Mostafa Gandomi

973 total citations
21 papers, 747 citations indexed

About

Mostafa Gandomi is a scholar working on Civil and Structural Engineering, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Mostafa Gandomi has authored 21 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Civil and Structural Engineering, 5 papers in Artificial Intelligence and 4 papers in Building and Construction. Recurrent topics in Mostafa Gandomi's work include Structural Health Monitoring Techniques (6 papers), Infrastructure Maintenance and Monitoring (4 papers) and Structural Behavior of Reinforced Concrete (3 papers). Mostafa Gandomi is often cited by papers focused on Structural Health Monitoring Techniques (6 papers), Infrastructure Maintenance and Monitoring (4 papers) and Structural Behavior of Reinforced Concrete (3 papers). Mostafa Gandomi collaborates with scholars based in Iran, Australia and United States. Mostafa Gandomi's co-authors include Amir H. Gandomi, Amir H. Alavi, Rohit Salgotra, Ali R. Kashani, Fereidoon Moghadas Nejad, Pouria Hajikarimi, Alireza Sadat Hosseini, Mohsen Soltanpour, Mohammad R. Zolfaghari and Charles V. Camp and has published in prestigious journals such as Construction and Building Materials, Remote Sensing and Automation in Construction.

In The Last Decade

Mostafa Gandomi

21 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mostafa Gandomi Iran 14 410 152 124 122 79 21 747
Sami Shaffiee Haghshenas Italy 16 284 0.7× 134 0.9× 127 1.0× 82 0.7× 103 1.3× 35 737
Behrouz Pirouz Italy 15 57 0.1× 123 0.8× 142 1.1× 72 0.6× 103 1.3× 31 637
Farah Shahid Pakistan 8 26 0.1× 50 0.3× 149 1.2× 470 3.9× 136 1.7× 12 1.2k
Manu Sasidharan United Kingdom 10 97 0.2× 55 0.4× 139 1.1× 14 0.1× 5 0.1× 30 481
Shifei Shen China 15 50 0.1× 65 0.4× 34 0.3× 64 0.5× 14 0.2× 77 878
Mohamad Mazen Hittawe Saudi Arabia 13 36 0.1× 21 0.1× 58 0.5× 126 1.0× 62 0.8× 16 400
Mahdi Shadabfar China 16 551 1.3× 59 0.4× 31 0.3× 47 0.4× 5 0.1× 35 796
Valentino Sangiorgio Italy 18 215 0.5× 269 1.8× 36 0.3× 11 0.1× 5 0.1× 53 764
Georgios M. Hadjidemetriou United Kingdom 11 217 0.5× 56 0.4× 116 0.9× 10 0.1× 3 0.0× 25 482

Countries citing papers authored by Mostafa Gandomi

Since Specialization
Citations

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

Fields of papers citing papers by Mostafa Gandomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mostafa Gandomi

This figure shows the co-authorship network connecting the top 25 collaborators of Mostafa Gandomi. A scholar is included among the top collaborators of Mostafa Gandomi 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 Mostafa Gandomi. Mostafa Gandomi 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.
Roy, Sanjiban Sekhar, et al.. (2023). Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach. IEEE Transactions on Computational Social Systems. 11(4). 5028–5037. 10 indexed citations
2.
Gandomi, Mostafa, et al.. (2023). Multi-criteria decision-making optimization model for permeable breakwaters characterization. Ocean Engineering. 280. 114447–114447. 5 indexed citations
3.
Vahidi, Mehdi, et al.. (2022). Optimization of double-layer perforated breakwater based on risk assessment of uncertainties. Ocean Engineering. 265. 112612–112612. 3 indexed citations
4.
Nadimi-Shahraki, Mohammad H., et al.. (2021). A Hybrid Imputation Method for Multi-Pattern Missing Data: A Case Study on Type II Diabetes Diagnosis. Electronics. 10(24). 3167–3167. 17 indexed citations
5.
Gandomi, Mostafa, et al.. (2021). Prediction of seismic damage spectra using computational intelligence methods. Computers & Structures. 253. 106584–106584. 23 indexed citations
6.
Hosseini, Alireza Sadat, Pouria Hajikarimi, Mostafa Gandomi, Fereidoon Moghadas Nejad, & Amir H. Gandomi. (2021). Genetic programming to formulate viscoelastic behavior of modified asphalt binder. Construction and Building Materials. 286. 122954–122954. 16 indexed citations
7.
Hosseini, Alireza Sadat, Pouria Hajikarimi, Mostafa Gandomi, Fereidoon Moghadas Nejad, & Amir H. Gandomi. (2021). Optimized machine learning approaches for the prediction of viscoelastic behavior of modified asphalt binders. Construction and Building Materials. 299. 124264–124264. 50 indexed citations
8.
Gandomi, Mostafa, et al.. (2021). Spectral acceleration prediction using genetic programming based approaches. Applied Soft Computing. 106. 107326–107326. 23 indexed citations
9.
Salgotra, Rohit, Mostafa Gandomi, & Amir H. Gandomi. (2020). Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming. Chaos Solitons & Fractals. 138. 109945–109945. 141 indexed citations
10.
Salgotra, Rohit, Mostafa Gandomi, & Amir H. Gandomi. (2020). Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries. Chaos Solitons & Fractals. 140. 110118–110118. 41 indexed citations
11.
Kashani, Ali R., et al.. (2020). Metaheuristics in civil engineering: A review. 1(1). 19. 9 indexed citations
12.
Gandomi, Mostafa, et al.. (2020). Permeable Breakwaters Performance Modeling: A Comparative Study of Machine Learning Techniques. Remote Sensing. 12(11). 1856–1856. 11 indexed citations
13.
Kashani, Ali R., Mostafa Gandomi, Charles V. Camp, & Amir H. Gandomi. (2019). Optimum design of shallow foundation using evolutionary algorithms. Soft Computing. 24(9). 6809–6833. 25 indexed citations
14.
Gandomi, Amir H., et al.. (2016). Formulation of shear strength of slender RC beams using gene expression programming, part II: With shear reinforcement. Measurement. 95. 367–376. 45 indexed citations
15.
Gandomi, Mostafa, Mohsen Soltanpour, Mohammad R. Zolfaghari, & Amir H. Gandomi. (2014). Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique. Geoscience Frontiers. 7(1). 75–82. 37 indexed citations
16.
Gandomi, Amir H., et al.. (2014). Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement. Automation in Construction. 42. 112–121. 69 indexed citations
17.
Mousavi, Mohammad, et al.. (2010). A data mining approach to compressive strength of CFRP-confined concrete cylinders. STRUCTURAL ENGINEERING AND MECHANICS. 36(6). 759–783. 27 indexed citations
18.
Alavi, Amir H., Amir H. Gandomi, & Mostafa Gandomi. (2010). Comment on ‘Sivapragasam C, Maheswaran R, Venkatesh V. 2008. Genetic programming approach for flood routing in natural channels.Hydrological Processes22: 623–628’. Hydrological Processes. 24(6). 798–799. 4 indexed citations
19.
20.
Gandomi, Mostafa, et al.. (2008). Application of a Coupled Simulated Annealing-Genetic Programming Algorithm to the Prediction of Bolted Joints Behavior. 5 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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