V. Madhu

3.0k total citations
90 papers, 2.4k citations indexed

About

V. Madhu is a scholar working on Materials Chemistry, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, V. Madhu has authored 90 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Materials Chemistry, 66 papers in Mechanics of Materials and 30 papers in Mechanical Engineering. Recurrent topics in V. Madhu's work include High-Velocity Impact and Material Behavior (62 papers), Energetic Materials and Combustion (28 papers) and Structural Response to Dynamic Loads (22 papers). V. Madhu is often cited by papers focused on High-Velocity Impact and Material Behavior (62 papers), Energetic Materials and Combustion (28 papers) and Structural Response to Dynamic Loads (22 papers). V. Madhu collaborates with scholars based in India. V. Madhu's co-authors include Ravindranadh Bobbili, N.K. Gupta, A.K. Gogia, T. Balakrishna Bhat, K. Ramanjaneyulu, G. Madhusudhan Reddy, Bidyapati Mishra, M.A. Iqbal, Kamal Kumar and K. Srinivasa Rao and has published in prestigious journals such as Materials Science and Engineering A, Journal of Alloys and Compounds and Materials & Design.

In The Last Decade

V. Madhu

90 papers receiving 2.3k 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. Madhu India 29 1.7k 1.3k 1.2k 526 364 90 2.4k
Jianming Gong China 33 1.2k 0.7× 1.5k 1.1× 2.7k 2.2× 327 0.6× 260 0.7× 200 3.3k
Yueguang Wei China 25 1.1k 0.7× 1.4k 1.1× 941 0.8× 190 0.4× 190 0.5× 104 2.5k
Ashok Saxena United States 30 1.4k 0.9× 2.1k 1.6× 2.2k 1.8× 510 1.0× 277 0.8× 131 3.4k
Weiguo Guo China 28 1.8k 1.1× 914 0.7× 1.4k 1.2× 433 0.8× 235 0.6× 76 2.7k
Junjia Cui China 33 601 0.4× 1.2k 0.9× 2.2k 1.8× 370 0.7× 256 0.7× 155 2.8k
Lei Zhao China 38 1.3k 0.8× 1.9k 1.5× 3.8k 3.1× 638 1.2× 558 1.5× 240 4.4k
Akhtar S. Khan United States 33 3.4k 2.1× 2.5k 1.9× 3.5k 2.9× 382 0.7× 557 1.5× 45 5.1k
Akira Kobayashi Japan 25 896 0.5× 716 0.6× 819 0.7× 197 0.4× 952 2.6× 146 2.0k
Esteban P. Busso United Kingdom 37 2.6k 1.6× 2.3k 1.8× 2.2k 1.8× 181 0.3× 1.1k 3.0× 96 4.2k
N. Aravas Greece 31 1.7k 1.0× 2.2k 1.7× 1.5k 1.3× 213 0.4× 96 0.3× 80 3.2k

