Avik Kumar Das

624 total citations
33 papers, 417 citations indexed

About

Avik Kumar Das is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Building and Construction. According to data from OpenAlex, Avik Kumar Das has authored 33 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 8 papers in Mechanics of Materials and 7 papers in Building and Construction. Recurrent topics in Avik Kumar Das's work include Concrete Corrosion and Durability (8 papers), Innovative concrete reinforcement materials (8 papers) and Concrete and Cement Materials Research (7 papers). Avik Kumar Das is often cited by papers focused on Concrete Corrosion and Durability (8 papers), Innovative concrete reinforcement materials (8 papers) and Concrete and Cement Materials Research (7 papers). Avik Kumar Das collaborates with scholars based in Hong Kong, China and India. Avik Kumar Das's co-authors include Christopher K.Y. Leung, Deepak Suthar, Shengnan Wang, Peng Liang, Jie Pang, Jing Yu, Dhanada K. Mishra, Kai Tai Wan, Yosuke Mizuno and Jishen Qiu and has published in prestigious journals such as Food Chemistry, Cement and Concrete Research and Construction and Building Materials.

In The Last Decade

Avik Kumar Das

28 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avik Kumar Das Hong Kong 11 247 147 97 75 52 33 417
Xiaoning Zhang China 13 385 1.6× 121 0.8× 101 1.0× 107 1.4× 24 0.5× 53 479
Shiwei Lu China 16 456 1.8× 289 2.0× 74 0.8× 107 1.4× 195 3.8× 43 757
Ralf Arndt Germany 10 346 1.4× 380 2.6× 124 1.3× 63 0.8× 21 0.4× 31 561
Joëlle De Visscher Belgium 14 606 2.5× 281 1.9× 83 0.9× 156 2.1× 29 0.6× 41 723
Cong Du China 14 454 1.8× 158 1.1× 19 0.2× 73 1.0× 40 0.8× 37 567
Petros Christou Cyprus 6 102 0.4× 263 1.8× 19 0.2× 37 0.5× 137 2.6× 27 462
Qian Ma China 10 260 1.1× 63 0.4× 15 0.2× 43 0.6× 36 0.7× 20 403
Paulo Seleghim Brazil 12 77 0.3× 67 0.5× 65 0.7× 102 1.4× 25 0.5× 41 376

Countries citing papers authored by Avik Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Avik Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avik Kumar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Avik Kumar Das. A scholar is included among the top collaborators of Avik Kumar Das 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 Avik Kumar Das. Avik Kumar Das 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.
Das, Avik Kumar, et al.. (2025). ECCSrm: A novel meso-scale finite element model to simulate shrinkage of engineered cementitious composites (ECCs) incorporaring fiber characteristics. Construction and Building Materials. 461. 139753–139753. 8 indexed citations
2.
Barbhuiya, Salim, et al.. (2025). Mechanical performance of bio-based materials in structural applications: A comprehensive review. Structures. 75. 108726–108726. 2 indexed citations
3.
Barbhuiya, Salim, et al.. (2025). Structural performance and implementation challenges of next-generation concrete materials. Structures. 81. 110169–110169.
4.
5.
Banerjee, Sourav, et al.. (2025). A multilayer deep neural network framework for hemodynamic assessment of cognitive load management during problem-solving tasks. Cognitive Neurodynamics. 19(1). 104–104. 1 indexed citations
6.
Das, Avik Kumar, et al.. (2025). Application of sludge as a sustainable material in building materials: A comprehensive review. Journal of Building Engineering. 111. 113434–113434.
7.
8.
Sahani, Kameshwar, et al.. (2025). Low cost upcycling of non-segregated plastic waste as building materials in Nepal: Experimental investigation and microstructural analysis. Construction and Building Materials. 492. 142955–142955. 1 indexed citations
9.
Sahani, Kameshwar, et al.. (2025). Feasibility of low cost upcycling uncleaned waste glass as poorly graded fine aggregate (UPGWGFA) in concrete construction. Construction and Building Materials. 486. 141962–141962. 2 indexed citations
10.
11.
Das, Avik Kumar, et al.. (2025). A novel hydrogen storage vessel design: Double-layer ECC-steel composite vessel (DECC-SCV) for enahanced structural performance and durability. International Journal of Hydrogen Energy. 166. 150718–150718. 3 indexed citations
12.
Das, Avik Kumar & Christopher K.Y. Leung. (2024). A Novel Technique for High-Efficiency Characterization of Complex Cracks with Visual Artifacts. Applied Sciences. 14(16). 7194–7194. 2 indexed citations
13.
Yelve, Nitesh P., et al.. (2024). Influence of Transverse Normal Strain on Buckling and Vibration of Sandwich Plates. AIAA Journal. 63(2). 476–490. 1 indexed citations
14.
Bari, MA, et al.. (2024). Performance evaluation of optimal ensemble learning approaches with PCA and LDA-based feature extraction for heart disease prediction. Biomedical Signal Processing and Control. 101. 107138–107138. 6 indexed citations
15.
Das, Avik Kumar & Christopher K.Y. Leung. (2024). A novel deep learning‐based technique for efficient characterization of engineered cementitious composites cracks for durability assessment. Structural Concrete. 26(2). 2107–2123. 1 indexed citations
16.
Das, Avik Kumar, Jishen Qiu, Christopher K.Y. Leung, & Jing Yu. (2023). A novel strategy to assess healing induced recovery of mechanical properties(HIRMP) of strain hardening/engineering cementitious composites(SHCCs/ECCs) in autogenous healing. Cement and Concrete Composites. 142. 105177–105177. 9 indexed citations
17.
Wang, Shengnan, Avik Kumar Das, Jie Pang, & Peng Liang. (2022). Real-time monitoring the color changes of large yellow croaker (Larimichthys crocea) fillets based on hyperspectral imaging empowered with artificial intelligence. Food Chemistry. 382. 132343–132343. 29 indexed citations
18.
Das, Avik Kumar & Christopher K.Y. Leung. (2021). Fast Tomography: A greedy, heuristic, mesh size–independent methodology for local velocity reconstruction for AE waves in distance decaying environment in semi real-time. Structural Health Monitoring. 21(4). 1555–1573. 7 indexed citations
19.
Das, Avik Kumar & Christopher K.Y. Leung. (2020). A strategy for in situ determination of self-healing state for strain hardening cementitious composites. Cement and Concrete Composites. 112. 103641–103641. 11 indexed citations
20.
Das, Avik Kumar, et al.. (2016). A new methodology for detecting the first arrival time of an acoustic wave. 18. 430. 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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