V. Sampath

754 total citations
42 papers, 596 citations indexed

About

V. Sampath is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, V. Sampath has authored 42 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 15 papers in Mechanical Engineering and 9 papers in Mechanics of Materials. Recurrent topics in V. Sampath's work include Shape Memory Alloy Transformations (27 papers), Magnetic and transport properties of perovskites and related materials (7 papers) and Microstructure and Mechanical Properties of Steels (7 papers). V. Sampath is often cited by papers focused on Shape Memory Alloy Transformations (27 papers), Magnetic and transport properties of perovskites and related materials (7 papers) and Microstructure and Mechanical Properties of Steels (7 papers). V. Sampath collaborates with scholars based in India, Romania and Russia. V. Sampath's co-authors include Jan Frenzel, Gunther Eggeler, T. Depka, В. Г. Шавров, Vikas Kumar, N. Rajasekaran, Leandru-Gheorghe Bujoreanu, А. В. Маширов, А. П. Каманцев and C. Prakash and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

V. Sampath

41 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Sampath India 14 431 242 131 59 59 42 596
Madangopal Krishnan India 17 690 1.6× 426 1.8× 190 1.5× 115 1.9× 41 0.7× 58 830
Guoqing Zu China 13 171 0.4× 274 1.1× 111 0.8× 93 1.6× 52 0.9× 25 377
Jong Gil Park South Korea 10 379 0.9× 461 1.9× 55 0.4× 59 1.0× 24 0.4× 12 624
Ondřej Tyc Czechia 17 866 2.0× 276 1.1× 111 0.8× 102 1.7× 32 0.5× 31 917
K.K. Mahesh India 16 612 1.4× 246 1.0× 78 0.6× 104 1.8× 33 0.6× 44 681
Lukáš Kadeřávek Czechia 13 779 1.8× 229 0.9× 100 0.8× 79 1.3× 39 0.7× 32 821
Marek Vronka Czechia 11 382 0.9× 202 0.8× 77 0.6× 72 1.2× 16 0.3× 39 474
Yanjin Xu China 18 512 1.2× 612 2.5× 49 0.4× 111 1.9× 89 1.5× 37 809
Rupa Dasgupta India 16 448 1.0× 471 1.9× 36 0.3× 90 1.5× 31 0.5× 35 698
G. Eggeler Germany 13 881 2.0× 498 2.1× 44 0.3× 149 2.5× 60 1.0× 20 1.1k

Countries citing papers authored by V. Sampath

Since Specialization
Citations

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

Fields of papers citing papers by V. Sampath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Sampath

This figure shows the co-authorship network connecting the top 25 collaborators of V. Sampath. A scholar is included among the top collaborators of V. Sampath 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 V. Sampath. V. Sampath 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.
2.
Sampath, V., et al.. (2023). Prediction of transformation temperatures of NiTiZr shape memory alloys using artificial neural network. Materials Today Communications. 36. 106712–106712. 4 indexed citations
3.
Swaminathan, G. & V. Sampath. (2022). Evolution of Transformation Strain During Partial Transformation Cycling of an NiTi Shape Memory Alloy. IOP Conference Series Materials Science and Engineering. 1213(1). 12010–12010. 1 indexed citations
4.
Kumar, Vikas, et al.. (2021). Investigation of the Influence of Stretch on the Air Permeability of Knitted Fabric: Effect of Loop Length. Fibres and Textiles in Eastern Europe. 29(1(145)). 53–56. 2 indexed citations
5.
Balu, Satheesh Kumar, et al.. (2021). Emerging marine derived nanohydroxyapatite and their composites for implant and biomedical applications. Journal of the mechanical behavior of biomedical materials. 119. 104523–104523. 29 indexed citations
6.
Fernandes, Francisco Manuel Braz, et al.. (2020). Structural Characteristics of Multilayered Ni-Ti Nanocomposite Fabricated by High Speed High Pressure Torsion (HSHPT). Metals. 10(12). 1629–1629. 9 indexed citations
7.
Dilmieva, Elvina, Yu. S. Koshkid’ko, V. V. Koledov, et al.. (2020). Role of magnetic and temperature cycling on martensite formation in Ni2.19Mn0.81Ga single crystals of a Heusler alloy. Journal of Applied Physics. 127(17). 7 indexed citations
8.
Sampath, V., et al.. (2019). Structural Change in Ni-Fe-Ga Magnetic Shape Memory Alloys after Severe Plastic Deformation. Materials. 12(12). 1939–1939. 11 indexed citations
9.
Koshkid’ko, Yu. S., Elvina Dilmieva, J. Ćwik, et al.. (2019). Giant reversible adiabatic temperature change and isothermal heat transfer of MnAs single crystals studied by direct method in high magnetic fields. Journal of Alloys and Compounds. 798. 810–819. 27 indexed citations
10.
Sampath, V., et al.. (2019). Influence of microstructure on mechanical and magnetic properties of an Fe-Ni-Co-Al-Ta-B shape memory alloy. Materials Research Express. 6(7). 75701–75701. 8 indexed citations
11.
Sampath, V., et al.. (2019). Strain monitoring of low carbon steel in a corrosive environment using fiber Bragg technology. Construction and Building Materials. 217. 265–272. 4 indexed citations
12.
Sampath, V., et al.. (2019). Experimental and theoretical analyses of transformation temperatures of Cu-based shape memory alloys. Bulletin of Materials Science. 42(5). 12 indexed citations
13.
14.
Sampath, V., et al.. (2019). Hot deformation behavior of Fe–28Ni–17Co-11.5Al-2.5Ta-0.05B (at.%) shape memory alloy by isothermal compression. Intermetallics. 115. 106632–106632. 14 indexed citations
15.
Paleu, Viorel, et al.. (2018). A new application of Fe-28Mn-6Si-5Cr (mass%) shape memory alloy, for self-adjustable axial preloading of ball bearings. Smart Materials and Structures. 27(7). 75026–75026. 16 indexed citations
16.
Шавров, В. Г., A. V. Shelyakov, А. П. Орлов, et al.. (2018). Nano-Manipulation, Nano-Manufacturing, Nano-Measurements by New Smart Material-Based Mechanical Nanotools. 190. 171–176. 2 indexed citations
17.
Коледов, В. В., А. П. Орлов, А. В. Фролов, et al.. (2017). Composite Materials Based on Shape‐Memory Ti2NiCu Alloy for Frontier Micro‐ and Nanomechanical Applications. Advanced Engineering Materials. 19(8). 29 indexed citations
18.
Sampath, V., et al.. (2015). Investigation of microhardness evolution in an ultrafine grained NiTi alloy formed via high speed high pressure torsion (HSHPT). SHILAP Revista de lepidopterología. 33. 3003–3003. 3 indexed citations
19.
Kumar, Vikas & V. Sampath. (2013). Investigation on the Physical and Dimensional Properties of Single Jersey Fabrics made from Cotton Sheath - Elastomeric Core Spun. Fibres and Textiles in Eastern Europe. 11 indexed citations
20.
Sampath, V., et al.. (2012). Studies on Internal Friction of a High Temperature Cu-Al-Mn-Zn Shape Memory Alloy. Advances in science and technology. 78. 125–132. 3 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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