Navid Kardani

1.8k total citations · 1 hit paper
26 papers, 1.4k citations indexed

About

Navid Kardani is a scholar working on Civil and Structural Engineering, Ocean Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Navid Kardani has authored 26 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Civil and Structural Engineering, 7 papers in Ocean Engineering and 7 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Navid Kardani's work include Geotechnical Engineering and Analysis (6 papers), Dam Engineering and Safety (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). Navid Kardani is often cited by papers focused on Geotechnical Engineering and Analysis (6 papers), Dam Engineering and Safety (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). Navid Kardani collaborates with scholars based in Australia, India and China. Navid Kardani's co-authors include Annan Zhou, Majidreza Nazem, Abidhan Bardhan, Shui‐Long Shen, Pijush Samui, Pijush Samui, Panagiotis G. Asteris, Danial Jahed Armaghani, Mohammad Aminpour and Dookie Kim and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Construction and Building Materials and Fuel.

In The Last Decade

Navid Kardani

25 papers receiving 1.4k 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.

Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data

2020 204 citations Navid Kardani, Annan Zhou et al. Journal of Rock Mechanics and Geotechnical Engineering profile →

Peers

Navid Kardani

CSE

SRRQ

MMPL

Mingliang Zhou China

Li Wu China

Abidhan Bardhan India

Abiodun Ismail Lawal Nigeria

Danqi Li China

Xiangsheng Chen China

Behrouz Gordan Malaysia

Рамли Назир Malaysia

Pijush Samui India

Arsalan Mahmoodzadeh Iraq

Mingliang Zhou China

Navid Kardani

1.0k ×1.1

CSE

389 ×1.1

SRRQ

151 ×0.7

MMPL

295 ×1.4

484 ×2.4

Citations per year, relative to Navid Kardani Navid Kardani (= 1×) peers Mingliang Zhou

Countries citing papers authored by Navid Kardani

Since Specialization

Citations

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

Fields of papers citing papers by Navid Kardani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Navid Kardani

This figure shows the co-authorship network connecting the top 25 collaborators of Navid Kardani. A scholar is included among the top collaborators of Navid Kardani 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 Navid Kardani. Navid Kardani 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

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.

Bardhan, Abidhan, Rahul Biswas, Navid Kardani, et al.. (2022). A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns. Construction and Building Materials. 337. 127454–127454. 98 indexed citations

Aminpour, Mohammad, et al.. (2022). Slope stability machine learning predictions on spatially variable random fields with and without factor of safety calculations. Computers and Geotechnics. 153. 105094–105094. 48 indexed citations

Bardhan, Abidhan, Navid Kardani, Abdel Kareem Alzo’ubi, et al.. (2022). A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index. Archives of Computational Methods in Engineering. 29(7). 4735–4773. 22 indexed citations

Pradeep, T., Pijush Samui, Navid Kardani, & Panagiotis G. Asteris. (2022). Ensemble unit and AI techniques for prediction of rock strain. Frontiers of Structural and Civil Engineering. 16(7). 858–870. 16 indexed citations

Kardani, Navid, Annan Zhou, Xiaoshan Lin, & Majidreza Nazem. (2022). Experimental Study and Machine Learning Aided Modelling of the Mechanical Behaviour of Rammed Earth. Geotechnical and Geological Engineering. 40(10). 5007–5027. 6 indexed citations

Kardani, Navid, T. Pradeep, Pijush Samui, Dookie Kim, & Annan Zhou. (2021). Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR. Petroleum Science and Technology. 39(19-20). 804–825. 15 indexed citations

Kardani, Navid, Mojtaba Hedayati Marzbali, Kalpit Shah, & Annan Zhou. (2021). Machine learning prediction of the conversion of lignocellulosic biomass during hydrothermal carbonization. Biofuels. 13(6). 703–715. 40 indexed citations

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

10.

Khamehchi, Ehsan, et al.. (2021). Static and dynamic evaluation of a novel solution path on asphaltene deposition and drag reduction in flowlines: An experimental study. Journal of Petroleum Science and Engineering. 205. 108833–108833. 7 indexed citations

11.

Kardani, Navid, Annan Zhou, Shui‐Long Shen, & Majidreza Nazem. (2021). Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches. Transportation Geotechnics. 29. 100591–100591. 51 indexed citations

12.

Kardani, Navid, Abidhan Bardhan, Bishwajit Roy, et al.. (2021). A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates. Engineering With Computers. 38(S5). 4323–4346. 49 indexed citations

13.

Kardani, Navid, Abidhan Bardhan, Shubham Gupta, et al.. (2021). Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine. Acta Geotechnica. 17(4). 1239–1255. 61 indexed citations

14.

Kaloop, Mosbeh R., et al.. (2021). Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power. Renewable and Sustainable Energy Reviews. 148. 111315–111315. 55 indexed citations

15.

Kardani, Navid, Abidhan Bardhan, Pijush Samui, et al.. (2021). A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil. Engineering With Computers. 38(4). 3321–3340. 114 indexed citations

16.

Kardani, Navid, Abidhan Bardhan, Pijush Samui, et al.. (2021). Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients. International Journal of Thermal Sciences. 173. 107427–107427. 88 indexed citations

17.

Kardani, Navid, Annan Zhou, Majidreza Nazem, & Xiaoshan Lin. (2020). Modelling of municipal solid waste gasification using an optimised ensemble soft computing model. Fuel. 289. 119903–119903. 75 indexed citations

18.

Kardani, Navid, Annan Zhou, Majidreza Nazem, & Shui‐Long Shen. (2020). Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field data. Journal of Rock Mechanics and Geotechnical Engineering. 13(1). 188–201. 204 indexed citations breakdown →

19.

Kardani, Navid, Abidhan Bardhan, Dookie Kim, Pijush Samui, & Annan Zhou. (2020). Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO. Journal of Building Engineering. 35. 102105–102105. 87 indexed citations

20.

Kardani, Navid, Annan Zhou, Majidreza Nazem, & Shui‐Long Shen. (2019). Estimation of Bearing Capacity of Piles in Cohesionless Soil Using Optimised Machine Learning Approaches. Geotechnical and Geological Engineering. 38(2). 2271–2291. 102 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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