Jay Sanjayan

37.0k total citations · 19 hit papers
425 papers, 29.7k citations indexed

About

Jay Sanjayan is a scholar working on Civil and Structural Engineering, Building and Construction and Automotive Engineering. According to data from OpenAlex, Jay Sanjayan has authored 425 papers receiving a total of 29.7k indexed citations (citations by other indexed papers that have themselves been cited), including 325 papers in Civil and Structural Engineering, 201 papers in Building and Construction and 70 papers in Automotive Engineering. Recurrent topics in Jay Sanjayan's work include Concrete and Cement Materials Research (243 papers), Innovative concrete reinforcement materials (175 papers) and Innovations in Concrete and Construction Materials (97 papers). Jay Sanjayan is often cited by papers focused on Concrete and Cement Materials Research (243 papers), Innovative concrete reinforcement materials (175 papers) and Innovations in Concrete and Construction Materials (97 papers). Jay Sanjayan collaborates with scholars based in Australia, China and Iraq. Jay Sanjayan's co-authors include Frank Collins, Behzad Nematollahi, Daniel Kong, Ali Nazari, Sayanthan Ramakrishnan, Yi‐Bing Cheng, Ming Xia, T. Bakharev, David Jonathan Mark Flower and Zhu Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Jay Sanjayan

402 papers receiving 28.6k citations

Hit Papers

Effect of elevated temper... 1999 2026 2008 2017 2009 2007 2007 2014 2000 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jay Sanjayan 22.4k 15.2k 7.2k 4.8k 2.8k 425 29.7k
Surendra P. Shah 27.9k 1.2× 12.2k 0.8× 5.9k 0.8× 517 0.1× 1.6k 0.6× 583 33.0k
Caijun Shi 34.7k 1.5× 17.3k 1.1× 10.4k 1.4× 729 0.2× 1.8k 0.7× 378 38.4k
Viktor Mechtcherine 11.8k 0.5× 11.0k 0.7× 1.6k 0.2× 5.0k 1.1× 1.1k 0.4× 373 17.6k
Geert De Schutter 14.2k 0.6× 8.1k 0.5× 3.1k 0.4× 2.1k 0.4× 876 0.3× 535 17.5k
Feng Xing 16.1k 0.7× 8.1k 0.5× 5.4k 0.7× 285 0.1× 2.2k 0.8× 640 21.1k
H.J.H. Brouwers 13.7k 0.6× 8.0k 0.5× 5.9k 0.8× 222 0.0× 1.6k 0.6× 432 19.5k
Prinya Chindaprasirt 21.4k 1.0× 11.9k 0.8× 8.0k 1.1× 194 0.0× 1.3k 0.5× 444 25.8k
Yunsheng Zhang 7.7k 0.3× 3.8k 0.3× 3.0k 0.4× 933 0.2× 799 0.3× 386 11.1k
Narayanan Neithalath 8.9k 0.4× 4.4k 0.3× 2.8k 0.4× 692 0.1× 1.2k 0.4× 218 11.4k
Kamal H. Khayat 16.4k 0.7× 10.4k 0.7× 1.9k 0.3× 906 0.2× 570 0.2× 395 18.4k

Countries citing papers authored by Jay Sanjayan

Since Specialization
Citations

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

Fields of papers citing papers by Jay Sanjayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Sanjayan

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Sanjayan. A scholar is included among the top collaborators of Jay Sanjayan 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 Jay Sanjayan. Jay Sanjayan 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.
Al‐Mahaidi, Riadh, et al.. (2026). Nonlinear finite element analysis of slender HSC walls. 455–460.
2.
Xie, X., et al.. (2025). Capillary extrusion rheometry for characterising wall slip behaviour in 3D printed concrete. Cement and Concrete Composites. 165. 106333–106333.
3.
Schutter, Geert De, Kolawole Adisa Olonade, Didier Snoeck, et al.. (2024). Active Control of Properties of Fresh and Hardening Concrete. SHILAP Revista de lepidopterología. 8. 198–203. 1 indexed citations
4.
Rajeev, Pathmanathan, et al.. (2024). Tensile stress-strain models for steel fiber reinforced concrete. Journal of Building Engineering. 96. 110533–110533. 5 indexed citations
5.
Perrot, Arnaud, Jean‐François Caron, Romain Mesnil, et al.. (2024). Snapshot on 3D printing with alternative binders and materials: Earth, geopolymers, gypsum and low carbon concrete. Cement and Concrete Research. 185. 107651–107651. 17 indexed citations
6.
Rajeev, Pathmanathan, et al.. (2024). Investigation of Axial Load Capacity of 3D-Printed Concrete Wall. Journal of Structural Engineering. 150(8). 2 indexed citations
7.
Rajeev, Pathmanathan, et al.. (2024). CO2 sequestration and low carbon strategies in 3D printed concrete. Journal of Building Engineering. 99. 111653–111653. 3 indexed citations
8.
Navaratnam, Satheeskumar, et al.. (2023). Applications of natural and synthetic fiber reinforced polymer in infrastructure: A suitability assessment. Journal of Building Engineering. 66. 105835–105835. 85 indexed citations
9.
Li, Wang, et al.. (2023). An integrated topology optimization method including manufacturing constraints for 3D printed fiber-reinforced concrete structures. Materials Letters. 355. 135442–135442. 8 indexed citations
11.
Kumar, Dileep, Morshed Alam, & Jay Sanjayan. (2023). Experimental and numerical investigation of novel lightweight concrete panels made with aerogel and phase change materials. Energy and Buildings. 283. 112836–112836. 18 indexed citations
12.
Pan, Zhu, et al.. (2023). Development of lightweight alkali-activated composites incorporating cenopsheres: Exhibiting high strength/density ratio and low thermal conductivity. Construction and Building Materials. 409. 133906–133906. 6 indexed citations
13.
Arunothayan, Arun R. & Jay Sanjayan. (2023). Elevated temperature effects on 3D printed ultra-high performance concrete. Construction and Building Materials. 367. 130241–130241. 22 indexed citations
14.
Sanjayan, Jay, et al.. (2023). Extrusion nozzle design and print parameter selections for 3D concrete printing. Cement and Concrete Composites. 137. 104939–104939. 66 indexed citations
15.
Mechtcherine, Viktor, Richard Buswell, Harald Kloft, et al.. (2021). Integrating reinforcement in digital fabrication with concrete: A review and classification framework. Cement and Concrete Composites. 119. 103964–103964. 144 indexed citations
16.
Bagheri, Ali, et al.. (2021). Pore gradation effect on Portland cement and geopolymer concretes. Cement and Concrete Composites. 122. 104141–104141. 28 indexed citations
17.
Bagheri, Ali, et al.. (2020). Insulation failure of lightweight composite sandwich panels exposed to flame. Fire and Materials. 44(7). 943–952. 7 indexed citations
18.
Bagheri, Ali, Ali Nazari, & Jay Sanjayan. (2019). The use of machine learning in boron-based geopolymers: Function approximation of compressive strength by ANN and GP. Measurement. 141. 241–249. 32 indexed citations
19.
Nazari, Ali, et al.. (2019). A Comparative Study of Void Distribution Pattern on the Strength Development between OPC-Based and Geopolymer Concrete. Advances in Materials Science and Engineering. 2019. 1–7. 7 indexed citations
20.
Nematollahi, Behzad & Jay Sanjayan. (2014). Efficacy of Available Superplasticizers on Geopolymers. Research Journal of Applied Sciences Engineering and Technology. 7(7). 1464–1468. 30 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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