Ali Ashrafian

1.1k total citations
19 papers, 893 citations indexed

About

Ali Ashrafian is a scholar working on Civil and Structural Engineering, Building and Construction and Strategy and Management. According to data from OpenAlex, Ali Ashrafian has authored 19 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 9 papers in Building and Construction and 1 paper in Strategy and Management. Recurrent topics in Ali Ashrafian's work include Innovative concrete reinforcement materials (12 papers), Concrete and Cement Materials Research (7 papers) and Infrastructure Maintenance and Monitoring (6 papers). Ali Ashrafian is often cited by papers focused on Innovative concrete reinforcement materials (12 papers), Concrete and Cement Materials Research (7 papers) and Infrastructure Maintenance and Monitoring (6 papers). Ali Ashrafian collaborates with scholars based in Iran, Australia and United States. Ali Ashrafian's co-authors include Mohammad Rezaie-Balf, Mohammad Javad Taheri Amiri, Panagiotis G. Asteris, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Hessam AzariJafari, Omid Lotfi-Omran, Togay Ozbakkaloglu, Ali Sonboli, Mohammad Reza Farahpour and Javad Berenjian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Construction and Building Materials.

In The Last Decade

Ali Ashrafian

18 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ali Ashrafian Iran 14 653 285 74 70 46 19 893
Praveen Kumar India 28 1.7k 2.6× 355 1.2× 41 0.6× 222 3.2× 30 0.7× 101 2.0k
Junqing Zhu China 17 913 1.4× 74 0.3× 46 0.6× 140 2.0× 20 0.4× 44 1.1k
Elham Mahmoudi Germany 13 210 0.3× 45 0.2× 205 2.8× 109 1.6× 135 2.9× 29 614
Robert Evans Australia 17 524 0.8× 52 0.2× 105 1.4× 75 1.1× 61 1.3× 53 721
Faeze Khademi Iran 6 481 0.7× 241 0.8× 38 0.5× 53 0.8× 9 0.2× 7 645
Celal Çakıroğlu Türkiye 15 462 0.7× 303 1.1× 68 0.9× 92 1.3× 36 0.8× 40 711
Shi Dong China 16 578 0.9× 73 0.3× 35 0.5× 71 1.0× 21 0.5× 52 798
Jiaolong Ren China 22 1.1k 1.6× 170 0.6× 208 2.8× 116 1.7× 67 1.5× 65 1.3k
Alaa R. Gabr Egypt 16 873 1.3× 308 1.1× 31 0.4× 92 1.3× 62 1.3× 48 1.0k
Iman Faridmehr Malaysia 16 590 0.9× 343 1.2× 44 0.6× 65 0.9× 17 0.4× 62 812

Countries citing papers authored by Ali Ashrafian

Since Specialization
Citations

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

Fields of papers citing papers by Ali Ashrafian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Ashrafian

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Ashrafian. A scholar is included among the top collaborators of Ali Ashrafian 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 Ali Ashrafian. Ali Ashrafian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
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2.
Ashrafian, Ali, et al.. (2023). Toward presenting an ensemble meta‐model for evaluation of pozzolanic mixtures incorporating industrial by‐products. Structural Concrete. 25(2). 1305–1323. 9 indexed citations
3.
Ashrafian, Ali, et al.. (2023). Study of persistency of lactation and survival of Iranian Holstein dairy cattle using random regression model. Canadian Journal of Animal Science. 103(4). 406–415.
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5.
Ashrafian, Ali, et al.. (2022). On the implementation of the interpretable data-intelligence model for designing service life of structural concrete in a marine environment. Ocean Engineering. 256. 111523–111523. 22 indexed citations
6.
Ashrafian, Ali, Amir Ali Shahmansouri, Habib Akbarzadeh Bengar, & Ali Behnood. (2022). Post-fire behavior evaluation of concrete mixtures containing natural zeolite using a novel metaheuristic-based machine learning method. Archives of Civil and Mechanical Engineering. 22(2). 45 indexed citations
7.
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Ashrafian, Ali, et al.. (2021). Development of a non-dominated sorting genetic algorithm for implementing circular economy strategies in the concrete industry. Sustainable Production and Consumption. 27. 933–946. 33 indexed citations
9.
Farahpour, Mohammad Reza, et al.. (2020). Accelerated healing by topical administration of Salvia officinalis essential oil on Pseudomonas aeruginosa and Staphylococcus aureus infected wound model. Biomedicine & Pharmacotherapy. 128. 110120–110120. 77 indexed citations
10.
Ashrafian, Ali, et al.. (2020). Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement. Applied Sciences. 10(11). 3707–3707. 42 indexed citations
11.
Ashrafian, Ali, et al.. (2019). Modeling the Slump Flow of Self-Compacting Concrete Incorporating Metakaolin Using Soft Computing Techniques. SHILAP Revista de lepidopterología. 7 indexed citations
12.
Amiri, Mohammad Javad Taheri, et al.. (2019). Prediction of the Compressive Strength of Self-compacting Concrete containing Rice Husk Ash using Data Driven Models. 19(1). 196–206. 9 indexed citations
13.
Asteris, Panagiotis G., Ali Ashrafian, & Mohammad Rezaie-Balf. (2019). Prediction of the compressive strength of self-compactingconcrete using surrogate models. Computers and Concrete, an International Journal. 24(2). 137. 99 indexed citations
14.
Ashrafian, Ali, et al.. (2019). Compressive strength of Foamed Cellular Lightweight Concrete simulation: New development of hybrid artificial intelligence model. Construction and Building Materials. 230. 117048–117048. 127 indexed citations
15.
AzariJafari, Hessam, et al.. (2019). Ternary blended cement: An eco-friendly alternative to improve resistivity of high-performance self-consolidating concrete against elevated temperature. Journal of Cleaner Production. 223. 575–586. 86 indexed citations
16.
Asteris, Panagiotis G., Ali Ashrafian, & Mohammad Rezaie-Balf. (2019). Prediction of the compressive strength of self-compacting concrete using surrogate models. 40 indexed citations
17.
Rezaie-Balf, Mohammad, Sungwon Kim, Ali Ashrafian, et al.. (2019). Forecasting Daily Solar Radiation Using CEEMDAN Decomposition-Based MARS Model Trained by Crow Search Algorithm. Energies. 12(8). 1416–1416. 50 indexed citations
18.
Ashrafian, Ali, et al.. (2019). An evolutionary approach to formulate the compressive strength of roller compacted concrete pavement. Measurement. 152. 107309–107309. 63 indexed citations
19.
Ashrafian, Ali, Mohammad Javad Taheri Amiri, Mohammad Rezaie-Balf, Togay Ozbakkaloglu, & Omid Lotfi-Omran. (2018). Prediction of compressive strength and ultrasonic pulse velocity of fiber reinforced concrete incorporating nano silica using heuristic regression methods. Construction and Building Materials. 190. 479–494. 98 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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