Sunil J. Raykar

526 total citations
16 papers, 391 citations indexed

About

Sunil J. Raykar is a scholar working on Mechanical Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Sunil J. Raykar has authored 16 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Mechanical Engineering, 9 papers in Biomedical Engineering and 8 papers in Automotive Engineering. Recurrent topics in Sunil J. Raykar's work include Advanced Machining and Optimization Techniques (8 papers), Additive Manufacturing and 3D Printing Technologies (8 papers) and Advanced machining processes and optimization (8 papers). Sunil J. Raykar is often cited by papers focused on Advanced Machining and Optimization Techniques (8 papers), Additive Manufacturing and 3D Printing Technologies (8 papers) and Advanced machining processes and optimization (8 papers). Sunil J. Raykar collaborates with scholars based in Italy, India and Slovenia. Sunil J. Raykar's co-authors include Doriana M. D’Addona, Jaiprakash Bhamu, Dharmendra Singh, Davorin Kramar, Dharmendra Singh, Uday A. Dabade and Dharmendra Singh and has published in prestigious journals such as Materials, Journal of Materials Engineering and Performance and Materials Today Proceedings.

In The Last Decade

Sunil J. Raykar

16 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunil J. Raykar Italy 12 287 170 136 133 128 16 391
Devi K. Kalla United States 7 266 0.9× 164 1.0× 94 0.7× 154 1.2× 71 0.6× 17 385
Shoaib Sarfraz United Kingdom 12 284 1.0× 173 1.0× 112 0.8× 97 0.7× 84 0.7× 28 469
M.P. Jenarthanan India 14 364 1.3× 208 1.2× 52 0.4× 132 1.0× 61 0.5× 59 485
Hicham Chibane France 10 230 0.8× 73 0.4× 105 0.8× 92 0.7× 177 1.4× 26 361
Laurențiu Slătineanu Romania 11 349 1.2× 253 1.5× 68 0.5× 255 1.9× 78 0.6× 111 484
Rajkumar Chadge India 10 170 0.6× 214 1.3× 79 0.6× 75 0.6× 88 0.7× 47 401
Issam Hanafi Morocco 11 277 1.0× 196 1.2× 136 1.0× 74 0.6× 33 0.3× 34 409
Muhammad Harris New Zealand 12 194 0.7× 99 0.6× 99 0.7× 179 1.3× 280 2.2× 27 490
Gamini Suresh India 8 164 0.6× 58 0.3× 104 0.8× 69 0.5× 104 0.8× 34 314
Domnita Frăţilă Romania 8 348 1.2× 245 1.4× 113 0.8× 127 1.0× 34 0.3× 13 453

Countries citing papers authored by Sunil J. Raykar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil J. Raykar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil J. Raykar. 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 Sunil J. Raykar. The network helps show where Sunil J. Raykar may publish in the future.

Co-authorship network of co-authors of Sunil J. Raykar

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil J. Raykar. A scholar is included among the top collaborators of Sunil J. Raykar 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 Sunil J. Raykar. Sunil J. Raykar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Raykar, Sunil J., et al.. (2023). Post processing techniques used to improve the quality of 3D printed parts using FDM: State of art review and experimental work. Materials Today Proceedings. 13 indexed citations
2.
Raykar, Sunil J., et al.. (2023). Investigation and Analysis of Effect of Curing Process on Compressive Strength Performance of Stereolithography-Printed Components. Journal of Materials Engineering and Performance. 32(21). 9958–9967. 5 indexed citations
3.
Singh, Dharmendra, et al.. (2022). Multi-objective optimisation and analysis of fused deposition modelling parameters: best infill patterns. International Journal of Six Sigma and Competitive Advantage. 14(1). 18–18. 3 indexed citations
4.
Raykar, Sunil J., et al.. (2022). Complex Proportional Assessment (COPRAS) based Multiple-Criteria Decision Making (MCDM) paradigm for hard turning process parameters. Materials Today Proceedings. 59. 835–840. 18 indexed citations
5.
Raykar, Sunil J., et al.. (2022). Analysis of process parameters of 3D printing for surface finish, printing time and tensile strength. Materials Today Proceedings. 59. 841–846. 14 indexed citations
6.
Raykar, Sunil J., et al.. (2022). Analysis of microhardness and degree of work hardening (DWH) while turning Inconel 718 with high pressure coolant environment. Materials Today Proceedings. 59. 1088–1093. 3 indexed citations
7.
Singh, Dharmendra, et al.. (2021). Multi-objective optimization of process parameters of Fused Deposition Modeling (FDM) for printing Polylactic Acid (PLA) polymer components. Materials Today Proceedings. 45. 4880–4885. 57 indexed citations
8.
D’Addona, Doriana M., Sunil J. Raykar, Dharmendra Singh, & Davorin Kramar. (2021). Multi Objective Optimization of Fused Deposition Modeling Process Parameters with Desirability Function. Procedia CIRP. 99. 707–710. 22 indexed citations
9.
Raykar, Sunil J., et al.. (2021). Multi-criteria decision making paradigm for selection of best printing parameters of fused deposition modeling. Materials Today Proceedings. 44. 2562–2565. 11 indexed citations
10.
D’Addona, Doriana M. & Sunil J. Raykar. (2019). Thermal Modeling of Tool Temperature Distribution during High Pressure Coolant Assisted Turning of Inconel 718. Materials. 12(3). 408–408. 29 indexed citations
11.
Raykar, Sunil J. & Doriana M. D’Addona. (2019). Selection of Best Printing Parameters of Fused Deposition modeling using VIKOR. Materials Today Proceedings. 27. 344–347. 13 indexed citations
12.
Raykar, Sunil J. & Uday A. Dabade. (2017). Optimization of High Pressure Coolant Assisted Turning of Inconel 718 using TOPSIS. 4 indexed citations
13.
D’Addona, Doriana M., et al.. (2017). High Speed Machining of Inconel 718: Tool Wear and Surface Roughness Analysis. Procedia CIRP. 62. 269–274. 78 indexed citations
14.
D’Addona, Doriana M. & Sunil J. Raykar. (2016). Analysis of Surface Roughness in Hard Turning Using Wiper Insert Geometry. Procedia CIRP. 41. 841–846. 56 indexed citations
15.
Raykar, Sunil J., et al.. (2015). Multi-objective Optimization of High Speed Turning of Al 7075 Using Grey Relational Analysis. Procedia CIRP. 33. 293–298. 49 indexed citations
16.
Raykar, Sunil J., Doriana M. D’Addona, & Davorin Kramar. (2014). Analysis of Surface Topology in Dry Machining of EN-8 Steel. Procedia Materials Science. 6. 931–938. 16 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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