Navid Kardani

1.8k citations

26 papers · 1.4k indexed · 1 hit paper · h-index 19

Civil and Structural Engineering top 1%
Safety, Risk, Reliability and Quality top 1%
Management, Monitoring, Policy and Law top 2%
Mechanical Engineering top 10%
Mechanics of Materials top 5%

Co-authors: Annan Zhou Majidreza Nazem Abidhan Bardhan Shui‐Long Shen Pijush Samui Panagiotis G. Asteris Danial Jahed Armaghani Mohammad Aminpour
Topics: Geotechnical Engineering and Analysis (6 papers)Dam Engineering and Safety (5 papers)Infrastructure Maintenance and Monitoring (4 papers)
Cited by: Civil and Structural Engineering Safety, Risk, Reliability and Quality Management, Monitoring, Policy and Law
Journals: Renewable and Sustainable Energy Reviews Construction and Building Materials Fuel
Partner nations: Australia India China

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

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Hybrid neuro swarm intelligence paradigms for predicting the shear strength of sub-soil of heavy-haul freight corridor 2022 ·Road Materials and Pavement Design ·Abidhan Bardhan,Navid Kardani,Anasua GuhaRay,Pijush Samui,Chongzhi Wu,Yanmei Zhang,Siddhartha Bhattacharyya,Candan Gökçeoğlu	0
2	A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns 2022 ·Construction and Building Materials ·Abidhan Bardhan,Rahul Biswas,Navid Kardani,Mudassir Iqbal,Pijush Samui,Manmohan Singh,Panagiotis G. Asteris	98
3	Slope stability machine learning predictions on spatially variable random fields with and without factor of safety calculations 2022 ·Computers and Geotechnics ·Mohammad Aminpour,(unknown),(unknown),Navid Kardani,Sara Moridpour,Majidreza Nazem	48
4	A Comparative Analysis of Hybrid Computational Models Constructed with Swarm Intelligence Algorithms for Estimating Soil Compression Index 2022 ·Archives of Computational Methods in Engineering ·Abidhan Bardhan,Navid Kardani,Abdel Kareem Alzo’ubi,Pijush Samui,Amir H. Gandomi,Candan Gökçeoğlu	22
5	Ensemble unit and AI techniques for prediction of rock strain 2022 ·Frontiers of Structural and Civil Engineering ·T. Pradeep,Pijush Samui,Navid Kardani,Panagiotis G. Asteris	16
6	Experimental Study and Machine Learning Aided Modelling of the Mechanical Behaviour of Rammed Earth 2022 ·Geotechnical and Geological Engineering ·Navid Kardani,Annan Zhou,Xiaoshan Lin,Majidreza Nazem	6
7	Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR 2021 ·Petroleum Science and Technology ·Navid Kardani,T. Pradeep,Pijush Samui,Dookie Kim,Annan Zhou	15
8	Machine learning prediction of the conversion of lignocellulosic biomass during hydrothermal carbonization 2021 ·Biofuels ·Navid Kardani,Mojtaba Hedayati Marzbali,Kalpit Shah,Annan Zhou	40
9	Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment 2021 ·Journal of Rock Mechanics and Geotechnical Engineering ·Abidhan Bardhan,Navid Kardani,Anasua GuhaRay,Avijit Burman,Pijush Samui,Yanmei Zhang	46
10	Static and dynamic evaluation of a novel solution path on asphaltene deposition and drag reduction in flowlines: An experimental study 2021 ·Journal of Petroleum Science and Engineering ·(unknown),Ehsan Khamehchi,Mohammad Ghaffarzadeh,Navid Kardani	7
11	Estimating unconfined compressive strength of unsaturated cemented soils using alternative evolutionary approaches 2021 ·Transportation Geotechnics ·Navid Kardani,Annan Zhou,Shui‐Long Shen,Majidreza Nazem	51
12	A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates 2021 ·Engineering With Computers ·Navid Kardani,Abidhan Bardhan,Bishwajit Roy,Pijush Samui,Majidreza Nazem,Danial Jahed Armaghani,Annan Zhou	49
13	Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine 2021 ·Acta Geotechnica ·Navid Kardani,Abidhan Bardhan,Shubham Gupta,Pijush Samui,Majidreza Nazem,YM Zhang,Annan Zhou	61
14	Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power 2021 ·Renewable and Sustainable Energy Reviews ·Mosbeh R. Kaloop,Abidhan Bardhan,Navid Kardani,Pijush Samui,Jong Wan Hu,(unknown)	55
15	A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil 2021 ·Engineering With Computers ·Navid Kardani,Abidhan Bardhan,Pijush Samui,Majidreza Nazem,Annan Zhou,Danial Jahed Armaghani	114
16	Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients 2021 ·International Journal of Thermal Sciences ·Navid Kardani,Abidhan Bardhan,Pijush Samui,Majidreza Nazem,Panagiotis G. Asteris,Annan Zhou	88
17	Modelling of municipal solid waste gasification using an optimised ensemble soft computing model 2020 ·Fuel ·Navid Kardani,Annan Zhou,Majidreza Nazem,Xiaoshan Lin	75
18	Improved prediction of slope stability using a hybrid stacking ensemble method based on finite element analysis and field databreakdown → 2020 ·Journal of Rock Mechanics and Geotechnical Engineering ·Navid Kardani,Annan Zhou,Majidreza Nazem,Shui‐Long Shen	204
19	Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO 2020 ·Journal of Building Engineering ·Navid Kardani,Abidhan Bardhan,Dookie Kim,Pijush Samui,Annan Zhou	87
20	Estimation of Bearing Capacity of Piles in Cohesionless Soil Using Optimised Machine Learning Approaches 2019 ·Geotechnical and Geological Engineering ·Navid Kardani,Annan Zhou,Majidreza Nazem,Shui‐Long Shen	102

About Navid Kardani

Navid Kardani is a scholar working on Safety, Risk, Reliability and Quality, Civil and Structural Engineering and Ocean Engineering, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Geotechnical Engineering and Analysis (6 papers), Dam Engineering and Safety (5 papers) and Infrastructure Maintenance and Monitoring (4 papers). The work is most often cited by research in Civil and Structural Engineering (882 citations), Safety, Risk, Reliability and Quality (360 citations) and Management, Monitoring, Policy and Law (224 citations). Navid Kardani has collaborated with scholars based in Australia, India and China. Frequent 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. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Construction and Building Materials and Fuel.

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.

Explore authors with similar magnitude of impact