal Kumar Pathak India 18 506 0.7× 200 0.5× 123 0.5× 185 0.8× 24 0.2× 92 877
Jaber Abu Qudeiri United Arab Emirates 16 768 1.0× 426 1.2× 183 0.7× 351 1.5× 20 0.1× 71 1.1k
K. Sivakumar India 17 319 0.4× 89 0.2× 197 0.8× 179 0.7× 54 0.4× 63 816
M. Chandrasekaran India 20 1.0k 1.4× 582 1.6× 236 0.9× 341 1.4× 14 0.1× 100 1.3k
N. Manikandan India 21 1.0k 1.4× 848 2.3× 223 0.9× 452 1.9× 33 0.2× 102 1.3k
S. Ramabalan India 20 629 0.9× 75 0.2× 207 0.8× 155 0.6× 48 0.3× 62 1.2k
Asish Bandyopadhyay India 20 912 1.2× 381 1.0× 178 0.7× 225 0.9× 12 0.1× 69 1.2k
G. Rajyalakshmi India 17 558 0.8× 229 0.6× 168 0.7× 191 0.8× 21 0.2× 56 815
Hasan Öktem Türkiye 18 1.2k 1.6× 458 1.3× 418 1.6× 285 1.2× 16 0.1× 41 1.5k

Countries citing papers authored by N. Baskar

Since Specialization
Citations

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

Fields of papers citing papers by N. Baskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Baskar

This figure shows the co-authorship network connecting the top 25 collaborators of N. Baskar. A scholar is included among the top collaborators of N. Baskar 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 N. Baskar. N. Baskar 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.
Baskar, N., et al.. (2024). Optimization HW-GTAW process parameters in the joining of austenitic stainless steel with historic data design and zebra algorithm. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(4). 2587–2605. 2 indexed citations
2.
Baskar, N., et al.. (2024). PREDICTING FLIGHT DELAYS WITH ERROR CALCULATION USING MACHINE LEARNED CLASSIFIERS. 15(3). 1 indexed citations
3.
Duraiselvam, Muthukannan, et al.. (2023). A RETROSPECTIVE ANALYSIS ON DRILLING OPERATION AND ITS PARAMETERS: A CRITICAL REVIEW. Surface Review and Letters. 30(10).
4.
Duraiselvam, Muthukannan, et al.. (2021). Multi criteria decision making through TOPSIS and COPRAS on drilling parameters of magnesium AZ91. Journal of Magnesium and Alloys. 10(10). 2857–2874. 66 indexed citations
5.
Jayaprakash, G., et al.. (2020). Evaluation of desirability function approach and grey relation analysis for modeling circularity, perpendicularity and cylindricity in drilling magnesium AZ31. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 235(2). 238–248. 13 indexed citations
6.
Jayaprakash, G., et al.. (2020). GENETIC ALGORITHM-ASSISTED ARTIFICIAL NEURAL NETWORK FOR THE ESTIMATION OF DRILLING PARAMETERS OF MAGNESIUM AZ91 IN VERTICAL MILLING MACHINE. Surface Review and Letters. 27(10). 1950221–1950221. 9 indexed citations
7.
Jayaprakash, G., et al.. (2019). Evaluation of Desirability Function Approach and Genetic Algorithm optimization of drilling characteristics on Duplex 2205. Materials Today Proceedings. 22. 589–600. 8 indexed citations
8.
Kumar, B. Suresh, N. Baskar, & K. Rajaguru. (2019). Drilling operation: A review. Materials Today Proceedings. 21. 926–933. 14 indexed citations
9.
Baskar, N., et al.. (2019). Performance of Cutting Tool with Cross-Chevron Surface Texture Filled with Green Synthesized Aluminium Oxide Nanoparticles. Scientific Reports. 9(1). 17803–17803. 23 indexed citations
10.
Baskar, N., et al.. (2018). Study on Drilling Process Parameters - Review. 6(7). 1 indexed citations
11.
Baskar, N., et al.. (2018). Multi Objective Optimization of machining parameters for Hard Turning OHNS/AISI H13 material, Using Genetic Algorithm. Materials Today Proceedings. 5(2). 6897–6905. 11 indexed citations
12.
Kumar, B. Suresh, V. Vijayan, & N. Baskar. (2016). Optimization of Drilling Process Parameters for Material Removal Rate and Surface Roughness on Titanium Alloy using Response Surface Methodology and Fire Fly Algorithm. Asian Journal of Research in Social Sciences and Humanities. 6(5). 1251–1251. 2 indexed citations
13.
Govindan, Kannan, R. Balasundaram, N. Baskar, & P. Asokan. (2016). A hybrid approach for minimizing makespan in permutation flowshop scheduling. Journal of Systems Science and Systems Engineering. 26(1). 50–76. 17 indexed citations
14.
Ramesh, K., et al.. (2014). Optimization of Sheet Metal Parts Nesting Using Genetic Algorithm. International Review of Mechanical Engineering (IREME). 8(4). 810–815. 1 indexed citations
15.
Baskar, N., et al.. (2014). Effect of process parameters on the electrical discharge machining of aluminum metal matrix composites through a response surface methodology approach. Science and Engineering of Composite Materials. 23(2). 145–154. 6 indexed citations
16.
Gayatri, Rahulkumar & N. Baskar. (2014). Performance analysis of non-traditional algorithmic parameters in machining operation. The International Journal of Advanced Manufacturing Technology. 77(1-4). 443–460. 13 indexed citations
17.
Baskar, N., et al.. (2011). Application of Particle Swarm Optimization technique for achieving desired milled surface roughness in minimum machining time. Expert Systems with Applications. 39(5). 5982–5989. 90 indexed citations
18.
Baskar, N., et al.. (2009). Optimization techniques for machining operations: a retrospective research based on various mathematical models. The International Journal of Advanced Manufacturing Technology. 48(9-12). 1075–1090. 45 indexed citations
19.
Baskar, N., et al.. (2006). Xenon as an anaesthetic gas. British Journal of Hospital Medicine. 67(12). 658–661. 3 indexed citations
20.
Baskar, N., P. Asokan, R. Saravanan, & G. Prabhaharan. (2006). Selection of optimal machining parameters for multi-tool milling operations using a memetic algorithm. Journal of Materials Processing Technology. 174(1-3). 239–249. 44 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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