Ravindra Nagar

2.3k total citations
59 papers, 1.8k citations indexed

About

Ravindra Nagar is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Ravindra Nagar has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Civil and Structural Engineering, 28 papers in Building and Construction and 11 papers in Materials Chemistry. Recurrent topics in Ravindra Nagar's work include Concrete and Cement Materials Research (28 papers), Innovative concrete reinforcement materials (20 papers) and Recycled Aggregate Concrete Performance (18 papers). Ravindra Nagar is often cited by papers focused on Concrete and Cement Materials Research (28 papers), Innovative concrete reinforcement materials (20 papers) and Recycled Aggregate Concrete Performance (18 papers). Ravindra Nagar collaborates with scholars based in India, United Kingdom and Saudi Arabia. Ravindra Nagar's co-authors include Vinay Agrawal, Sarbjeet Singh, Vinay Chandwani, Rajesh Gupta, Rakesh Choudhary, Anshuman Tiwari, Amar Patnaik, Abhishek Jain, Pawan Kalla and Shahrukh Khan and has published in prestigious journals such as Journal of Cleaner Production, Construction and Building Materials and Expert Systems with Applications.

In The Last Decade

Ravindra Nagar

57 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ravindra Nagar India 21 1.5k 1.0k 247 200 115 59 1.8k
Paulo Cachim Portugal 23 1.6k 1.1× 920 0.9× 141 0.6× 108 0.5× 89 0.8× 67 1.9k
Nicholas Howard Thom United Kingdom 25 1.7k 1.2× 703 0.7× 240 1.0× 156 0.8× 108 0.9× 42 1.9k
Yuanxun Zheng China 25 1.9k 1.3× 1.2k 1.1× 285 1.2× 115 0.6× 150 1.3× 80 2.2k
Sanjaya Kumar Patro India 24 1.6k 1.1× 827 0.8× 285 1.2× 265 1.3× 145 1.3× 61 1.9k
Rüstem Gül Türkiye 24 1.8k 1.2× 1.0k 1.0× 228 0.9× 88 0.4× 81 0.7× 34 2.1k
Panuwat Joyklad Thailand 23 1.7k 1.1× 1.3k 1.3× 138 0.6× 112 0.6× 48 0.4× 84 2.1k
Arslan Akbar Hong Kong 25 2.0k 1.4× 1.2k 1.2× 249 1.0× 191 1.0× 128 1.1× 41 2.6k
Massoud Sofi Australia 21 1.6k 1.1× 814 0.8× 472 1.9× 315 1.6× 151 1.3× 79 2.1k
Mustafa Sarıdemir Türkiye 20 2.0k 1.3× 897 0.9× 275 1.1× 154 0.8× 100 0.9× 41 2.2k
Sergey Klyuev Russia 22 994 0.7× 920 0.9× 235 1.0× 149 0.7× 46 0.4× 72 1.5k

Countries citing papers authored by Ravindra Nagar

Since Specialization
Citations

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

Fields of papers citing papers by Ravindra Nagar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindra Nagar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravindra Nagar. A scholar is included among the top collaborators of Ravindra Nagar 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 Ravindra Nagar. Ravindra Nagar 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.
Nagar, Ravindra, et al.. (2025). Application of Non-destructive Methods for Predicting the Concrete’s Compressive Strength, Using Hyper-Tuned Machine Learning Techniques. Iranian Journal of Science and Technology Transactions of Civil Engineering. 49(6). 5479–5495. 1 indexed citations
2.
Kalla, Pawan, et al.. (2025). An Experimental Investigation of Self-Compacting Concrete Incorporating Limestone Waste: Sustainable Pavement Solutions. International Journal of Pavement Research and Technology.
3.
Kalla, Pawan, et al.. (2024). Effect of fine aggregate replacement with limestone Slurry Waste in Self Compacting Concrete: A Microstructural Approach. Materials Letters. 381. 137779–137779. 2 indexed citations
4.
Swati, Ravindra Nagar, & Rajesh Gupta. (2024). Utilizing Optimized Machine Learning Techniques to Predict the Compressive Strength of Concrete through Non-Destructive Testing Methodologies. Recent Patents on Engineering. 19(4). 1 indexed citations
5.
6.
Agrawal, Vinay, et al.. (2022). Effect of waste sandstone microfines on mechanical strength, abrasion resistance, and permeability properties of concrete. Materials Today Proceedings. 61. 571–578. 4 indexed citations
7.
Agrawal, Vinay, et al.. (2021). Progressive Collapse Resisting Capacity of RC Flat Slab Buildings with Varying Spans and Storey Heights. Key engineering materials. 894. 115–120. 1 indexed citations
8.
Agrawal, Vinay, et al.. (2021). Case study on strengthening methods for progressive collapse resistance of RC flat slab buildings. Structures. 29. 1709–1722. 13 indexed citations
9.
Kalla, Pawan, et al.. (2019). Gainful utilization of dimensional limestone waste as fine aggregate in cement mortar mixes. Construction and Building Materials. 221. 363–374. 30 indexed citations
10.
Kalla, Pawan, et al.. (2019). Influence of dimensional stone waste on mechanical and durability properties of mortar: A review. Construction and Building Materials. 227. 116662–116662. 46 indexed citations
11.
Kalla, Pawan, et al.. (2018). Partial Replacement of Cement by Kota Stone Slurry in Mortar. 7(3). 8–13. 2 indexed citations
12.
Kalla, Pawan, et al.. (2018). Investigating use of dimensional limestone slurry waste as fine aggregate in mortar. Environment Development and Sustainability. 22(3). 2223–2245. 36 indexed citations
13.
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15.
Singh, Sarbjeet, et al.. (2017). Experimental Investigation of Sustainable Concrete Made with Granite Industry By-Product. Journal of Materials in Civil Engineering. 29(6). 50 indexed citations
16.
Singh, Sarbjeet, Ravindra Nagar, & Vinay Agrawal. (2016). A review on Properties of Sustainable Concrete using granite dust as replacement for river sand. Journal of Cleaner Production. 126. 74–87. 108 indexed citations
17.
Chandwani, Vinay, Vinay Agrawal, Ravindra Nagar, & Sarbjeet Singh. (2015). Modeling Slump of Ready Mix Concrete using Artificial Neural Network. International Journal of Technology. 6(2). 207–207. 13 indexed citations
18.
Chandwani, Vinay, Vinay Agrawal, & Ravindra Nagar. (2014). Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks. Expert Systems with Applications. 42(2). 885–893. 191 indexed citations
19.
Chandwani, Vinay, Vinay Agrawal, & Ravindra Nagar. (2014). Applications of Artificial Neural Networks in Modeling Compressive Strength of Concrete: A State of the Art Review. 15 indexed citations
20.
Nagar, Ravindra & Gurjit Kaur. (2012). Simulation and Performance Analysis of 2-D Codes at 1 Gbps and 1. 25 Gbps Data Rate for OCDMA LAN Applications. International Journal of Computer Applications. 49(8). 42–48. 1 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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