Rezaul Karim

756 total citations · 3 hit papers
20 papers, 487 citations indexed

About

Rezaul Karim is a scholar working on Civil and Structural Engineering, Ocean Engineering and Building and Construction. According to data from OpenAlex, Rezaul Karim has authored 20 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Civil and Structural Engineering, 4 papers in Ocean Engineering and 3 papers in Building and Construction. Recurrent topics in Rezaul Karim's work include Innovative concrete reinforcement materials (4 papers), Concrete and Cement Materials Research (3 papers) and Recycled Aggregate Concrete Performance (3 papers). Rezaul Karim is often cited by papers focused on Innovative concrete reinforcement materials (4 papers), Concrete and Cement Materials Research (3 papers) and Recycled Aggregate Concrete Performance (3 papers). Rezaul Karim collaborates with scholars based in Bangladesh, Saudi Arabia and China. Rezaul Karim's co-authors include Abul Kashem, Shuvo Dip Datta, Mohammad Alharthai, Md Hamidul Islam, Neil D. B. Bruce, Ruppa K. Thulasiram, Yang Wang, Frances Dunn, Anisul Haque and Hajime Nakagawa and has published in prestigious journals such as The Science of The Total Environment, Computational Statistics & Data Analysis and International Statistical Review.

In The Last Decade

Rezaul Karim

18 papers receiving 459 citations

Hit Papers

Hybrid data-driven approaches to predicting the compressi... 2023 2026 2024 2025 2024 2023 2024 25 50 75
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.

  1. Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses
    2024 84 citations Abul Kashem, Rezaul Karim et al. Case Studies in Construction Materials profile →
  2. Synergistic effects of supplementary cementitious materials and compressive strength prediction of concrete using machine learning algorithms with SHAP and PDP analyses
    2023 84 citations Rezaul Karim, Md Hamidul Islam et al. Case Studies in Construction Materials profile →
  3. Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses
    2024 55 citations Abul Kashem, Rezaul Karim et al. Case Studies in Construction Materials profile →

Peers

Rezaul Karim
Babak Aminnejad Iran
Sang‐Guk Yum South Korea
José Ángel Fraguela Formoso Spain
Mohammad Reza Nikoo Iran
Marc Jaxa-Rozen Netherlands
Erdoğan Şimşek Türkiye
Ming Xie China
Jiaming Zhang China
Mehmet Ünsal Türkiye
Kai Cui China
Babak Aminnejad Iran
Rezaul Karim
Citations per year, relative to Rezaul Karim Rezaul Karim (= 1×) peers Babak Aminnejad

Countries citing papers authored by Rezaul Karim

Since Specialization
Citations

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

Fields of papers citing papers by Rezaul Karim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rezaul Karim

This figure shows the co-authorship network connecting the top 25 collaborators of Rezaul Karim. A scholar is included among the top collaborators of Rezaul Karim 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 Rezaul Karim. Rezaul Karim 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.
Rastegar, Hossein, Rui Li, Rezaul Karim, et al.. (2025). AI-Driven Adaptive Air Transit Network with Modular Aerial Pods. Procedia Computer Science. 268. 284–291.
2.
Kashem, Abul, et al.. (2024). A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(4). 3457–3482. 8 indexed citations
3.
Kashem, Abul, et al.. (2024). Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses. Case Studies in Construction Materials. 20. e02991–e02991. 84 indexed citations breakdown →
4.
Kashem, Abul, et al.. (2024). Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses. Case Studies in Construction Materials. 20. e03030–e03030. 55 indexed citations breakdown →
5.
Karim, Rezaul, Md Hamidul Islam, Shuvo Dip Datta, & Abul Kashem. (2023). Synergistic effects of supplementary cementitious materials and compressive strength prediction of concrete using machine learning algorithms with SHAP and PDP analyses. Case Studies in Construction Materials. 20. e02828–e02828. 84 indexed citations breakdown →
6.
Karim, Rezaul, et al.. (2021). Stock Market Analysis Using Linear Regression and Decision Tree Regression. 1–6. 18 indexed citations
7.
Karim, Rezaul, et al.. (2021). Comparative Study to Identify the Heart Disease Using Machine Learning Algorithms. 1097–1100. 2 indexed citations
8.
Karim, Rezaul, et al.. (2020). Low-Cost Jute-Cotton and Glass Fibre Reinforced Textile Composite Sheet. 1–7. 8 indexed citations
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10.
Gijbels, Irène, et al.. (2020). Semiparametric quantile regression using family of quantile-based asymmetric densities. Computational Statistics & Data Analysis. 157. 107129–107129. 6 indexed citations
11.
Gijbels, Irène, et al.. (2019). On Quantile‐based Asymmetric Family of Distributions: Properties and Inference. International Statistical Review. 87(3). 471–504. 12 indexed citations
12.
Karim, Rezaul, et al.. (2018). Hybrid Deep Learning Model for Stock Price Prediction. 1837–1844. 79 indexed citations
13.
Rahman, Munsur, Rezaul Karim, Anisul Haque, et al.. (2018). Recent sediment flux to the Ganges-Brahmaputra-Meghna delta system. The Science of The Total Environment. 643. 1054–1064. 89 indexed citations
14.
Rahman, Mohammad Mahfuzur, et al.. (2017). Willingness to Pay for Improved Water Supply: A Policy Implications for Future Water Security. 2(3). 116. 6 indexed citations
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Karim, Rezaul, et al.. (2016). Breeding biology of Jungle Myna Acridotheres fuscus at Chittagong University Campus, Chittagong, Bangladesh. Biodiversity Heritage Library (Smithsonian Institution). 1 indexed citations
18.
Fattah, Shaikh Anowarul, et al.. (2016). An aerial landmine detection system with dynamic path and explosion mode identification features. 3. 745–752. 9 indexed citations
19.
Karim, Rezaul, et al.. (2012). Preparation and Characterization of Bioblends from Gelatin and Linear Low Density Polyethylene (LLDPE) by Extrusion Method. Journal of Adhesion Science and Technology. 26(8-9). 1281–1294. 6 indexed citations
20.
Karim, Rezaul, et al.. (2011). Rayleigh Mixture Distribution. Journal of Applied Mathematics. 2011(1). 8 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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