Arsalan Mahmoodzadeh

1.7k total citations
51 papers, 1.2k citations indexed

About

Arsalan Mahmoodzadeh is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, Arsalan Mahmoodzadeh has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Civil and Structural Engineering, 22 papers in Mechanics of Materials and 22 papers in Ocean Engineering. Recurrent topics in Arsalan Mahmoodzadeh's work include Tunneling and Rock Mechanics (25 papers), Rock Mechanics and Modeling (22 papers) and Drilling and Well Engineering (21 papers). Arsalan Mahmoodzadeh is often cited by papers focused on Tunneling and Rock Mechanics (25 papers), Rock Mechanics and Modeling (22 papers) and Drilling and Well Engineering (21 papers). Arsalan Mahmoodzadeh collaborates with scholars based in Iraq, Iran and Saudi Arabia. Arsalan Mahmoodzadeh's co-authors include Mokhtar Mohammadi, Hawkar Hashim Ibrahim, Hunar Farid Hama Ali, Hamid Reza Nejati, Sazan Nariman Abdulhamid, Shima Rashidi, Ako Daraei, Adil Hussein Mohammed, Mohammad Khishe and Shokrollah Zare and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Arsalan Mahmoodzadeh

45 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arsalan Mahmoodzadeh Iraq	22	814	410	344	328	221	51	1.2k
Hawkar Hashim Ibrahim Iraq	20	798 1.0×	340 0.8×	250 0.7×	246 0.8×	197 0.9×	47	1.2k
Behrouz Gordan Malaysia	16	974 1.2×	322 0.8×	502 1.5×	170 0.5×	219 1.0×	28	1.3k
Hunar Farid Hama Ali Iraq	14	622 0.8×	260 0.6×	250 0.7×	196 0.6×	160 0.7×	29	896
Abiodun Ismail Lawal Nigeria	21	503 0.6×	438 1.1×	250 0.7×	290 0.9×	471 2.1×	77	1.3k
Guichen Li China	25	980 1.2×	1.1k 2.6×	306 0.9×	360 1.1×	235 1.1×	76	1.8k
Bhatawdekar Ramesh Murlidhar Malaysia	17	573 0.7×	445 1.1×	194 0.6×	191 0.6×	326 1.5×	22	913
Navid Kardani Australia	19	882 1.1×	202 0.5×	360 1.0×	180 0.5×	217 1.0×	26	1.4k
Jiayao Chen China	16	653 0.8×	294 0.7×	223 0.6×	251 0.8×	202 0.9×	43	1.0k
Athanasia D. Skentou Greece	14	1.1k 1.4×	307 0.7×	184 0.5×	179 0.5×	221 1.0×	16	1.5k
Xiangsheng Chen China	21	952 1.2×	160 0.4×	323 0.9×	169 0.5×	224 1.0×	159	1.4k

Countries citing papers authored by Arsalan Mahmoodzadeh

Since Specialization

Citations

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

Fields of papers citing papers by Arsalan Mahmoodzadeh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arsalan Mahmoodzadeh

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

Mahmoodzadeh, Arsalan, et al.. (2025). Machine learning-based prediction of crack mouth opening displacement in ultra-high-performance concrete. Scientific Reports. 15(1). 39930–39930.

Al-Shamasneh, Ala’a R., et al.. (2025). Hybrid machine learning models for predicting the tensile strength of reinforced concrete incorporating nano-engineered and sustainable supplementary cementitious materials. Scientific Reports. 15(1). 35805–35805.

Al-Shamasneh, Ala’a R., Faten Khalid Karim, Arsalan Mahmoodzadeh, et al.. (2025). High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete. Computer Modeling in Engineering & Sciences. 144(2). 1573–1606.

