Mohamad Alipour

967 total citations
44 papers, 671 citations indexed

About

Mohamad Alipour is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Mohamad Alipour has authored 44 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Civil and Structural Engineering, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Environmental Engineering. Recurrent topics in Mohamad Alipour's work include Infrastructure Maintenance and Monitoring (17 papers), Structural Health Monitoring Techniques (9 papers) and Soil Moisture and Remote Sensing (7 papers). Mohamad Alipour is often cited by papers focused on Infrastructure Maintenance and Monitoring (17 papers), Structural Health Monitoring Techniques (9 papers) and Soil Moisture and Remote Sensing (7 papers). Mohamad Alipour collaborates with scholars based in United States, Switzerland and Iran. Mohamad Alipour's co-authors include Devin K. Harris, Gregory R. Miller, Osman E. Ozbulut, Laura E. Barnes, Amir Gheitasi, Adam C. Watts, Abdollah Bagheri, Ertuǧrul Taciroğlu, Joshua J. Picotte and Eric Rowell and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Earth-Science Reviews.

In The Last Decade

Mohamad Alipour

42 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamad Alipour United States 13 487 106 92 89 75 44 671
Tatsuro Yamane Japan 12 473 1.0× 89 0.8× 78 0.8× 83 0.9× 62 0.8× 16 606
Pang‐jo Chun Japan 15 749 1.5× 152 1.4× 113 1.2× 102 1.1× 94 1.3× 47 922
Guangyi Zhou China 9 417 0.9× 96 0.9× 57 0.6× 110 1.2× 82 1.1× 26 692
Dejin Zhang China 14 520 1.1× 100 0.9× 100 1.1× 107 1.2× 112 1.5× 49 720
Hristina Georgieva Bulgaria 5 693 1.4× 151 1.4× 125 1.4× 69 0.8× 115 1.5× 10 807
Kyle Dunphy Canada 7 353 0.7× 82 0.8× 81 0.9× 37 0.4× 62 0.8× 9 488
Ji Dang Japan 18 583 1.2× 124 1.2× 41 0.4× 54 0.6× 42 0.6× 65 755
Quoc-Lam Nguyen Vietnam 9 734 1.5× 162 1.5× 47 0.5× 44 0.5× 90 1.2× 12 881
Jun Kang Chow Hong Kong 10 339 0.7× 68 0.6× 43 0.5× 55 0.6× 56 0.7× 24 582

Countries citing papers authored by Mohamad Alipour

Since Specialization
Citations

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

Fields of papers citing papers by Mohamad Alipour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamad Alipour

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamad Alipour. A scholar is included among the top collaborators of Mohamad Alipour 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 Mohamad Alipour. Mohamad Alipour 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.
Alipour, Mohamad, Eric Rowell, Bharathan Balaji, et al.. (2025). Wildfire Fuels Mapping through Artificial Intelligence-based Methods: A Review. Earth-Science Reviews. 262. 105064–105064. 2 indexed citations
2.
Zhang, Runze, et al.. (2025). UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–18.
3.
Alipour, Mohamad, et al.. (2025). Rapid subsurface sensing via Bayesian-optimized FDTD modeling of ground penetrating radar. Journal of Building Engineering. 104. 112243–112243. 1 indexed citations
4.
Alipour, Mohamad, et al.. (2025). FUELVISION: A multimodal data fusion and multimodel ensemble algorithm for wildfire fuels mapping. International Journal of Applied Earth Observation and Geoinformation. 138. 104436–104436. 1 indexed citations
5.
Watts, Adam C., et al.. (2024). Bayesian inversion of GPR waveforms for sub-surface material characterization: An uncertainty-aware retrieval of soil moisture and overlaying biomass properties. Remote Sensing of Environment. 313. 114351–114351. 5 indexed citations
6.
Alipour, Mohamad, et al.. (2024). Optimized structural inspection path planning for automated unmanned aerial systems. Automation in Construction. 168. 105764–105764. 12 indexed citations
7.
Alipour, Mohamad, et al.. (2024). Remote Sensing and Mapping of Fine Woody Carbon With Satellite Imagery and Super Learner. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 2 indexed citations
8.
Zhang, Runze, et al.. (2024). Evaluation of Soil Moisture Retrievals from a Portable L-Band Microwave Radiometer. Remote Sensing. 16(23). 4596–4596. 1 indexed citations
9.
Zhang, Runze, Adam C. Watts, & Mohamad Alipour. (2024). Inverse Dynamic Parameter Identification for Remote Sensing of Soil Moisture From SMAP Satellite Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16592–16607. 1 indexed citations
10.
Alipour, Mohamad, et al.. (2024). Leveraging Mixed Reality for Augmented Structural Mechanics Education. 2021 ASEE Virtual Annual Conference Content Access Proceedings. 1 indexed citations
11.
Alipour, Mohamad, Inga P. La Puma, Joshua J. Picotte, et al.. (2023). A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping. Fire. 6(2). 36–36. 24 indexed citations
12.
Alipour, Mohamad, et al.. (2023). A Bibliometric Analysis of Artificial Intelligence-Based Solutions to Challenges in Wildfire Fuel Mapping. 6. 1610–1613. 2 indexed citations
13.
Alipour, Mohamad, et al.. (2023). Platypus: Sub-mm Micro-Displacement Sensing with Passive Millimeter-wave Tags As "Phase Carriers". 136–148. 4 indexed citations
14.
15.
Alipour, Mohamad, et al.. (2021). Deep Learning-Based Visual Identification of Signs of Bat Presence in Bridge Infrastructure Images: A Transfer Learning Approach. Transportation Research Record Journal of the Transportation Research Board. 2675(12). 939–951. 2 indexed citations
16.
Alipour, Mohamad & Devin K. Harris. (2020). A big data analytics strategy for scalable urban infrastructure condition assessment using semi-supervised multi-transform self-training. Journal of Civil Structural Health Monitoring. 10(2). 313–332. 33 indexed citations
17.
Alipour, Mohamad, Devin K. Harris, & Gregory R. Miller. (2019). Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks. Journal of Computing in Civil Engineering. 33(6). 147 indexed citations
18.
Alipour, Mohamad, et al.. (2019). Field Deployment and Laboratory Evaluation of 2D Digital Image Correlation for Deflection Sensing in Complex Environments. Journal of Bridge Engineering. 24(4). 22 indexed citations
19.
Alipour, Mohamad, et al.. (2017). Load-Capacity Rating of Bridge Populations through Machine Learning: Application of Decision Trees and Random Forests. Journal of Bridge Engineering. 22(10). 53 indexed citations
20.
Alipour, Mohamad, Amir Gheitasi, Devin K. Harris, Osman E. Ozbulut, & Laura E. Barnes. (2016). A Data-Driven Approach for Automated Operational Safety Evaluation of the National Inventory of Reinforced Concrete Slab Bridges. Transportation Research Board 95th Annual MeetingTransportation Research Board. 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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