Masoud Karbasi

3.1k total citations · 1 hit paper
90 papers, 2.4k citations indexed

About

Masoud Karbasi is a scholar working on Environmental Engineering, Global and Planetary Change and Civil and Structural Engineering. According to data from OpenAlex, Masoud Karbasi has authored 90 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Environmental Engineering, 21 papers in Global and Planetary Change and 20 papers in Civil and Structural Engineering. Recurrent topics in Masoud Karbasi's work include Hydrological Forecasting Using AI (25 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Nanofluid Flow and Heat Transfer (11 papers). Masoud Karbasi is often cited by papers focused on Hydrological Forecasting Using AI (25 papers), Plant Water Relations and Carbon Dynamics (12 papers) and Nanofluid Flow and Heat Transfer (11 papers). Masoud Karbasi collaborates with scholars based in Iran, Australia and Canada. Masoud Karbasi's co-authors include Mehdi Jamei, Anurag Malik, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Iman Ahmadianfar, Mumtaz Ali, Hazi Mohammad Azamathulla, Amin Asadi, Ismail Adewale Olumegbon, Aitazaz A. Farooque and Manish Pandey and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Masoud Karbasi

89 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.

Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithms

2025 26 citations Khabat Khosravi, Aitazaz A. Farooque et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masoud Karbasi Iran	33	744	492	465	436	390	90	2.4k
Mehdi Jamei Iran	37	891 1.2×	458 0.9×	469 1.0×	544 1.2×	626 1.6×	112	2.9k
Mingzhu Wang China	29	357 0.5×	277 0.6×	947 2.0×	151 0.3×	272 0.7×	92	2.9k
Roslan Hashim Malaysia	30	621 0.8×	324 0.7×	1.2k 2.6×	213 0.5×	130 0.3×	108	3.0k
Wenming Zhang China	28	364 0.5×	129 0.3×	607 1.3×	204 0.5×	374 1.0×	232	2.6k
Wenjie Zhang China	26	356 0.5×	228 0.5×	540 1.2×	175 0.4×	416 1.1×	141	2.4k
Hongxin Chen China	35	280 0.4×	426 0.9×	1.4k 3.0×	84 0.2×	244 0.6×	165	3.2k
Prabhata K. Swamee India	28	609 0.8×	220 0.4×	1.8k 4.0×	568 1.3×	443 1.1×	140	3.2k
Eamon McKeogh Ireland	22	358 0.5×	121 0.2×	196 0.4×	219 0.5×	184 0.5×	44	3.4k
Guangcai Gong China	36	581 0.8×	279 0.6×	413 0.9×	48 0.1×	1.0k 2.6×	126	3.9k

Countries citing papers authored by Masoud Karbasi

Since Specialization

Citations

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

Fields of papers citing papers by Masoud Karbasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Karbasi

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

Khosravi, Khabat, Sayed M. Bateni, Dongkyun Kim, et al.. (2025). Assessing Pan-Canada wildfire susceptibility by integrating satellite data with novel hybrid deep learning and black widow optimizer algorithms. The Science of The Total Environment. 977. 179369–179369. 3 indexed citations

Fattah‐alhosseini, Arash, et al.. (2025). Improved electrochemical stability of AZ31B magnesium alloy via PEO surface films with strontium and chromium additives at different current densities. Surface and Coatings Technology. 515. 132681–132681. 1 indexed citations

Karbasi, Masoud, Suqi Liu, Travis J. Esau, et al.. (2025). A state-of-the-art novel approach to predict potato crop coefficient (Kc) by integrating advanced machine learning tools. Smart Agricultural Technology. 11. 100896–100896. 2 indexed citations

Jamei, Mehdi, Mumtaz Ali, Masoud Karbasi, et al.. (2025). Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection. Ecological Informatics. 92. 103468–103468.

Karbasi, Masoud, Mumtaz Ali, Sayed M. Bateni, et al.. (2024). Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm. Scientific Reports. 14(1). 15051–15051. 7 indexed citations

Jamei, Mehdi, Ahmad Alkouh, Masoud Karbasi, & Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬. (2024). Thermo-physical properties estimation of an oil-based hybrid nanofluid: application of a new hybrid neurocomputing approach. Journal of Thermal Analysis and Calorimetry. 150(4). 2295–2318. 2 indexed citations

Karbasi, Masoud, Mumtaz Ali, Aitazaz A. Farooque, et al.. (2024). Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting. Expert Systems with Applications. 256. 124900–124900. 12 indexed citations

Karbasi, Masoud, Mumtaz Ali, Mehdi Jamei, et al.. (2024). Innovative multi-temporal evapotranspiration forecasting using empirical fourier decomposition and bidirectional long short-term memory. SHILAP Revista de lepidopterología. 9. 100619–100619. 3 indexed citations

Jamei, Mehdi, Mumtaz Ali, Sayed M. Bateni, et al.. (2024). Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy. Computers and Electronics in Agriculture. 217. 108609–108609. 10 indexed citations

10.

Jamei, Mehdi, Mumtaz Ali, Hassan Afzaal, et al.. (2023). Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest. Computers and Electronics in Agriculture. 216. 108479–108479. 5 indexed citations

11.

Jamei, Mehdi, et al.. (2023). Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR. Expert Systems with Applications. 237. 121512–121512. 31 indexed citations

12.

Jamei, Mehdi, Masoud Karbasi, Mumtaz Ali, et al.. (2023). A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm. Expert Systems with Applications. 222. 119811–119811. 15 indexed citations

13.

Jamei, Mehdi, Mumtaz Ali, Masoud Karbasi, et al.. (2023). A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture. Engineering Applications of Artificial Intelligence. 120. 105895–105895. 32 indexed citations

14.

Singh, U. K., Mehdi Jamei, Masoud Karbasi, Anurag Malik, & Manish Pandey. (2022). Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture. Journal of Hydrology. 607. 127549–127549. 43 indexed citations

15.

Shahsavar, Amin, et al.. (2022). Experimental exploration of rheological behavior of polyethylene glycol-carbon dot nanofluid: Introducing a robust artificial intelligence paradigm optimized with unscented Kalman filter technique. Journal of Molecular Liquids. 358. 119198–119198. 11 indexed citations

16.

Askari, Ighball Baniasad, Amin Shahsavar, Mehdi Jamei, Francesco Calise, & Masoud Karbasi. (2022). A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms. Renewable Energy. 193. 149–166. 13 indexed citations

17.

Shahsavar, Amin, et al.. (2022). Investigation on two-phase fluid mixture flow, heat transfer and entropy generation of a non-Newtonian water-CMC/CuO nanofluid inside a twisted tube with variable twist pitch: Numerical and evolutionary machine learning simulation. Engineering Analysis with Boundary Elements. 140. 322–337. 26 indexed citations

18.

Jamei, Mehdi, et al.. (2022). Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection. Computers and Electronics in Agriculture. 193. 106687–106687. 19 indexed citations

19.

Ahmadianfar, Iman, Mehdi Jamei, Masoud Karbasi, Ahmad Sharafati, & Bahram Gharabaghi. (2021). A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups. Engineering With Computers. 38(4). 3439–3461. 48 indexed citations

20.

Karbasi, Minoo, Masoud Karbasi, A. Saidi, & Milad Fathi. (2014). SINTERING AND CHARACTERIZATION OF WC-20WT.% (FE, CO) NANO-STRUCTURED POWDERS DEVELOPED BY BALL-MILLING. 2(3). 3–14. 3 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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