S.R. Karnik

3.1k total citations
66 papers, 2.6k citations indexed

About

S.R. Karnik is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, S.R. Karnik has authored 66 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 52 papers in Mechanical Engineering and 27 papers in Biomedical Engineering. Recurrent topics in S.R. Karnik's work include Advanced machining processes and optimization (48 papers), Advanced Machining and Optimization Techniques (45 papers) and Advanced Surface Polishing Techniques (27 papers). S.R. Karnik is often cited by papers focused on Advanced machining processes and optimization (48 papers), Advanced Machining and Optimization Techniques (45 papers) and Advanced Surface Polishing Techniques (27 papers). S.R. Karnik collaborates with scholars based in India, Portugal and Spain. S.R. Karnik's co-authors include V.N. Gaitonde, J. Paulo Davim, Juan Carlos Campos Rúbio, Alexandre Mendes Abrão, Angelina Correia, Luís Figueira, B. Siddeswarappa, Francisco Mata, Vinayak N. Kulkarni and A. B. Raju and has published in prestigious journals such as Journal of Materials Processing Technology, Materials and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

S.R. Karnik

63 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.R. Karnik India 29 2.3k 1.6k 1.2k 332 316 66 2.6k
Pedro Reis Portugal 18 2.3k 1.0× 1.6k 1.0× 1.3k 1.1× 319 1.0× 423 1.3× 25 2.6k
Ashok Kumar Sahoo India 30 2.7k 1.2× 1.7k 1.0× 1.1k 0.9× 300 0.9× 455 1.4× 186 3.0k
C.C. Tsao Taiwan 20 2.3k 1.0× 1.8k 1.1× 1.6k 1.3× 235 0.7× 249 0.8× 24 2.4k
Jamal Sheikh-Ahmad United States 25 1.9k 0.8× 897 0.5× 791 0.7× 261 0.8× 486 1.5× 84 2.2k
Juan Carlos Campos Rúbio Brazil 26 2.9k 1.3× 2.0k 1.2× 1.8k 1.5× 285 0.9× 530 1.7× 104 3.5k
Hasan Gökkaya Türkiye 21 1.7k 0.7× 916 0.6× 759 0.6× 252 0.8× 330 1.0× 57 2.2k
Erol Kılıçkap Türkiye 19 1.5k 0.7× 845 0.5× 567 0.5× 151 0.5× 262 0.8× 47 1.8k
Alakesh Manna India 26 1.8k 0.8× 1.2k 0.8× 939 0.8× 109 0.3× 164 0.5× 91 2.1k
Mustafa Günay Türkiye 26 1.7k 0.7× 917 0.6× 637 0.5× 271 0.8× 274 0.9× 91 1.9k

Countries citing papers authored by S.R. Karnik

Since Specialization
Citations

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

Fields of papers citing papers by S.R. Karnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.R. Karnik. 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 S.R. Karnik. The network helps show where S.R. Karnik may publish in the future.

