Neda Asgarkhani

23 papers receiving 1.0k citations

Hit Papers

Machine learning-based seismic fragility and seismic vuln...20232026202420252023202320242023202450100150

Peers

Neda Asgarkhani
Comparison fields: 5 of 84
  • Civil and Structural Engineering 841
  • Building and Construction 246
  • Artificial Intelligence 91
  • Mechanics of Materials 58
  • Mechanical Engineering 55
Replace Farzin Kazemi with:
Farzin Kazemi Poland
Masoomeh Mirrashid Iran
Ji Dang Japan
Pengcheng Jiao United States
Yongjia Xu China
Christian Málaga‐Chuquitaype United Kingdom
David A. Roke United States
Masoud Mirtaheri Iran
Maria Pina Limongelli Italy
Neda Asgarkhani relative to Farzin Kazemi Poland Farzin Kazemi's profile →
Citations per field
00.5×1.5×
Farzin Kazemi · 1×
Citations per year

Countries citing papers authored by Neda Asgarkhani

Since Specialization
Citations

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

Fields of papers citing papers by Neda Asgarkhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Asgarkhani

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Asgarkhani. A scholar is included among the top collaborators of Neda Asgarkhani 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 Neda Asgarkhani. Neda Asgarkhani 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
#WorkIndexed citations
1 0
2 8
3
RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materialsbreakdown →
41
4 15
5
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concretebreakdown →
119
6 22
7
Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymersbreakdown →
57
8 12
9
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear wallsbreakdown →
88
10
Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methodsbreakdown →
98
11
Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structuresbreakdown →
176
12 17
13
Machine learning-based seismic response and performance assessment of reinforced concrete buildingsbreakdown →
130
14 1
15 1
16 17
17 53
18 3
19 29
20 43

About Neda Asgarkhani

Neda Asgarkhani is a scholar working on Civil and Structural Engineering, Building and Construction and Control and Systems Engineering, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Seismic Performance and Analysis (15 papers), Structural Health Monitoring Techniques (10 papers) and Structural Engineering and Vibration Analysis (6 papers). The work is most often cited by research in Civil and Structural Engineering (841 citations), Building and Construction (246 citations) and Statistics, Probability and Uncertainty (28 citations). Neda Asgarkhani has collaborated with scholars based in Poland, Italy and Iran. Frequent co-authors include Farzin Kazemi, Robert Jankowski, Torkan Shafighfard, Doo‐Yeol Yoo, Benyamin Mohebi, Mansoor Yakhchalian, Aybike Özyüksel Çiftçioğlu, Tohid Ghanbari-Ghazijahani and Antonio Formisano. Their work appears in journals such as Expert Systems with Applications, Engineering Structures and Reliability Engineering & System Safety.

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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