Brind Kumar

1.5k total citations
48 papers, 1.2k citations indexed

About

Brind Kumar is a scholar working on Civil and Structural Engineering, Speech and Hearing and Building and Construction. According to data from OpenAlex, Brind Kumar has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Civil and Structural Engineering, 14 papers in Speech and Hearing and 12 papers in Building and Construction. Recurrent topics in Brind Kumar's work include Concrete and Cement Materials Research (22 papers), Asphalt Pavement Performance Evaluation (19 papers) and Innovative concrete reinforcement materials (17 papers). Brind Kumar is often cited by papers focused on Concrete and Cement Materials Research (22 papers), Asphalt Pavement Performance Evaluation (19 papers) and Innovative concrete reinforcement materials (17 papers). Brind Kumar collaborates with scholars based in India, Australia and Iraq. Brind Kumar's co-authors include Jayvant Choudhary, Ankit Gupta, Arunabh Pandey, G.D. Ransinchung, Veerendra Kumar, Manoranjan Parida, Arunava Ray, Manoj Khandelwal, Pushpa Choudhary and S. K. Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of Environmental Management.

In The Last Decade

Brind Kumar

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brind Kumar India 21 994 413 131 106 80 48 1.2k
V. S. Lesovik Russia 19 666 0.7× 632 1.5× 236 1.8× 162 1.5× 46 0.6× 123 1.1k
Shahiron Shahidan Malaysia 24 1.5k 1.5× 1.1k 2.6× 175 1.3× 177 1.7× 84 1.1× 164 2.1k
Lapyote Prasittisopin Thailand 21 608 0.6× 527 1.3× 154 1.2× 84 0.8× 68 0.8× 73 1.1k
Yeong Huei Lee Malaysia 12 560 0.6× 430 1.0× 121 0.9× 61 0.6× 34 0.4× 42 758
Iman Asadi Malaysia 12 645 0.6× 615 1.5× 112 0.9× 181 1.7× 56 0.7× 33 1.1k
Haryati Yaacob Malaysia 24 1.5k 1.5× 201 0.5× 85 0.6× 214 2.0× 351 4.4× 146 1.8k
Piergiorgio Tataranni Italy 18 866 0.9× 212 0.5× 46 0.4× 113 1.1× 153 1.9× 56 1.0k
Mohd Haziman Wan Ibrahim Malaysia 25 1.5k 1.5× 1.1k 2.6× 246 1.9× 184 1.7× 115 1.4× 140 1.9k
Pedro Lastra-González Spain 21 1.2k 1.2× 138 0.3× 68 0.5× 145 1.4× 278 3.5× 58 1.4k
Irune Indacoechea-Vega Spain 15 642 0.6× 137 0.3× 47 0.4× 88 0.8× 92 1.1× 40 1.0k

Countries citing papers authored by Brind Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Brind Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brind Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Brind Kumar. A scholar is included among the top collaborators of Brind Kumar 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 Brind Kumar. Brind Kumar 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.
Parida, Manoranjan, et al.. (2024). Investigating important and necessary conditions to analyse traffic noise levels at intersections in mid-sized cities. Journal of Environmental Management. 355. 120515–120515. 7 indexed citations
2.
Ramya, R, et al.. (2024). Intelligent Transportation System. 1–4. 1 indexed citations
3.
Kumar, Brind, et al.. (2024). A machine learning-based overlay technique for improving the mechanism of road traffic prediction using global positioning system. Innovative Infrastructure Solutions. 9(8). 1 indexed citations
4.
Kumar, Brind, et al.. (2024). Optimizing foaming agent concentration and recycled fine aggregate content to enhance mechanical and durable properties of foam concrete mixes. Journal of Building Engineering. 97. 110801–110801. 11 indexed citations
5.
Kumar, Brind, et al.. (2024). Mechanical, microstructural and durable characteristics of foam concrete ceramic mixes exposed to H2SO4 and HCl solution. Construction and Building Materials. 454. 139080–139080. 2 indexed citations
6.
Parida, Manoranjan, et al.. (2024). Modelling traffic noise-induced annoyance at intersections and its association with psychological health. Transportation Research Part D Transport and Environment. 139. 104568–104568. 1 indexed citations
7.
Kumar, Brind, et al.. (2023). Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils. Arabian Journal for Science and Engineering. 48(10). 13901–13927. 20 indexed citations
8.
Parida, Manoranjan, et al.. (2023). Development of a Reference Energy Mean Emission Level Traffic Noise Models for Bituminous Pavement for Mid-Sized Cities in India.. NOISE-CON proceedings. 265(5). 2899–2906. 2 indexed citations
9.
Kumar, Brind, et al.. (2023). Heterogeneous road traffic noise modeling at mid-block sections of mid-sized city in India. Environmental Monitoring and Assessment. 195(11). 1349–1349. 3 indexed citations
10.
Kumar, Brind, et al.. (2023). Particle Swarm Optimization–Based Machine Learning Algorithms for Developing the Modified Proctor Compaction Parameter Prediction Software. Transportation Infrastructure Geotechnology. 11(4). 1492–1519. 3 indexed citations
11.
Parida, Manoranjan, et al.. (2023). A CASE STUDY OF KANPUR. Environmental Engineering and Management Journal. 22(4). 651–662.
12.
Parida, Manoranjan, et al.. (2023). Statistical modeling of traffic noise at intersections in a mid-sized city, India. SHILAP Revista de lepidopterología. 10(1). 9 indexed citations
13.
Choudhary, Jayvant, Brind Kumar, & Ankit Gupta. (2021). Evaluation of engineering, economic and environmental suitability of waste filler incorporated asphalt mixes and pavements. Road Materials and Pavement Design. 22(sup1). S624–S640. 34 indexed citations
14.
Choudhary, Jayvant, Brind Kumar, & Ankit Gupta. (2021). Analysing the influence of industrial waste fillers on the ageing susceptibility of asphalt concrete. International Journal of Pavement Engineering. 23(11). 3906–3919. 9 indexed citations
15.
Kumar, Brind, et al.. (2021). Multi-layer perceptron (MLP) neural network for predicting the modified compaction parameters of coarse-grained and fine-grained soils. Innovative Infrastructure Solutions. 7(1). 20 indexed citations
16.
Pandey, Arunabh & Brind Kumar. (2019). Evaluation of water absorption and chloride ion penetration of rice straw ash and microsilica admixed pavement quality concrete. Heliyon. 5(8). e02256–e02256. 42 indexed citations
17.
Choudhary, Jayvant, Brind Kumar, & Ankit Gupta. (2018). Investigation of Using Dimension Limestone Slurry Waste as Filler in Asphalt Concrete. Transportation Research Board 97th Annual MeetingTransportation Research Board. 2 indexed citations
18.
Choudhary, Jayvant, Brind Kumar, & Ankit Gupta. (2018). Potential of Bauxite Residue as Filler in Asphalt Concrete. Transportation Research Board 97th Annual MeetingTransportation Research Board. 2 indexed citations
19.
Kumar, Brind, et al.. (2011). Aspects of legislative cognizance of noise pollution in India.. PubMed. 53(2). 219–26. 5 indexed citations
20.
Kumar, Brind, et al.. (2004). A Brief Review of the Legislative Aspects of Noise Pollution. 6 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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