Vartenie Aramali
- Civil and Structural Engineering top 5%
- Building and Construction top 5%
- Management Science and Operations Research top 10%
- Strategy and Management
- Management Information Systems
- Co-authors
- Mohammad Mohtasham MoeinMoses KarakouzianAshkan SaradarKomeil RahmatiSeyed Hosein Ghasemzadeh MousavinejadMounir El AsmarG. Edward GibsonAhmed Jalil Al-Bayati
- Topics
- Construction Project Management and Performance (9 papers)Value Engineering and Management (5 papers)BIM and Construction Integration (4 papers)
- Cited by
- Building and ConstructionCivil and Structural EngineeringManagement Science and Operations Research
- Partner nations
- United StatesIranSouth Africa
In The Last Decade
Vartenie Aramali
12 papers receiving 356 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Civil and Structural Engineering 233
- Building and Construction 159
- Management Science and Operations Research 69
- Strategy and Management 33
- Management Information Systems 28
Countries citing papers authored by Vartenie Aramali
This map shows the geographic impact of Vartenie Aramali'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 Vartenie Aramali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vartenie Aramali more than expected).
Fields of papers citing papers by Vartenie Aramali
This network shows the impact of papers produced by Vartenie Aramali. 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 Vartenie Aramali. The network helps show where Vartenie Aramali may publish in the future.
Co-authorship network of co-authors of Vartenie Aramali
This figure shows the co-authorship network connecting the top 25 collaborators of Vartenie Aramali. A scholar is included among the top collaborators of Vartenie Aramali 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 Vartenie Aramali. Vartenie Aramali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | Predictive models for concrete properties using machine learning and deep learning approaches: A reviewbreakdown → | 268 |
| 8 | 28 | |
| 9 | 8 | |
| 10 | 19 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 11 |
About Vartenie Aramali
Vartenie Aramali is a scholar working on Management Science and Operations Research, Management Information Systems and Radiological and Ultrasound Technology, having authored 13 papers that have together received 372 indexed citations. Recurring topics across this work include Construction Project Management and Performance (9 papers), Value Engineering and Management (5 papers) and BIM and Construction Integration (4 papers). The work is most often cited by research in Building and Construction (159 citations), Civil and Structural Engineering (233 citations) and Management Science and Operations Research (69 citations). Vartenie Aramali has collaborated with scholars based in United States, Iran and South Africa. Frequent co-authors include Mohammad Mohtasham Moein, Moses Karakouzian, Ashkan Saradar, Komeil Rahmati, Seyed Hosein Ghasemzadeh Mousavinejad, Mounir El Asmar, G. Edward Gibson, Ahmed Jalil Al-Bayati, Chien–Ho Ko and Abroon Qazi. Their work appears in journals such as Materials, Journal of Construction Engineering and Management and Journal of Building Engineering.
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.