S. Santosh

638 total citations
39 papers, 479 citations indexed

About

S. Santosh is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, S. Santosh has authored 39 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 16 papers in Mechanical Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in S. Santosh's work include Shape Memory Alloy Transformations (27 papers), Advanced Machining and Optimization Techniques (11 papers) and Advanced machining processes and optimization (5 papers). S. Santosh is often cited by papers focused on Shape Memory Alloy Transformations (27 papers), Advanced Machining and Optimization Techniques (11 papers) and Advanced machining processes and optimization (5 papers). S. Santosh collaborates with scholars based in India, United States and South Korea. S. Santosh's co-authors include V. Sampath, K. Rajkumar, K. Rajkumar, N. B. Naduvinamani, Kamal Kishore, A. Gnanavelbabu, T. S. Srivatsan, Nitin Ambhore, S.S. Kalyan Kamal and G. Sudha Priyanga and has published in prestigious journals such as Journal of Alloys and Compounds, Journal of Magnetism and Magnetic Materials and Materials.

In The Last Decade

S. Santosh

38 papers receiving 457 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. Santosh India 15 266 245 106 83 73 39 479
Gourhari Ghosh India 12 337 1.3× 141 0.6× 116 1.1× 258 3.1× 104 1.4× 22 479
Fengzhen Sun United Kingdom 13 168 0.6× 98 0.4× 52 0.5× 80 1.0× 227 3.1× 26 449
A.M. Hassan Egypt 10 283 1.1× 176 0.7× 52 0.5× 63 0.8× 42 0.6× 21 405
Y. B. Guo United States 12 512 1.9× 135 0.6× 133 1.3× 215 2.6× 85 1.2× 30 588
M. Zupan United States 9 350 1.3× 278 1.1× 47 0.4× 89 1.1× 195 2.7× 12 561
Haotian Yang China 13 215 0.8× 111 0.5× 80 0.8× 90 1.1× 59 0.8× 48 387
C. Chandrasekhara Sastry India 12 235 0.9× 93 0.4× 88 0.8× 73 0.9× 30 0.4× 40 325
Hemant Chouhan India 13 202 0.8× 173 0.7× 46 0.4× 66 0.8× 305 4.2× 34 500
V.F. Ruisi Italy 14 406 1.5× 103 0.4× 57 0.5× 51 0.6× 238 3.3× 19 516

Countries citing papers authored by S. Santosh

Since Specialization
Citations

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

Fields of papers citing papers by S. Santosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Santosh. A scholar is included among the top collaborators of S. Santosh 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. Santosh. S. Santosh 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.
Santosh, S., et al.. (2024). A review on CuAlNi shape memory alloys: Production methods, applications and current trends. Materials Today Proceedings. 2 indexed citations
2.
Santosh, S., et al.. (2024). Investigations on the interaction of laser parameters for efficient microdrilling of NiTiV smart alloy system. Laser Physics. 34(8). 85101–85101. 3 indexed citations
3.
Swaminathan, G., V. Sampath, & S. Santosh. (2024). Effect of cobalt addition on thermal cycling behaviour of Ti50Ni(50−x)cox shape memory alloys. Physica Scripta. 99(3). 35927–35927. 1 indexed citations
4.
Santosh, S., et al.. (2024). Study on the effects of ultrasonic vibration-assisted wire-EDM machining parameters on material removal rate and surface roughness of NiTiV shape memory alloy. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(6). 3795–3808. 1 indexed citations
5.
6.
Santosh, S., et al.. (2024). Influence of electrochemical machining on shape memory and surface characteristics of nickel-titanium-cobalt shape memory alloy: An experimental study. Materials and Manufacturing Processes. 39(13). 1919–1932. 2 indexed citations
7.
Santosh, S., et al.. (2024). Elevated Temperature Deformation Behavior of Novel NiTiAg Shape Memory Alloys: A Comparison Between Various Constitutive Models and Experimental Flow Curves. Journal of Materials Engineering and Performance. 34(14). 13974–13989. 1 indexed citations
8.
9.
Santosh, S., et al.. (2023). Unravelling the use of silica recovered from waste foundry sand in sustainable water jet machining of a copper-based ternary shape memory alloy. Materials Today Sustainability. 24. 100553–100553. 7 indexed citations
10.
Priyanga, G. Sudha, et al.. (2023). Structural and mechanical properties of NiTiAg shape memory alloys: ab-initio study. Modelling and Simulation in Materials Science and Engineering. 31(6). 65004–65004. 2 indexed citations
11.
Santosh, S., et al.. (2023). Environment-Induced Degradation of Shape Memory Alloys: Role of Alloying and Nature of Environment. Materials. 16(16). 5660–5660. 5 indexed citations
12.
Santosh, S., et al.. (2022). Surface quality and morphology of NiTiCuZr shape memory alloy machined using thermal-energy processes: an examination of comparative topography. Surface Topography Metrology and Properties. 10(3). 35019–35019. 21 indexed citations
13.
Santosh, S., et al.. (2022). Fabrication, processing and characterization of Cu-based smart alloys. Materials Today Proceedings. 72. 2497–2500. 2 indexed citations
14.
Santosh, S., et al.. (2022). Preparation, characterization and dynamic mechanical analysis of CuZnAl shape memory alloys. Materials Today Proceedings. 72. 2476–2479. 5 indexed citations
15.
Rajkumar, K., et al.. (2022). Fiber Laser Cutting of Cu–Zr Added Quaternary NiTi Shape Memory Alloy: Experimental Investigation and Optimization. Arabian Journal for Science and Engineering. 48(3). 3665–3679. 20 indexed citations
16.
Rajkumar, K., et al.. (2021). Enhancement of machining and surface quality of quaternary alloyed NiTiCuZr shape memory alloy through ultrasonic vibration coupled WEDM. Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications. 236(4). 816–833. 13 indexed citations
17.
Sampath, V., et al.. (2020). The Effect of Quenching Methods on Transformation Characteristics and Microstructure of an NiTiCu Shape Memory Alloy. Transactions of the Indian Institute of Metals. 73(6). 1481–1488. 17 indexed citations
18.
Santosh, S. & V. Sampath. (2019). Effect of Ternary Addition of Cobalt on Shape Memory Characteristics of Ni–Ti Alloys. Transactions of the Indian Institute of Metals. 72(6). 1481–1484. 21 indexed citations
19.
Santosh, S., et al.. (2019). Influence of Cobalt on the Hot Deformation Characteristics of an NiTi Shape Memory Alloy. Transactions of the Indian Institute of Metals. 72(6). 1465–1468. 19 indexed citations
20.
Santosh, S., K. Rajkumar, & A. Gnanavelbabu. (2015). Effect of hBN Solid Lubricant Concentration on Machinability of Titanium (Ti-6Al-4V) Alloy. Materials science forum. 830-831. 87–90. 11 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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