Visar Farhangi

1.1k total citations
23 papers, 873 citations indexed

About

Visar Farhangi is a scholar working on Civil and Structural Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Visar Farhangi has authored 23 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 7 papers in Building and Construction and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Visar Farhangi's work include Innovative concrete reinforcement materials (9 papers), Concrete and Cement Materials Research (7 papers) and Structural Behavior of Reinforced Concrete (5 papers). Visar Farhangi is often cited by papers focused on Innovative concrete reinforcement materials (9 papers), Concrete and Cement Materials Research (7 papers) and Structural Behavior of Reinforced Concrete (5 papers). Visar Farhangi collaborates with scholars based in United States, Iran and Canada. Visar Farhangi's co-authors include Moses Karakouzian, Mohammad Javad Moradi, Hamed Dabiri, Amir Mohammad Ramezanianpour, Mahdi Kioumarsi, Amirreza Kandiri, Hamzeh Hajiloo, Marten Geertsema, Jing Li and Mohammad Reza Habibi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Sustainability.

In The Last Decade

Visar Farhangi

23 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Visar Farhangi United States 18 701 321 102 78 77 23 873
Mohammad Javad Moradi Iran 18 726 1.0× 363 1.1× 87 0.9× 72 0.9× 95 1.2× 36 930
Jari Puttonen Finland 15 534 0.8× 218 0.7× 129 1.3× 104 1.3× 76 1.0× 66 730
Yu Wan China 20 945 1.3× 408 1.3× 86 0.8× 203 2.6× 147 1.9× 58 1.2k
Konrad Bergmeister Austria 19 1.1k 1.6× 359 1.1× 130 1.3× 61 0.8× 153 2.0× 186 1.3k
Danda Shi China 19 776 1.1× 160 0.5× 120 1.2× 145 1.9× 83 1.1× 71 989
Minas E. Lemonis Greece 13 712 1.0× 279 0.9× 181 1.8× 32 0.4× 142 1.8× 18 840
M. M. Tahir Malaysia 6 693 1.0× 247 0.8× 145 1.4× 180 2.3× 90 1.2× 6 843
Murat Pala Türkiye 11 704 1.0× 244 0.8× 77 0.8× 40 0.5× 105 1.4× 14 834
Samer Barakat United Arab Emirates 17 913 1.3× 397 1.2× 160 1.6× 24 0.3× 106 1.4× 110 1.1k

Countries citing papers authored by Visar Farhangi

Since Specialization
Citations

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

Fields of papers citing papers by Visar Farhangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Visar Farhangi

This figure shows the co-authorship network connecting the top 25 collaborators of Visar Farhangi. A scholar is included among the top collaborators of Visar Farhangi 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 Visar Farhangi. Visar Farhangi 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.
Moradi, Mohammad Javad, et al.. (2024). Effect of U-Shaped Metallic Dampers on the Seismic Performance of Steel Structures based on Endurance-Time Analysis. Buildings. 14(5). 1368–1368. 6 indexed citations
2.
Moradi, Mohammad Javad, et al.. (2023). Application of Machine Learning to Predict the Mechanical Characteristics of Concrete Containing Recycled Plastic-Based Materials. Applied Sciences. 13(4). 2033–2033. 29 indexed citations
3.
Farhangi, Visar, et al.. (2023). Application of artificial intelligence in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures. Construction and Building Materials. 411. 134609–134609. 37 indexed citations
4.
Farhangi, Visar, et al.. (2023). Effects of Geogrid Reinforcement on the Backfill of Integral Bridge Abutments. Buildings. 13(4). 853–853. 13 indexed citations
5.
Farhangi, Visar, et al.. (2023). Comprehensive Review of Direct and Indirect Pozzolanic Reactivity Testing Methods. Buildings. 13(11). 2789–2789. 42 indexed citations
6.
7.
Farhangi, Visar, et al.. (2023). A novel short pile foundation system bonded to highly cemented layers for settlement control. Canadian Geotechnical Journal. 60(9). 1332–1351. 17 indexed citations
8.
9.
Moradi, Mohammad Javad, et al.. (2022). Effects of impact loads on heated-and-cooled reinforced concrete slabs. Journal of Building Engineering. 61. 105328–105328. 32 indexed citations
10.
Habibi, Mohammad Reza, et al.. (2022). Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach. Materials. 15(15). 5336–5336. 43 indexed citations
11.
Karakouzian, Moses, et al.. (2021). Mechanical Characteristics of Cement Paste in the Presence of Carbon Nanotubes and Silica Oxide Nanoparticles: An Experimental Study. Materials. 14(6). 1347–1347. 34 indexed citations
12.
Farhangi, Visar, et al.. (2021). Application of Artificial Neural Network to Predict Load Bearing Capacity and Stiffness of Perforated Masonry Walls. CivilEng. 2(1). 48–67. 38 indexed citations
13.
Farhangi, Visar, et al.. (2021). An Experimental Study on Concrete's Durability and Mechanical Characteristics Subjected to Different Curing Regimes. Civil Engineering Journal. 7(4). 676–689. 18 indexed citations
14.
Farhangi, Visar, et al.. (2021). Behaviour Investigation of SMA-Equipped Bar Hysteretic Dampers Using Machine Learning Techniques. Applied Sciences. 11(21). 10057–10057. 15 indexed citations
15.
Farhangi, Visar, et al.. (2021). Application of Ultrasonic Measurements for the Evaluation of Steel Fiber Reinforced Concrete. SHILAP Revista de lepidopterología. 11(1). 6662–6667. 24 indexed citations
16.
Farhangi, Visar, et al.. (2021). Evaluating the behaviour of centrally perforated unreinforced masonry walls: Applications of numerical analysis, machine learning, and stochastic methods. Ain Shams Engineering Journal. 13(3). 101631–101631. 31 indexed citations
17.
Farhangi, Visar, et al.. (2021). Predicting the Effect of Fly Ash on Concrete’s Mechanical Properties by ANN. Sustainability. 13(3). 1469–1469. 46 indexed citations
18.
Bazaz, Jafar Bolouri, et al.. (2021). Physical modeling of the long-term behavior of integral abutment bridge backfill reinforced with tire-rubber. International Journal of Geo-Engineering. 12(1). 20 indexed citations
19.
Karakouzian, Moses, et al.. (2020). Effect of Competent Caliche Layers on Measuring the Capacity of Axially Loaded Drilled Shafts Using the Osterberg Test. Applied Sciences. 10(18). 6169–6169. 15 indexed citations
20.
Farhangi, Visar, Moses Karakouzian, & Marten Geertsema. (2020). Effect of Micropiles on Clean Sand Liquefaction Risk Based on CPT and SPT. Applied Sciences. 10(9). 3111–3111. 42 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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