S. S. Banwait

769 total citations
40 papers, 532 citations indexed

About

S. S. Banwait is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, S. S. Banwait has authored 40 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 10 papers in Automotive Engineering. Recurrent topics in S. S. Banwait's work include Advanced Machining and Optimization Techniques (13 papers), Advanced machining processes and optimization (12 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). S. S. Banwait is often cited by papers focused on Advanced Machining and Optimization Techniques (13 papers), Advanced machining processes and optimization (12 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). S. S. Banwait collaborates with scholars based in India. S. S. Banwait's co-authors include Kusum Meena, Alakesh Manna, Inderdeep Singh, Rupinder Singh, Manish Kumar Lila, Deepam Goyal, Hazoor Singh Sidhu, R. K. Gupta, V. Anil Kumar and Bhupendra Kumar Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Polymer Degradation and Stability and Materials Letters.

In The Last Decade

S. S. Banwait

38 papers receiving 482 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. S. Banwait India 11 352 145 123 80 75 40 532
N. Arunkumar India 14 334 0.9× 123 0.8× 151 1.2× 64 0.8× 66 0.9× 54 560
A. Ramesh India 14 484 1.4× 111 0.8× 107 0.9× 40 0.5× 86 1.1× 41 737
V. Jayakumar India 14 391 1.1× 109 0.8× 83 0.7× 94 1.2× 90 1.2× 78 590
K. Marimuthu India 13 482 1.4× 259 1.8× 207 1.7× 32 0.4× 90 1.2× 54 678
Gaurav Prashar India 15 488 1.4× 57 0.4× 115 0.9× 175 2.2× 129 1.7× 31 880
Ravinder Kumar India 9 426 1.2× 133 0.9× 75 0.6× 32 0.4× 75 1.0× 20 566
M. Ravikumar India 16 410 1.2× 47 0.3× 92 0.7× 160 2.0× 47 0.6× 34 607
Swastik Pradhan India 11 479 1.4× 226 1.6× 203 1.7× 42 0.5× 47 0.6× 47 622
Usama M. Attia United Kingdom 13 440 1.3× 94 0.6× 348 2.8× 207 2.6× 30 0.4× 23 769
Geeta Agnihotri India 10 461 1.3× 48 0.3× 48 0.4× 43 0.5× 119 1.6× 24 571

Countries citing papers authored by S. S. Banwait

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Banwait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Banwait

This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Banwait. A scholar is included among the top collaborators of S. S. Banwait 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. S. Banwait. S. S. Banwait 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.
Singh, Rupinder, et al.. (2024). Effect of Preprocessing Temperature On the Recycling of Waste Direct Metal Laser Sintering Powder. Transactions of the Indian Institute of Metals. 77(11). 3487–3497. 3 indexed citations
2.
Singh, Rupinder, et al.. (2024). On the Use of Recycled Blended Metallic Powder in the Direct Metal Laser Sintering. Journal of The Institution of Engineers (India) Series C. 105(5). 1367–1372. 1 indexed citations
3.
Singh, Rupinder, et al.. (2022). On the use of thermoplastic composite slit as a guide for ECM. Sadhana. 47(3). 5 indexed citations
4.
Singh, Rupinder, et al.. (2022). On 3D printing of dental crowns with direct metal laser sintering for canine. Journal of Mechanical Science and Technology. 36(8). 4197–4203. 12 indexed citations
5.
Singh, Rupinder, et al.. (2022). Comparison of DMLS and DMLS-waste assisted investment casting. Materials Letters. 324. 132782–132782. 9 indexed citations
6.
Singh, Rupinder, et al.. (2022). On pre and post-processing parameters of FDM for the development of crowns for strategic teeth of canines. Sadhana. 47(3). 2 indexed citations
7.
Singh, Rupinder, et al.. (2021). A comparative study on investment casting of dental crowns for veterinary dentistry by using ABS patterns with and without wax coating. SHILAP Revista de lepidopterología. 309. 1020–1020. 6 indexed citations
8.
Singh, Bhupendra Kumar, Ujendra Kumar Komal, Yashpal Singh, S. S. Banwait, & Inderdeep Singh. (2021). Development of banana fiber reinforced composites from plastic waste. Materials Today Proceedings. 44. 2194–2198. 13 indexed citations
9.
Banwait, S. S., et al.. (2020). Defect Analysis and Process Parameter Optimisation in Sand Casting. International Journal of Engineering and Advanced Technology. 9(6). 390–395.
10.
Goyal, Deepam, et al.. (2020). Evaluation of die-sinking Electric Discharge Machine with Smart Machine Controller. Metal Powder Report. 76(1). 25–31. 3 indexed citations
11.
Goyal, Deepam, et al.. (2019). Effect of Key Parameters on Fretting Behaviour of Wire Rope: A Review. Archives of Computational Methods in Engineering. 27(2). 549–561. 35 indexed citations
12.
Banwait, S. S., et al.. (2016). Experimental Investigations of Surface Modification of AISI 1045 Die Steel by Electro Discharge Machining Process. American journal of mechanical engineering. 4(4). 131–141. 5 indexed citations
13.
Banwait, S. S., et al.. (2016). Study of Variation of Groove Angle on Performance Characteristics of Two-Axial Groove Journal Bearing. American journal of mechanical engineering. 4(3). 82–91. 1 indexed citations
14.
Kumar, Rajeev & S. S. Banwait. (2016). Experimental Investigation of Different Additives used for Surface Modification of EN31 Steel by EDM Process. American journal of mechanical engineering. 4(6). 226–235. 3 indexed citations
15.
Garg, Satish K., et al.. (2013). Optimisation of High Frequency Seam Welding Parameters By Taguchi Method. 2(2). 78–83. 2 indexed citations
16.
Sidhu, Hazoor Singh, et al.. (2013). Development of RSM Model in Surface Modification of EN-31 Die Steel Material Using Copper-Tungsten Powder Metallurgy Semi-Sintered Electrodes by EDM Process. American journal of mechanical engineering. 1(6). 155–160. 3 indexed citations
17.
Manna, Alakesh, et al.. (2013). Effects Of Pulse Peak Current And Spark Gap Set Voltage During Machining Of PR-AL-SiC-MMC,s by WEDM. 2(8). 1 indexed citations
18.
Banwait, S. S., et al.. (2013). An Exhaustive Review Of Die Sinking Electrical Discharge Machining Process And Scope For Future Research. Zenodo (CERN European Organization for Nuclear Research). 7(6). 1104–1110. 6 indexed citations
19.
Banwait, S. S., et al.. (2011). Multi-objective optimisation of electrical discharge machining process using Derringer's desirability function approach. International Journal of Materials Engineering Innovation. 2(3/4). 203–203. 12 indexed citations
20.
Banwait, S. S., et al.. (2011). Mathematical Modeling of Electrical Discharge Machining Process through Response Surface Methodology. 5 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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