Abidhan Bardhan

3.1k total citations · 1 hit paper
54 papers, 2.3k citations indexed

About

Abidhan Bardhan is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality and Mechanics of Materials. According to data from OpenAlex, Abidhan Bardhan has authored 54 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Civil and Structural Engineering, 20 papers in Safety, Risk, Reliability and Quality and 10 papers in Mechanics of Materials. Recurrent topics in Abidhan Bardhan's work include Geotechnical Engineering and Analysis (19 papers), Infrastructure Maintenance and Monitoring (14 papers) and Dam Engineering and Safety (13 papers). Abidhan Bardhan is often cited by papers focused on Geotechnical Engineering and Analysis (19 papers), Infrastructure Maintenance and Monitoring (14 papers) and Dam Engineering and Safety (13 papers). Abidhan Bardhan collaborates with scholars based in India, Australia and Greece. Abidhan Bardhan's co-authors include Pijush Samui, Panagiotis G. Asteris, Pijush Samui, Navid Kardani, Athanasia D. Skentou, Kypros Pilakoutas, Annan Zhou, Majidreza Nazem, Danial Jahed Armaghani and Avijit Burman and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Cement and Concrete Research.

In The Last Decade

Abidhan Bardhan

51 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models

2021 445 citations Panagiotis G. Asteris, Athanasia D. Skentou et al. Cement and Concrete Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abidhan Bardhan India	28	1.8k	511	457	261	243	54	2.3k
Pijush Samui India	29	1.9k 1.1×	522 1.0×	548 1.2×	259 1.0×	183 0.8×	91	2.6k
A. Gomes Correia Portugal	29	2.3k 1.3×	471 0.9×	307 0.7×	415 1.6×	267 1.1×	190	2.8k
Sarat Kumar Das India	31	2.0k 1.1×	783 1.5×	467 1.0×	542 2.1×	195 0.8×	119	2.7k
Tien-Thinh Le Vietnam	34	2.1k 1.1×	230 0.5×	742 1.6×	424 1.6×	359 1.5×	70	3.0k
Navid Kardani Australia	19	882 0.5×	360 0.7×	167 0.4×	217 0.8×	202 0.8×	26	1.4k
Abdülkadir Çevik Türkiye	34	2.8k 1.5×	238 0.5×	1.0k 2.2×	382 1.5×	385 1.6×	107	3.3k
Yuantian Sun China	28	1.4k 0.8×	284 0.6×	436 1.0×	275 1.1×	933 3.8×	63	2.2k
Mohammed Y. Fattah Iraq	30	2.9k 1.6×	731 1.4×	197 0.4×	287 1.1×	231 1.0×	358	3.4k
Van Quan Tran Vietnam	27	1.7k 1.0×	205 0.4×	599 1.3×	200 0.8×	130 0.5×	62	2.6k
Dookie Kim South Korea	23	1.3k 0.7×	210 0.4×	288 0.6×	132 0.5×	140 0.6×	124	1.7k

Countries citing papers authored by Abidhan Bardhan

Since Specialization

Citations

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

Fields of papers citing papers by Abidhan Bardhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abidhan Bardhan

This figure shows the co-authorship network connecting the top 25 collaborators of Abidhan Bardhan. A scholar is included among the top collaborators of Abidhan Bardhan 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 Abidhan Bardhan. Abidhan Bardhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Khatti, Jitendra, Panagiotis G. Asteris, & Abidhan Bardhan. (2025). Data proportionality and its impact on machine learning predictions of ground granulated blast furnace slag concrete strength. Frontiers of Structural and Civil Engineering. 19(8). 1305–1333.

Li, Zhixing, et al.. (2025). Stochastic simulation of microenvironment comfort and greenhouse gas emission of residential building using Monte-Carlo and hybrid intelligence paradigms. Environment Development and Sustainability. 1 indexed citations

Bardhan, Abidhan, et al.. (2024). An efficient framework of optimized ensemble paradigm for estimating resilient modulus of subgrades. Transportation Geotechnics. 48. 101315–101315. 4 indexed citations

Iqbal, Mudassir, Babatunde Abiodun Salami, Mohsin Ali Khan, et al.. (2024). Computational approach towards shear strength prediction of squat RC walls implementing ensemble and hybrid SVR paradigms. Materials Today Communications. 40. 109921–109921. 6 indexed citations

Bardhan, Abidhan, et al.. (2024). Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels. Engineering Applications of Artificial Intelligence. 136. 108997–108997. 6 indexed citations

Kaloop, Mosbeh R., et al.. (2024). Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings. Alexandria Engineering Journal. 111. 610–627. 9 indexed citations

Bardhan, Abidhan, et al.. (2024). Compressive Strength Estimation of Manufactured Sand Concrete Using Hybrid ANN Paradigms Constructed with Meta-heuristic Algorithms. Iranian Journal of Science and Technology Transactions of Civil Engineering. 48(6). 4233–4253. 5 indexed citations

Asteris, Panagiotis G., Amir H. Gandomi, Danial Jahed Armaghani, et al.. (2024). Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm. European Journal of Internal Medicine. 125. 67–73. 12 indexed citations

Bardhan, Abidhan. (2023). Probabilistic assessment of heavy-haul railway track using multi-gene genetic programming. Applied Mathematical Modelling. 125. 687–720. 8 indexed citations

10.

Ghani, Sufyan, et al.. (2023). Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms. Soil Dynamics and Earthquake Engineering. 177. 108399–108399. 42 indexed citations

11.

Bardhan, Abidhan & Panagiotis G. Asteris. (2023). Application of hybrid ANN paradigms built with nature inspired meta-heuristics for modelling soil compaction parameters. Transportation Geotechnics. 41. 100995–100995. 37 indexed citations

12.

Bardhan, Abidhan, et al.. (2023). Modelling Soil Compaction Parameters Using an Enhanced Hybrid Intelligence Paradigm of ANFIS and Improved Grey Wolf Optimiser. Mathematics. 11(14). 3064–3064. 25 indexed citations

13.

Bardhan, Abidhan, Navid Kardani, Anasua GuhaRay, et al.. (2022). Hybrid neuro swarm intelligence paradigms for predicting the shear strength of sub-soil of heavy-haul freight corridor. Road Materials and Pavement Design. 24(8). 1885–1916.

14.

Azam, Abdelhalim, Abidhan Bardhan, Mosbeh R. Kaloop, et al.. (2022). Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms. Scientific Reports. 12(1). 14454–14454. 25 indexed citations

15.

Burman, Avijit, et al.. (2022). An exact solution of three-dimensional rock mass strength criterion. Modeling Earth Systems and Environment. 9(1). 723–734. 5 indexed citations

16.

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

17.

Asteris, Panagiotis G., Athanasia D. Skentou, Abidhan Bardhan, Pijush Samui, & Kypros Pilakoutas. (2021). Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models. Cement and Concrete Research. 145. 106449–106449. 445 indexed citations breakdown →

18.

Bardhan, Abidhan, Navid Kardani, Anasua GuhaRay, et al.. (2021). Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment. Journal of Rock Mechanics and Geotechnical Engineering. 13(6). 1398–1412. 46 indexed citations

19.

Bardhan, Abidhan, Pijush Samui, Kuntal Ghosh, Amir H. Gandomi, & Siddhartha Bhattacharyya. (2021). ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. Applied Soft Computing. 110. 107595–107595. 82 indexed citations

20.

Pradeep, T., Abidhan Bardhan, Avijit Burman, & Pijush Samui. (2021). Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms. Infrastructures. 6(9). 129–129. 35 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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