S.S. Mani Prabu

893 total citations
34 papers, 685 citations indexed

About

S.S. Mani Prabu is a scholar working on Materials Chemistry, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, S.S. Mani Prabu has authored 34 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Materials Chemistry, 13 papers in Mechanical Engineering and 5 papers in Computational Mechanics. Recurrent topics in S.S. Mani Prabu's work include Shape Memory Alloy Transformations (27 papers), High Entropy Alloys Studies (6 papers) and Additive Manufacturing Materials and Processes (5 papers). S.S. Mani Prabu is often cited by papers focused on Shape Memory Alloy Transformations (27 papers), High Entropy Alloys Studies (6 papers) and Additive Manufacturing Materials and Processes (5 papers). S.S. Mani Prabu collaborates with scholars based in India, Russia and United States. S.S. Mani Prabu's co-authors include I. A. Palani, S. Jayachandran, M. Manikandan, Jay Vora, Vivek Patel, Rakesh Chaudhari, Dilip M. Parikh, Natalia Resnina, Sergey Belyaev and Luís Norberto López de Lacalle and has published in prestigious journals such as Materials Science and Engineering A, IEEE Access and Applied Surface Science.

In The Last Decade

S.S. Mani Prabu

31 papers receiving 667 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. Mani Prabu India 15 447 371 170 142 76 34 685
S. Santosh India 15 245 0.5× 266 0.7× 106 0.6× 83 0.6× 18 0.2× 39 479
Xuefeng Yao China 15 201 0.4× 255 0.7× 89 0.5× 213 1.5× 123 1.6× 28 670
Zejia Zhao China 13 126 0.3× 280 0.8× 186 1.1× 187 1.3× 75 1.0× 31 474
Haiyan Zhao China 16 180 0.4× 418 1.1× 111 0.7× 149 1.0× 24 0.3× 41 639
Titus Thankachan India 20 329 0.7× 1.1k 3.1× 328 1.9× 167 1.2× 70 0.9× 39 1.3k
Meltem Altın Karataş Türkiye 11 106 0.2× 522 1.4× 249 1.5× 241 1.7× 120 1.6× 17 782
R. Padmanabhan India 19 249 0.6× 752 2.0× 85 0.5× 158 1.1× 73 1.0× 69 977
Banafsheh Sajadi Netherlands 10 210 0.5× 290 0.8× 102 0.6× 238 1.7× 18 0.2× 15 584
Chen Ding China 14 91 0.2× 343 0.9× 47 0.3× 144 1.0× 44 0.6× 40 580

Countries citing papers authored by S.S. Mani Prabu

Since Specialization
Citations

This map shows the geographic impact of S.S. Mani Prabu'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. Mani Prabu 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. Mani Prabu more than expected).

Fields of papers citing papers by S.S. Mani Prabu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.S. Mani Prabu

This figure shows the co-authorship network connecting the top 25 collaborators of S.S. Mani Prabu. A scholar is included among the top collaborators of S.S. Mani Prabu 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. Mani Prabu. S.S. Mani Prabu 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.
Prabu, S.S. Mani, et al.. (2025). AI-Driven Predictive Maintenance for Smart Manufacturing Systems Using Digital Twin Technology. International Journal of Computational and Experimental Science and Engineering. 11(1).
3.
Rajesh, A., et al.. (2024). Study of Complementary Loop Integrated Metasurface for 6G THz Communication. IEEE Access. 12. 29900–29909. 1 indexed citations
4.
Prabu, S.S. Mani, S. Aravindan, Sudipta Ghosh, & I. A. Palani. (2023). Solid-state welding of nitinol shape memory alloys: A review. Materials Today Communications. 35. 105728–105728. 8 indexed citations
5.
Choyal, Vijay, et al.. (2021). Active and passive multicycle actuation characteristics of shape memory alloy-based adaptive composite structures. Smart Materials and Structures. 30(9). 95022–95022. 6 indexed citations
6.
Resnina, Natalia, I. A. Palani, Sergey Belyaev, et al.. (2021). Influence of heat treatment on the structure and martensitic transformation in NiTi alloy produced by wire arc additive manufacturing. Materialia. 20. 101238–101238. 18 indexed citations
7.
Resnina, Natalia, I. A. Palani, Sergey Belyaev, et al.. (2021). Peculiarities of the recoverable strain variation in the NiTi alloy produced by wire arc additive manufacturing. Materials Letters. 298. 130004–130004. 14 indexed citations
8.
Prabu, S.S. Mani, et al.. (2021). Development and actuation analysis of shape memory alloy reinforced composite fin for aerodynamic application. Sensors and Actuators A Physical. 331. 113012–113012. 11 indexed citations
9.
Resnina, Natalia, et al.. (2020). Structure of a 3D frame-bridge NiTi sample deposited on a low carbon steel substrate by wire arc additive manufacturing. Letters on Materials. 10(4). 496–500. 10 indexed citations
10.
Shukla, Ashish Kumar, S. Jayachandran, S.S. Mani Prabu, et al.. (2020). Micro-channel fabrication on NiTi shape memory alloy substrate using Nd3+: YAG laser. Materials and Manufacturing Processes. 35(3). 270–278. 19 indexed citations
11.
Manikandan, M., Pandey Rajagopalan, S. Jayachandran, et al.. (2020). Development of Sn-doped ZnO based ecofriendly piezoelectric nanogenerator for energy harvesting application. Nanotechnology. 31(18). 185401–185401. 32 indexed citations
12.
Shukla, Ashish Kumar, et al.. (2020). Investigations on enhancing the surface mechanical and tribological properties of A356 Al alloy using pulsed laser-assisted nitriding. Applied Surface Science. 540. 148361–148361. 10 indexed citations
13.
Prabu, S.S. Mani, et al.. (2020). Investigations on laser actuation and life cycle characteristics of NiTi shape memory alloy bimorph for non-contact functional applications. Sensors and Actuators A Physical. 321. 112411–112411. 16 indexed citations
14.
Chaudhari, Rakesh, Jay Vora, S.S. Mani Prabu, et al.. (2019). Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm. Materials. 12(8). 1277–1277. 93 indexed citations
15.
Chaudhari, Rakesh, Jay Vora, S.S. Mani Prabu, et al.. (2019). Pareto optimization of WEDM process parameters for machining a NiTi shape memory alloy using a combined approach of RSM and heat transfer search algorithm. Advances in Manufacturing. 9(1). 64–80. 79 indexed citations
16.
Prabu, S.S. Mani, et al.. (2019). Thermo-mechanical behavior of shape memory alloy spring actuated using novel scanning technique powered by ytterbium doped continuous fiber laser. Smart Materials and Structures. 28(4). 47001–47001. 8 indexed citations
17.
Prabu, S.S. Mani, Chandra S. Perugu, S. Jayachandran, et al.. (2019). Exploring the functional and corrosion behavior of friction stir welded NiTi shape memory alloy. Journal of Manufacturing Processes. 47. 119–128. 27 indexed citations
19.
Prabu, S.S. Mani, et al.. (2018). Formability studies on Ni-Ti shape memory alloy using laser forming technology. IOP Conference Series Materials Science and Engineering. 390. 12053–12053.
20.
Shukla, Ashish Kumar, et al.. (2017). Parametric investigations to enhance the thermomechanical properties of CuAlNi shape memory alloy Bi-morph. Journal of Alloys and Compounds. 720. 264–271. 21 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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