V. R. Panchal

955 total citations
44 papers, 706 citations indexed

About

V. R. Panchal is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, V. R. Panchal has authored 44 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Civil and Structural Engineering, 11 papers in Control and Systems Engineering and 9 papers in Building and Construction. Recurrent topics in V. R. Panchal's work include Seismic Performance and Analysis (17 papers), Innovative concrete reinforcement materials (12 papers) and Vibration Control and Rheological Fluids (10 papers). V. R. Panchal is often cited by papers focused on Seismic Performance and Analysis (17 papers), Innovative concrete reinforcement materials (12 papers) and Vibration Control and Rheological Fluids (10 papers). V. R. Panchal collaborates with scholars based in India and United States. V. R. Panchal's co-authors include R. S. Jangid, Kartik S. Pandya, Rupesh Kumar Tipu, Vasant Matsagar, Vishal Gajjar, Manish Kumar and Viral Sheth and has published in prestigious journals such as Scientific Reports, Environmental Earth Sciences and Nuclear Engineering and Design.

In The Last Decade

V. R. Panchal

36 papers receiving 664 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. R. Panchal India 17 613 160 144 118 58 44 706
M. K. Shrimali India 17 1.1k 1.8× 350 2.2× 83 0.6× 197 1.7× 83 1.4× 72 1.2k
Bei Chen China 13 301 0.5× 100 0.6× 47 0.3× 78 0.7× 59 1.0× 41 436
Kamyar Kildashti Australia 17 570 0.9× 134 0.8× 220 1.5× 35 0.3× 111 1.9× 34 721
Cameron J. Black United States 11 926 1.5× 62 0.4× 147 1.0× 173 1.5× 61 1.1× 17 978
Qing Sun China 15 637 1.0× 61 0.4× 240 1.7× 124 1.1× 63 1.1× 67 728
Shixiong Zheng China 14 469 0.8× 110 0.7× 56 0.4× 86 0.7× 67 1.2× 51 568
Mohammad Reza Sohrabi Iran 13 395 0.6× 31 0.2× 154 1.1× 60 0.5× 54 0.9× 43 466
Yung‐Tsang Chen China 13 628 1.0× 36 0.2× 110 0.8× 64 0.5× 72 1.2× 45 692
Alberto Pavese Italy 22 1.0k 1.7× 41 0.3× 515 3.6× 106 0.9× 96 1.7× 61 1.1k
Yongshan Zhang China 13 454 0.7× 39 0.2× 125 0.9× 57 0.5× 129 2.2× 46 577

Countries citing papers authored by V. R. Panchal

Since Specialization
Citations

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

Fields of papers citing papers by V. R. Panchal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. R. Panchal

This figure shows the co-authorship network connecting the top 25 collaborators of V. R. Panchal. A scholar is included among the top collaborators of V. R. Panchal 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. R. Panchal. V. R. Panchal 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.
Tipu, Rupesh Kumar, et al.. (2025). Physics-informed neural networks for predicting sediment transport in pressurized pipe flows. Environmental Earth Sciences. 84(11).
2.
Tipu, Rupesh Kumar, et al.. (2025). Optimizing sustainable blended concrete mixes using deep learning and multi-objective optimization. Scientific Reports. 15(1). 16356–16356. 3 indexed citations
3.
Panchal, V. R., et al.. (2023). Latent Fingerprint Development by Brick Powder. 10(1). 2 indexed citations
4.
Tipu, Rupesh Kumar, et al.. (2023). Predictive modelling of surface chloride concentration in marine concrete structures: a comparative analysis of machine learning approaches. Asian Journal of Civil Engineering. 25(2). 1443–1465. 16 indexed citations
5.
Tipu, Rupesh Kumar, et al.. (2023). Shear capacity prediction for FRCM-strengthened RC beams using Hybrid ReLU-Activated BPNN model. Structures. 58. 105432–105432. 20 indexed citations
6.
7.
Panchal, V. R., et al.. (2023). Strength and Durability Evaluation of Multi-Binder Geopolymer Concrete in Ambient Condition. KSCE Journal of Civil Engineering. 27(4). 1708–1719. 12 indexed citations
8.
Tipu, Rupesh Kumar, V. R. Panchal, & Kartik S. Pandya. (2023). Enhancing chloride concentration prediction in marine concrete using conjugate gradient-optimized backpropagation neural network. Asian Journal of Civil Engineering. 25(1). 637–656. 21 indexed citations
9.
Tipu, Rupesh Kumar, V. R. Panchal, & Kartik S. Pandya. (2022). Multi-objective optimized high-strength concrete mix design using a hybrid machine learning and metaheuristic algorithm. Asian Journal of Civil Engineering. 24(3). 849–867. 23 indexed citations
10.
Panchal, V. R., et al.. (2021). DEVELOPMENT OF INVISIBLE FINGERPRINT IMPRESSIONS USING MEDICINE POWDER. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
11.
Panchal, V. R., et al.. (2018). Seismic Response of Building-Equipment Isolated With Polynomial Friction Pendulum Isolator. International Journal of Scientific Research in Science Engineering and Technology. 4(5). 234–238.
12.
Sheth, Viral, et al.. (2018). Comparative Study of Different Structural Systems. 1. 508–501. 1 indexed citations
13.
Gajjar, Vishal, et al.. (2018). Study of Mechanical & Durability Properties of Micro Concrete With Waste Ceramic Tiles. Journal of Emerging Technologies and Innovative Research. 5(7). 98-103–98-103. 1 indexed citations
14.
Panchal, V. R., et al.. (2018). Performance Assessment of Pervious Geopolymer Concrete using Metakaolin. International Journal of Scientific Research in Science Engineering and Technology. 4(5). 227–233. 1 indexed citations
15.
Panchal, V. R., et al.. (2018). Comparative Study of PEB Industrial Building with CSB Industrial Building. International Journal of Scientific Research in Science Engineering and Technology. 4(5). 219–226.
16.
Panchal, V. R., et al.. (2018). Performance and Analysis of Brass Coated Micro Steel Fibre on Alccofine 1203 Based Concrete. International Journal of Scientific Research in Science Engineering and Technology. 4(5). 201–206.
17.
Panchal, V. R., et al.. (2018). Experimental Study of Fly Ash Based Geo-Polymer Concrete Using Silica Fume and Quartz Powder. International Journal of Scientific Research in Science Engineering and Technology. 4(5). 207–211. 2 indexed citations
18.
Panchal, V. R. & R. S. Jangid. (2011). Seismic response of liquid storage steel tanks with variable frequency pendulum isolator. KSCE Journal of Civil Engineering. 15(6). 1041–1055. 46 indexed citations
19.
Jangid, R. S., et al.. (2010). Seismic response of the double variable frequency pendulum isolator. Structural Control and Health Monitoring. 18(4). 450–470. 43 indexed citations
20.
Panchal, V. R., et al.. (2010). Response of the Double Variable Frequency Pendulum Isolator under Triaxial Ground Excitations. Journal of Earthquake Engineering. 14(4). 527–558. 20 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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