Komeil Rahmati

558 citations
9 papers · 424 indexed · 1 hit paper · h-index 8

Komeil Rahmati

9 papers receiving 407 citations

Hit Papers

Predictive models for concrete properties using machine l...268202220262023202450100150200250

Peers

Komeil Rahmati
Comparison fields: 5 of 60
  • Civil and Structural Engineering 342
  • Building and Construction 206
  • Pollution 28
  • Nuclear Energy and Engineering 1
  • Polymers and Plastics 15
Replace Yiming Yang with:
Yiming Yang China
Sophia C. Alih Malaysia
Muhammad Fawad Poland
Yongcheng Ji China
Mohammad Mohtasham Moein Iran
Hai‐Van Thi Vietnam
Bakhta Boukhatem Algeria
Jiuk Shin South Korea
Girum Urgessa United States
Montasir Osman Ahmed Ali Malaysia
Komeil Rahmati relative to Yiming Yang China Yiming Yang's profile →
Citations per field
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Yiming Yang · 1×
Citations per year

Countries citing papers authored by Komeil Rahmati

Since Specialization
Citations

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

Fields of papers citing papers by Komeil Rahmati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 9 scholars most cited alongside Komeil Rahmati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Komeil Rahmati Line = papers co-authored together Komeil Rahmati links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202422
2 202410
3 20241
4 202419
5 20249
6 202345
7
Predictive models for concrete properties using machine learning and deep learning approaches: A reviewbreakdown →
2022268
8 202228
9 202222

About Komeil Rahmati

Komeil Rahmati is a scholar working on Building and Construction, Civil and Structural Engineering and Pollution, having authored 9 papers that have together received 424 indexed citations. Recurring topics across this work include Innovative concrete reinforcement materials (8 papers), Concrete and Cement Materials Research (6 papers), Structural Behavior of Reinforced Concrete (3 papers), Recycled Aggregate Concrete Performance (2 papers), Smart Materials for Construction (1 paper), Innovations in Concrete and Construction Materials (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Magnesium Oxide Properties and Applications (1 paper). The work is most often cited by research in Civil and Structural Engineering (342 citations), Building and Construction (206 citations) and Pollution (28 citations). Komeil Rahmati has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Mohammad Mohtasham Moein, Moses Karakouzian, Ashkan Saradar, Vartenie Aramali, Seyed Hosein Ghasemzadeh Mousavinejad, Yousof Rezakhani, Jaeyun Moon, S.E. Rigby and Amin Akhavan Tabassi. Their work appears in journals such as Materials, Journal of Building Engineering and Buildings.

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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