Al-Shamasneh, Ala’a R., et al.. (2025). Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete. Scientific Reports. 15(1). 30674–30674. 2 indexed citations

Mahmoodzadeh, Arsalan, Hamid Reza Nejati, Nejib Ghazouani, & Abdulaziz S. Alghamdi. (2025). Machine learning approaches for predicting the construction time of drill-and-blast tunnels. Scientific Reports. 15(1). 31934–31934. 2 indexed citations

Mahmoodzadeh, Arsalan, et al.. (2024). Advanced computational models for accurate fracture toughness prediction in diverse concrete types: Insights from a robust laboratory database. Engineering Fracture Mechanics. 314. 110757–110757.

Albaijan, Ibrahim, et al.. (2024). Evaluation of concrete's fracture toughness under an acidic environment condition using advanced machine learning algorithms. Engineering Fracture Mechanics. 298. 109948–109948. 2 indexed citations

Mahmoodzadeh, Arsalan, et al.. (2024). Application of hybrid-optimized and stacking-ensemble labeled neural networks to predict water inflow in drill-and-blast tunnels. Tunnelling and Underground Space Technology. 156. 106273–106273. 7 indexed citations

Albaijan, Ibrahim, et al.. (2023). Optimal machine learning-based method for gauging compressive strength of nanosilica-reinforced concrete. Engineering Fracture Mechanics. 291. 109560–109560. 19 indexed citations

10.

Mahmoodzadeh, Arsalan, et al.. (2023). Predicting tunnel water inflow using a machine learning-based solution to improve tunnel construction safety. Transportation Geotechnics. 40. 100978–100978. 27 indexed citations

11.

Mahmoodzadeh, Arsalan, et al.. (2023). An optimized model based on the gene expression programming method to estimate safety factor of rock slopes. Natural Hazards. 120(2). 1665–1688. 2 indexed citations

12.

Mahmoodzadeh, Arsalan, Hamid Reza Nejati, Adil Hussein Mohammed, et al.. (2023). Prediction of minimum horizontal stress in oil wells using recurrent neural networks. Geoenergy Science and Engineering. 223. 211560–211560. 7 indexed citations

13.

Mahmoodzadeh, Arsalan, et al.. (2023). Forecasting failure load of Sandstone under different Freezing-Thawing cycles using Gaussian process regression method and grey wolf optimization algorithm. Theoretical and Applied Fracture Mechanics. 125. 103876–103876. 13 indexed citations

14.

Albaijan, Ibrahim, Arsalan Mahmoodzadeh, Adil Hussein Mohammed, et al.. (2023). Estimating the initial fracture energy of concrete using various machine learning techniques. Engineering Fracture Mechanics. 295. 109776–109776. 6 indexed citations

15.

Wang, Le, Mohammad Khishe, Mokhtar Mohammadi, & Arsalan Mahmoodzadeh. (2022). Extreme learning machine evolved by fuzzified hunger games search for energy and individual thermal comfort optimization. Journal of Building Engineering. 60. 105187–105187. 19 indexed citations

16.

Mahmoodzadeh, Arsalan, et al.. (2022). Application of Autoregressive Model in the Construction Management of Tunnels. Acta Montanistica Slovaca. 581–588. 2 indexed citations

17.

Mahmoodzadeh, Arsalan, Hamid Reza Nejati, Mokhtar Mohammadi, et al.. (2022). Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm. Expert Systems with Applications. 209. 118303–118303. 81 indexed citations

18.

Mahmoodzadeh, Arsalan, et al.. (2021). Dynamic reduction of time and cost uncertainties in tunneling projects. Tunnelling and Underground Space Technology. 109. 103774–103774. 23 indexed citations

19.

Mahmoodzadeh, Arsalan, Mokhtar Mohammadi, Sazan Nariman Abdulhamid, et al.. (2021). Predicting construction time and cost of tunnels using Markov chain model considering opinions of experts. Tunnelling and Underground Space Technology. 116. 104109–104109. 10 indexed citations

20.

Daraei, Ako, et al.. (2019). Stabilization of problematic soil by utilizing cementitious materials. Innovative Infrastructure Solutions. 4(1). 21 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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