Vinod Kushvaha

2.6k total citations · 1 hit paper
39 papers, 1.9k citations indexed

About

Vinod Kushvaha is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Polymers and Plastics. According to data from OpenAlex, Vinod Kushvaha has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 19 papers in Mechanics of Materials and 12 papers in Polymers and Plastics. Recurrent topics in Vinod Kushvaha's work include Mechanical Behavior of Composites (11 papers), Landfill Environmental Impact Studies (8 papers) and Soil and Unsaturated Flow (8 papers). Vinod Kushvaha is often cited by papers focused on Mechanical Behavior of Composites (11 papers), Landfill Environmental Impact Studies (8 papers) and Soil and Unsaturated Flow (8 papers). Vinod Kushvaha collaborates with scholars based in India, China and Thailand. Vinod Kushvaha's co-authors include Sanjay Mavinkere Rangappa, Aanchna Sharma, Suchart Siengchin, Hom Nath Dhakal, Insha Wani, Suchart Siengchin, T. Mukhopadhyay, Ankit Garg, H. Mohit and S. Anand Kumar and has published in prestigious journals such as Acta Materialia, Chemical Communications and Journal of Cleaner Production.

In The Last Decade

Vinod Kushvaha

39 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design

2022 164 citations Aanchna Sharma, T. Mukhopadhyay et al. Archives of Computational Methods in Engineering profile →

Peers

Vinod Kushvaha

CSE

Md Zillur Rahman Bangladesh

Anna Rudawská Poland

Mohamad Zaki Hassan Malaysia

Hamdan Haji Ya Malaysia

Liming Chen China

Andrey E. Krauklis Norway

Agusril Syamsir Malaysia

G. Raghavendra India

Md Zillur Rahman Bangladesh

Vinod Kushvaha

529 ×0.8

297 ×0.6

224 ×0.5

570 ×1.3

CSE

267 ×0.9

Citations per year, relative to Vinod Kushvaha Vinod Kushvaha (= 1×) peers Md Zillur Rahman

Countries citing papers authored by Vinod Kushvaha

Since Specialization

Citations

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

Fields of papers citing papers by Vinod Kushvaha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinod Kushvaha

This figure shows the co-authorship network connecting the top 25 collaborators of Vinod Kushvaha. A scholar is included among the top collaborators of Vinod Kushvaha 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 Vinod Kushvaha. Vinod Kushvaha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sharma, Aanchna, et al.. (2023). Fatigue response of glass-filled epoxy composites: A crack initiation and propagation study. International Journal of Fatigue. 170. 107542–107542. 7 indexed citations

Mukhopadhyay, T., et al.. (2022). Microstructural image based convolutional neural networks for efficient prediction of full-field stress maps in short fiber polymer composites. Defence Technology. 24. 58–82. 24 indexed citations

Sharma, Aanchna, T. Mukhopadhyay, Sanjay Mavinkere Rangappa, Suchart Siengchin, & Vinod Kushvaha. (2022). Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design. Archives of Computational Methods in Engineering. 29(5). 3341–3385. 164 indexed citations breakdown →

Mukhopadhyay, T., et al.. (2022). On exploiting machine learning for failure pattern driven strength enhancement of honeycomb lattices. Acta Materialia. 239. 118226–118226. 33 indexed citations

Sharma, Aanchna, T. Mukhopadhyay, & Vinod Kushvaha. (2022). Experimental data-driven uncertainty quantification for the dynamic fracture toughness of particulate polymer composites. Engineering Fracture Mechanics. 273. 108724–108724. 14 indexed citations

Ramesh, M., L. Rajeshkumar, C. Deepa, et al.. (2021). Impact of Silane Treatment on Characterization of Ipomoea Staphylina Plant Fiber Reinforced Epoxy Composites. Journal of Natural Fibers. 19(13). 5888–5899. 58 indexed citations

Wani, Insha, Sudipta Ramola, Ankit Garg, & Vinod Kushvaha. (2021). Critical review of biochar applications in geoengineering infrastructure: moving beyond agricultural and environmental perspectives. Biomass Conversion and Biorefinery. 14(5). 5943–5971. 39 indexed citations

Sharma, Aanchna, Yashwant Munde, & Vinod Kushvaha. (2021). Representative volume element based micromechanical modelling of rod shaped glass filled epoxy composites. SN Applied Sciences. 3(2). 19 indexed citations

Gupta, Munish Kumar, Qinghua Song, Zhanqiang Liu, et al.. (2020). Ecological, economical and technological perspectives based sustainability assessment in hybrid-cooling assisted machining of Ti-6Al-4 V alloy. Sustainable materials and technologies. 26. e00218–e00218. 97 indexed citations

10.

Sharma, Aanchna & Vinod Kushvaha. (2020). Predictive modelling of fracture behaviour in silica-filled polymer composite subjected to impact with varying loading rates using artificial neural network. Engineering Fracture Mechanics. 239. 107328–107328. 52 indexed citations

11.

Garg, Ankit, et al.. (2020). Modelling contaminant transport in fly ash–bentonite composite landfill liner: mechanism of different types of ions. Scientific Reports. 10(1). 11330–11330. 40 indexed citations

12.

Sharma, Aanchna, et al.. (2020). Performance of Nano-Filler Reinforced Composite Overwrap System to Repair Damaged Pipelines Subjected to Quasi-static and Impact Loading. Journal of Failure Analysis and Prevention. 20(6). 2017–2028. 11 indexed citations

13.

Sharma, Aanchna, et al.. (2020). Prediction of the Fracture Toughness of Silicafilled Epoxy Composites using K-Nearest Neighbor (KNN) Method. 194–198. 17 indexed citations

14.

Kushvaha, Vinod, et al.. (2020). Static Analysis of Thin Plates: Bare and Stiffened. INCAS BULLETIN. 12(1). 67–81. 3 indexed citations

15.

Kushvaha, Vinod, et al.. (2019). Free vibration analysis of thin plates: Bare versus Stiffened. Engineering Research Express. 2(1). 15014–15014. 16 indexed citations

16.

Garg, Ankit, He Huang, Vinod Kushvaha, et al.. (2019). Mechanism of biochar soil pore–gas–water interaction: gas properties of biochar-amended sandy soil at different degrees of compaction using KNN modeling. Acta Geophysica. 68(1). 207–217. 73 indexed citations

17.

Kushvaha, Vinod, et al.. (2019). Dynamic fracture toughness index: a new integrated methodology for mode-I fracture behaviour of polymer composite under impact loading. Materials Research Express. 6(11). 115342–115342. 17 indexed citations

18.

Kushvaha, Vinod, et al.. (2015). QCT/FEA predictions of femoral stiffness are strongly affected by boundary condition modeling. Computer Methods in Biomechanics & Biomedical Engineering. 19(2). 208–216. 30 indexed citations

19.

Liu, Zhen, Lin Zhang, Selçuk Poyraz, et al.. (2014). An ultrafast microwave approach towards multi-component and multi-dimensional nanomaterials. RSC Advances. 4(18). 9308–9308. 43 indexed citations

20.

Liu, Zhen, Jialai Wang, Vinod Kushvaha, et al.. (2011). Poptube approach for ultrafast carbon nanotube growth. Chemical Communications. 47(35). 9912–9912. 99 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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