Countries citing papers authored by V. Madhu

Since Specialization
Citations

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

Fields of papers citing papers by V. Madhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of V. Madhu. A scholar is included among the top collaborators of V. Madhu 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. Madhu. V. Madhu 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.
Madhu, V., et al.. (2023). Effect of Temperature and Ply Angle on Performance of Ultra High Molecular Weight Polyethylene (UHMWPE) Laminates Under Low Velocity Impact. Defence Science Journal. 73(No 2). 163–170. 1 indexed citations
2.
Mishra, B.K., et al.. (2023). Ballistic Efficacy of Carbide Free High Strength Nano Structured Bainitic Armour Steels. Defence Science Journal. 73(No 2). 131–139. 4 indexed citations
3.
Mishra, Bidyapati, Vajinder Singh, Rajdeep Sarkar, et al.. (2022). Dynamic recovery and recrystallization mechanisms in secondary B2 phase and austenite matrix during hot deformation of Fe–Mn–Al–C-(Ni) based austenitic low-density steels. Materials Science and Engineering A. 842. 143095–143095. 42 indexed citations
4.
5.
Bobbili, Ravindranadh, et al.. (2020). An artificial intelligence model for ballistic performance of thin plates. Mechanics Based Design of Structures and Machines. 51(1). 327–338. 9 indexed citations
6.
Singh, B. Bhav, et al.. (2020). A Comparative Study on the Ballistic Performance and Failure Mechanisms of High-Nitrogen Steel and RHA Steel Against Tungsten Heavy Alloy Penetrators. Journal of Dynamic Behavior of Materials. 7(1). 60–80. 11 indexed citations
7.
Madhu, V., et al.. (2019). Effect of thickness on behaviour of E-glass/epoxy composite laminates under low velocity impact. Procedia Structural Integrity. 14. 265–272. 18 indexed citations
8.
Saxena, Ambuj, A. Kumaraswamy, & V. Madhu. (2018). Investigation of S-D effect on plastic flow behavior of Armox 500T steel. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(9). 10 indexed citations
9.
Iqbal, M.A., K. Senthil, V. Madhu, & N.K. Gupta. (2017). Oblique impact on single, layered and spaced mild steel targets by 7.62 AP projectiles. International Journal of Impact Engineering. 110. 26–38. 50 indexed citations
10.
Madhu, V., et al.. (2017). Numerical Simulation and Experimental Validation of E-Glass/epoxy Composite Material under Ballistic Impact of 9 mm Soft Projectile. Procedia Engineering. 173. 740–746. 11 indexed citations
11.
Srikanth, I., et al.. (2017). Ballistic Impact Studies on Carbon and E-glass Fibre Based Hybrid Composite Laminates. Procedia Engineering. 173. 293–298. 25 indexed citations
12.
Bobbili, Ravindranadh & V. Madhu. (2016). Hot deformation behavior and processing maps of Ti–15Al–12Nb alloy. Rare Metals. 41(7). 2316–2323. 13 indexed citations
13.
Bobbili, Ravindranadh & V. Madhu. (2016). Flow and fracture characteristics of near alpha titanium alloy. Journal of Alloys and Compounds. 684. 162–170. 20 indexed citations
14.
Bobbili, Ravindranadh & V. Madhu. (2015). Dynamic recrystallization behavior of a biomedical Ti–13Nb–13Zr alloy. Journal of the mechanical behavior of biomedical materials. 59. 146–155. 18 indexed citations
15.
Singh, Vajinder, et al.. (2015). An experimental study on the projectile defeat mechanism of hard steel projectile against boron carbide tiles. International Journal of Impact Engineering. 86. 157–166. 13 indexed citations
16.
Madhu, V., et al.. (2014). Ballistic Performance of Alumina and Zirconia-toughened Alumina Against 7.62 Armour Piercing Projectile. Defence Science Journal. 64(5). 477–483. 18 indexed citations
17.
Bobbili, Ravindranadh, V. Madhu, & A.K. Gogia. (2014). Neural network modeling to evaluate the dynamic flow stress of high strength armor steels under high strain rate compression. Defence Technology. 10(4). 334–342. 19 indexed citations
18.
Bobbili, Ravindranadh, V. Madhu, & A.K. Gogia. (2013). Effect of Wire-EDM Machining Parameters on Surface Roughness and Material Removal Rate of High Strength Armor Steel. Materials and Manufacturing Processes. 28(4). 364–368. 86 indexed citations
19.
Banerjee, Arnab, et al.. (2012). Effect of matrix on the ballistic impact of aramid fabric composite laminates by armor piercing projectiles. Polymer Composites. 33(3). 443–450. 33 indexed citations
20.
Madhu, V., et al.. (2008). Influence of Polymer Restraint on Ballistic Performance of Alumina Ceramic Tiles. Defence Science Journal. 58(2). 264–274. 10 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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