Baboo Rai

1.2k total citations
35 papers, 985 citations indexed

About

Baboo Rai is a scholar working on Civil and Structural Engineering, Building and Construction and Pollution. According to data from OpenAlex, Baboo Rai has authored 35 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Civil and Structural Engineering, 13 papers in Building and Construction and 2 papers in Pollution. Recurrent topics in Baboo Rai's work include Innovative concrete reinforcement materials (29 papers), Concrete and Cement Materials Research (23 papers) and Infrastructure Maintenance and Monitoring (12 papers). Baboo Rai is often cited by papers focused on Innovative concrete reinforcement materials (29 papers), Concrete and Cement Materials Research (23 papers) and Infrastructure Maintenance and Monitoring (12 papers). Baboo Rai collaborates with scholars based in India, China and Germany. Baboo Rai's co-authors include Pijush Samui, Rahul Biswas, Rakesh Kumar, S.K. Duggal, Sanjay Kumar, Lal Bahadur Roy, Dookie Kim, Danial Jahed Armaghani, Abidhan Bardhan and Jian Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Journal of Building Engineering.

In The Last Decade

Baboo Rai

34 papers receiving 947 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baboo Rai India 20 888 509 76 43 43 35 985
Marta Kadela Poland 16 674 0.8× 445 0.9× 70 0.9× 37 0.9× 78 1.8× 50 817
Kosmas Sideris Greece 15 1.0k 1.2× 407 0.8× 145 1.9× 29 0.7× 34 0.8× 28 1.1k
Yanzhong Ju China 12 754 0.8× 524 1.0× 80 1.1× 45 1.0× 32 0.7× 42 868
N Gowripalan Australia 13 897 1.0× 367 0.7× 152 2.0× 79 1.8× 35 0.8× 38 1.0k
Jie Xiao China 16 478 0.5× 255 0.5× 67 0.9× 21 0.5× 62 1.4× 48 609
Bing Fu China 18 834 0.9× 637 1.3× 51 0.7× 48 1.1× 82 1.9× 54 947
Paweł Niewiadomski Poland 12 524 0.6× 262 0.5× 76 1.0× 34 0.8× 43 1.0× 31 641
Ahmet Beycioğlu Türkiye 15 528 0.6× 359 0.7× 101 1.3× 16 0.4× 51 1.2× 39 688
Mariusz Maślak Poland 7 508 0.6× 222 0.4× 53 0.7× 32 0.7× 82 1.9× 68 636
Tomasz Ponikiewski Poland 18 1.0k 1.1× 746 1.5× 63 0.8× 55 1.3× 41 1.0× 61 1.1k

Countries citing papers authored by Baboo Rai

Since Specialization
Citations

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

Fields of papers citing papers by Baboo Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baboo Rai

This figure shows the co-authorship network connecting the top 25 collaborators of Baboo Rai. A scholar is included among the top collaborators of Baboo Rai 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 Baboo Rai. Baboo Rai 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.
Rai, Baboo, et al.. (2025). Hybrid machine learning models for predicting compressive strength of self-compacting concrete: an integration of ANFIS and Metaheuristic algorithm. Nondestructive Testing And Evaluation. 41(4). 1789–1821. 3 indexed citations
2.
Kumar, Rakesh, Divesh Ranjan Kumar, Warit Wipulanusat, et al.. (2024). Estimation of the compressive strength of ultrahigh performance concrete using machine learning models. Intelligent Systems with Applications. 25. 200471–200471. 19 indexed citations
3.
Kumar, Rakesh, Pijush Samui, & Baboo Rai. (2024). Prediction of the Splitting Tensile Strength of Manufactured Sand Based High-Performance Concrete Using Explainable Machine Learning. Iranian Journal of Science and Technology Transactions of Civil Engineering. 48(5). 3717–3734. 22 indexed citations
4.
Kumar, Rakesh, Baboo Rai, & Pijush Samui. (2024). Prediction of mechanical properties of high‐performance concrete and ultrahigh‐performance concrete using soft computing techniques: A critical review. Structural Concrete. 26(2). 1309–1337. 30 indexed citations
5.
Kumar, Abhishek, Baboo Rai, & Pijush Samui. (2024). Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models. Asian Journal of Civil Engineering. 25(4). 3151–3166. 2 indexed citations
6.
Kumar, Rakesh, et al.. (2024). Development of a prediction tool for the compressive strength of ternary blended ultra-high performance concrete using machine learning techniques. Journal of Structural Integrity and Maintenance. 9(3). 25 indexed citations
7.
8.
Biswas, Rahul, et al.. (2021). Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete. Computers and Concrete, an International Journal. 28(2). 221. 46 indexed citations
9.
Kumar, Sanjay & Baboo Rai. (2021). Durability performance and microstructure of binary blended high-performance concrete. Innovative Infrastructure Solutions. 6(3). 7 indexed citations
10.
Kumar, Sanjay, et al.. (2021). Influence of silica fume and ground granulated blast furnace slag on the engineering properties of ultra-high-performance concrete. Innovative Infrastructure Solutions. 7(1). 34 indexed citations
11.
Rai, Baboo, et al.. (2020). Assessment of synergetic effect on microscopic and mechanical properties of steel‐polypropylene hybrid fiber reinforced concrete. Structural Concrete. 22(1). 516–534. 33 indexed citations
12.
Rai, Baboo, et al.. (2019). Effect of Micro Polypropylene Fibre on the Performance of Fly Ash-Based Geopolymer Concrete. SHILAP Revista de lepidopterología. 9(1). 97–108. 12 indexed citations
13.
Biswas, Rahul & Baboo Rai. (2019). Efficiency Concepts and Models that Evaluates the Strength of Concretes Containing Different Supplementary Cementitious Materials. Civil Engineering Journal. 5(1). 18–32. 12 indexed citations
14.
15.
Rai, Baboo, et al.. (2018). A Review of Fiber Synergy in Hybrid Fiber Reinforced Concrete. SHILAP Revista de lepidopterología. 8(2). 41–50. 33 indexed citations
16.
Rai, Baboo, et al.. (2018). A statistical investigation of different parameters influencing compressive strength of fly ash induced geopolymer concrete. Structural Concrete. 19(5). 1268–1279. 47 indexed citations
17.
Rai, Baboo, et al.. (2016). Effect of Quarry Waste on Self-Compacting Concrete Containing Binary Cementitious Blends of Fly Ash and Cement. Advances in Materials Science and Engineering. 2016. 1–11. 18 indexed citations
18.
Rai, Baboo, et al.. (2014). Effect of Fly Ash on Mortar Mixes with Quarry Dust as Fine Aggregate. Advances in Materials Science and Engineering. 2014. 1–7. 45 indexed citations
19.
Rai, Baboo, et al.. (2012). Study of Waste Plastic Mix Concrete with Plasticizer. SHILAP Revista de lepidopterología. 2012. 1–5. 143 indexed citations
20.
Rai, Baboo, et al.. (2011). Influence of Marble powder/granules in Concrete mix. International Journal of Civil and Structural Engineering. 1(4). 827–834. 53 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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