S. Sathvik

502 total citations · 1 hit paper
35 papers, 293 citations indexed

About

S. Sathvik is a scholar working on Civil and Structural Engineering, Building and Construction and Radiological and Ultrasound Technology. According to data from OpenAlex, S. Sathvik has authored 35 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Civil and Structural Engineering, 17 papers in Building and Construction and 8 papers in Radiological and Ultrasound Technology. Recurrent topics in S. Sathvik's work include Innovative concrete reinforcement materials (11 papers), Occupational Health and Safety Research (8 papers) and Concrete and Cement Materials Research (7 papers). S. Sathvik is often cited by papers focused on Innovative concrete reinforcement materials (11 papers), Occupational Health and Safety Research (8 papers) and Concrete and Cement Materials Research (7 papers). S. Sathvik collaborates with scholars based in India, South Africa and Iraq. S. Sathvik's co-authors include L. Krishnaraj, Atul Kumar Singh, Pshtiwan Shakor, Bankole Awuzie, Rakesh Kumar, Muhammad Irfan, Rakesh Kumar, Kennedy C. Onyelowe, Mary Subaja Christo and Sujay Raghavendra Naganna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sustainability.

In The Last Decade

S. Sathvik

32 papers receiving 284 citations

Hit Papers

Analyzing the influence of manufactured sand and fly ash ... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Sathvik India 12 174 123 32 22 14 35 293
Xiaolong Wang China 10 207 1.2× 41 0.3× 69 2.2× 3 0.1× 14 1.0× 27 336
Charles Berryman United States 8 66 0.4× 84 0.7× 13 0.4× 3 0.1× 25 1.8× 30 249
Hisham Mohamad Malaysia 10 159 0.9× 86 0.7× 22 0.7× 8 0.6× 49 273
Wadhah Amer Hatem Iraq 9 50 0.3× 169 1.4× 25 0.8× 5 0.2× 7 0.5× 36 262
Roshartini Omar Malaysia 10 108 0.6× 117 1.0× 13 0.4× 5 0.4× 51 244
Nima Talebian Australia 11 166 1.0× 107 0.9× 26 0.8× 1 0.0× 13 0.9× 29 301
Marsail Al Salaheen Malaysia 10 110 0.6× 142 1.2× 24 0.8× 17 1.2× 17 271
C. B. K. Rao India 10 291 1.7× 233 1.9× 12 0.4× 1 0.0× 10 0.7× 21 341
Ahmed Abd El Fattah Saudi Arabia 11 178 1.0× 110 0.9× 9 0.3× 17 1.2× 33 284
Opeyemi Joshua Nigeria 10 174 1.0× 182 1.5× 10 0.3× 9 0.6× 53 310

Countries citing papers authored by S. Sathvik

Since Specialization
Citations

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

Fields of papers citing papers by S. Sathvik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Sathvik

This figure shows the co-authorship network connecting the top 25 collaborators of S. Sathvik. A scholar is included among the top collaborators of S. Sathvik 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 S. Sathvik. S. Sathvik 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.
Sathvik, S., et al.. (2025). Sustainable strength prediction of textile waste concrete using hybrid machine learning models. Asian Journal of Civil Engineering. 27(3). 1493–1516.
2.
Sathvik, S., et al.. (2025). Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods. Scientific Reports. 15(1). 4978–4978. 24 indexed citations breakdown →
4.
Rahul, Rohit, et al.. (2025). Wind response of rectangular high-rise buildings: an integrated analytical, experimental, and machine learning study. Asian Journal of Civil Engineering. 27(4). 1889–1915.
5.
Sathvik, S., et al.. (2025). Eco-friendly asphalt design: machine learning analysis of stone mastic asphalt containing shredded cigarette butt fibres. Asian Journal of Civil Engineering. 26(12). 5095–5113. 5 indexed citations
6.
Sathvik, S., et al.. (2025). Sustainable concrete incorporating banana leaf ash: strength prediction and optimisation using advanced machine learning algorithms. Asian Journal of Civil Engineering. 27(2). 703–726. 2 indexed citations
7.
Sathvik, S., et al.. (2025). Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability. Scientific Reports. 15(1). 8090–8090. 15 indexed citations
8.
Kumar, Rakesh, et al.. (2025). Investigating the Impact of Biaxial Geogrid Reinforcement on Subgrade Soil Strength Enhancement: A Machine Learning Analysis Using the MARS Model. Indian geotechnical journal. 56(3). 1194–1213. 5 indexed citations
9.
Irfan, Muhammad, et al.. (2024). Modeling barriers to the adoption of metaverse in the construction industry: An application of fuzzy-DEMATEL approach. Applied Soft Computing. 167. 112180–112180. 11 indexed citations
10.
Sathvik, S., et al.. (2024). Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms. Scientific Reports. 14(1). 15716–15716.
11.
Oyebisi, Solomon, et al.. (2024). Performance evaluation of controlled low-strength blended cement concrete modified with recycled waste materials. World Journal of Engineering. 23(1). 154–166. 2 indexed citations
12.
Sathvik, S., Rakesh Kumar, Néstor Ulloa, et al.. (2024). Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning. Scientific Reports. 14(1). 11552–11552. 22 indexed citations
13.
Singh, Atul Kumar, et al.. (2023). Assessing thermo-physical products’ efficiency in the building and construction industry: a bibliometric analysis approach. Environmental Science and Pollution Research. 30(7). 16867–16877. 12 indexed citations
14.
Sathvik, S., et al.. (2023). Assessing Factors Affecting Construction Equipment Productivity Using Structural Equation Modeling. Buildings. 13(2). 502–502. 12 indexed citations
15.
Sathvik, S., L. Krishnaraj, Bankole Awuzie, & Faming Wang. (2023). A Longitudinal Study Examining the Association between Cognitive Behavior and Rational Abilities and the Effect of Sleep Quality on Construction Laborers. Sustainability. 15(7). 6257–6257. 2 indexed citations
16.
Sathvik, S., et al.. (2023). Evaluating the potential of geopolymer concrete as a sustainable alternative for thin white-topping pavement. Frontiers in Materials. 10. 16 indexed citations
17.
Shakor, Pshtiwan, et al.. (2023). An environmental sustainability roadmap for partially substituting agricultural waste for sand in cement blocks. Frontiers in Built Environment. 9. 19 indexed citations
18.
Sathvik, S., et al.. (2023). Establishing the root causes of unsafe behaviors among construction workers: an integrative interpretive structural modeling analysis. Scientific Reports. 13(1). 7006–7006. 7 indexed citations
19.
Sathvik, S., L. Krishnaraj, & Bankole Awuzie. (2022). An assessment of prevalence of poor sleep quality among construction workers in Southern India. Built Environment Project and Asset Management. 13(2). 290–305. 8 indexed citations
20.
Sathvik, S. & L. Krishnaraj. (2022). Application of CRM Techniques for predicting the consequences of Laborers Sleep Deprivation in Construction Projects. Journal of Engineering Research. 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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