Jalal Kiani

582 citations
15 papers · 446 indexed · 1 hit paper · h-index 9
Topics
Seismic Performance and Analysis (9 papers)Structural Health Monitoring Techniques (7 papers)Metamaterials and Metasurfaces Applications (2 papers)

In The Last Decade

Jalal Kiani

14 papers receiving 436 citations

Hit Papers

On the application of machine learning techniques to deri...2019202620212023201950100150200

Peers

Jalal Kiani
Comparison fields: 5 of 51
  • Civil and Structural Engineering 387
  • Building and Construction 54
  • Statistics, Probability and Uncertainty 34
  • Artificial Intelligence 28
  • Geophysics 28
Replace Daniele Spina with:
Daniele Spina Italy
R.P. Kassawara United States
Minjie Zhu United States
Mohamed Noureldin South Korea
Laura Eads United States
Davide Lavorato Italy
Silvia Alessandri Italy
Ricardo Herrera Chile
Mohsen Tehranizadeh Iran
Chang He China
Jalal Kiani relative to Daniele Spina Italy Daniele Spina's profile →
Citations per field
00.5×2.8×
Daniele Spina · 1×
Citations per year

Countries citing papers authored by Jalal Kiani

Since Specialization
Citations

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

Fields of papers citing papers by Jalal Kiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jalal Kiani

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 14
3
Tips for molecular detection of SARS-CoV-2 using real-time PCR method
0
4 24
5
On the application of machine learning techniques to derive seismic fragility curvesbreakdown →
230
6 4
7 38
8 38
9 20
10 38
11 4
12 9
13 20
14 1
15 3

About Jalal Kiani

Jalal Kiani is a scholar working on Civil and Structural Engineering, Building and Construction and Electronic, Optical and Magnetic Materials, having authored 15 papers that have together received 446 indexed citations. Recurring topics across this work include Seismic Performance and Analysis (9 papers), Structural Health Monitoring Techniques (7 papers) and Metamaterials and Metasurfaces Applications (2 papers). The work is most often cited by research in Civil and Structural Engineering (387 citations), Statistics, Probability and Uncertainty (34 citations) and Building and Construction (54 citations). Jalal Kiani has collaborated with scholars based in Iran, United States and United Kingdom. Frequent co-authors include Shahram Pezeshk, Charles V. Camp, Mohammadreza Khanmohammadi, Mehdi Ghassemieh, Aliakbar Gholampour, Shahab Falahi, Javad Ranjbari, Farhad Seif and Majid Khoshmirsafa. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Materials Science and Earthquake Engineering & Structural Dynamics.

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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