Co-authorship network of co-authors of S.R. Karnik

This figure shows the co-authorship network connecting the top 25 collaborators of S.R. Karnik. A scholar is included among the top collaborators of S.R. Karnik 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 S.R. Karnik. S.R. Karnik 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
2.
Kulkarni, Vinayak N., V.N. Gaitonde, S.R. Karnik, M. Manjaiah, & J. Paulo Davim. (2020). Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy. Materials. 13(9). 2184–2184. 38 indexed citations
3.
Gaitonde, V.N., S.R. Karnik, & J. Paulo Davim. (2013). Soft Computing Techniques for Machining of Composites. Trans Tech Publications Ltd. eBooks. 1 indexed citations
4.
Gaitonde, V.N., et al.. (2012). Experimental studies on hole quality and machinability characteristics in drilling of unreinforced and reinforced polyamides. Journal of Composite Materials. 48(1). 21–36. 33 indexed citations
5.
Gaitonde, V.N., et al.. (2012). Some Studies on Wear and Corrosion Properties of Al5083/Al<sub>2</sub>O<sub>3</sub>/Graphite Hybrid Composites. Journal of Minerals and Materials Characterization and Engineering. 11(7). 695–703. 20 indexed citations
6.
Basavarajappa, S., et al.. (2011). Experimental Investigations on Some Aspects of Machinability in Drilling of Glass Epoxy Polymer Composites. Journal of Thermoplastic Composite Materials. 25(3). 363–387. 29 indexed citations
7.
Gaitonde, V.N., S.R. Karnik, Luís Figueira, & J. Paulo Davim. (2010). Performance comparison of conventional and wiper ceramic inserts in hard turning through artificial neural network modeling. The International Journal of Advanced Manufacturing Technology. 52(1-4). 101–114. 72 indexed citations
8.
Gaitonde, V.N. & S.R. Karnik. (2010). Minimizing burr size in drilling using artificial neural network (ANN)-particle swarm optimization (PSO) approach. Journal of Intelligent Manufacturing. 23(5). 1783–1793. 55 indexed citations
9.
Davim, J. Paulo, et al.. (2010). Machinability Evaluation in Unreinforced and Reinforced PEEK Composites using Response Surface Models. Journal of Thermoplastic Composite Materials. 23(1). 5–18. 35 indexed citations
10.
Karnik, S.R., et al.. (2009). Robust Design of Power System Stabilizer Using Taguchi Technique and Particle Swarm Optimization. 2. 515–520. 6 indexed citations
11.
Davim, J. Paulo, et al.. (2009). Machinability Evaluation in Unreinforced and Reinforced PEEK Composites using Response Surface Models. Journal of Thermoplastic Composite Materials. 23(1). 5–18. 35 indexed citations
12.
Gaitonde, V.N., S.R. Karnik, Francisco Mata, & J. Paulo Davim. (2009). Modeling and Analysis of Machinability Characteristics in PA6 and PA66 GF30 Polyamides through Artificial Neural Network. Journal of Thermoplastic Composite Materials. 23(3). 313–336. 38 indexed citations
13.
Gaitonde, V.N., et al.. (2009). Predicting burr size in drilling of AISI 316L stainless steel using response surface analysis. International Journal of Materials and Product Technology. 35(1/2). 228–228. 7 indexed citations
14.
Gaitonde, V.N., S.R. Karnik, & J. Paulo Davim. (2008). Prediction and optimization of surface roughness in milling of medium density fiberboard (MDF) based on Taguchi orthogonal array experiments. Holzforschung. 62(2). 209–214. 13 indexed citations
15.
Karnik, S.R., V.N. Gaitonde, & J. Paulo Davim. (2007). Integrating Taguchi principle with genetic algorithm to minimize burr size in drilling of AISI 316L stainless steel using an artificial neural network model. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 221(12). 1695–1704. 9 indexed citations
16.
Davim, J. Paulo, V.N. Gaitonde, & S.R. Karnik. (2007). Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models. Journal of Materials Processing Technology. 205(1-3). 16–23. 199 indexed citations
17.
Gaitonde, V.N., S.R. Karnik, & J. Paulo Davim. (2007). Taguchi multiple-performance characteristics optimization in drilling of medium density fibreboard (MDF) to minimize delamination using utility concept. Journal of Materials Processing Technology. 196(1-3). 73–78. 70 indexed citations
18.
Gaitonde, V.N., et al.. (2006). Multi-response optimization in drilling using Taguchi's quality loss function. Indian Journal of Engineering and Materials Sciences. 13(6). 484–488. 15 indexed citations
19.
Gaitonde, V.N., et al.. (2006). Taguchi approach with multiple performance characteristics for burr size minimization in drilling. Journal of Scientific & Industrial Research. 65(12). 977–981. 5 indexed citations
20.
Gaitonde, V.N., et al.. (2005). GA applications to RSM based models for burr size reduction in drilling. Journal of Scientific & Industrial Research. 64(5). 347–353. 20 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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