Mayssa Dabaghi
- Civil and Structural Engineering top 5%
- Geophysics top 10%
- Building and Construction top 10%
- Mechanical Engineering
- Artificial Intelligence
- Co-authors
- Armen Der KiureghianFarzin ZareianJawad FayazGeorge SaadFarook HamzehRabih A. JabrMarco BroccardoJonathan P. Stewart
- Topics
- Seismic Performance and Analysis (14 papers)Structural Health Monitoring Techniques (10 papers)earthquake and tectonic studies (5 papers)
- Journals
- Journal of Cleaner ProductionBulletin of the Seismological Society of AmericaEarthquake Engineering & Structural Dynamics
- Partner nations
- LebanonUnited StatesItaly
In The Last Decade
Mayssa Dabaghi
18 papers receiving 343 citations
Peers
Comparison fields: 5 of 45
- Civil and Structural Engineering 304
- Geophysics 76
- Building and Construction 55
- Mechanical Engineering 31
- Artificial Intelligence 15
Countries citing papers authored by Mayssa Dabaghi
This map shows the geographic impact of Mayssa Dabaghi'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 Mayssa Dabaghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayssa Dabaghi more than expected).
Fields of papers citing papers by Mayssa Dabaghi
This network shows the impact of papers produced by Mayssa Dabaghi. 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 Mayssa Dabaghi. The network helps show where Mayssa Dabaghi may publish in the future.
Co-authorship network of co-authors of Mayssa Dabaghi
This figure shows the co-authorship network connecting the top 25 collaborators of Mayssa Dabaghi. A scholar is included among the top collaborators of Mayssa Dabaghi 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 Mayssa Dabaghi. Mayssa Dabaghi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 25 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 4 | |
| 15 | 28 | |
| 16 | 55 | |
| 17 | 114 | |
| 18 | Stochastic Modeling and Simulation of Near-Fault Ground Motions for Performance-Based Earthquake Engineering | 40 |
About Mayssa Dabaghi
Mayssa Dabaghi is a scholar working on Civil and Structural Engineering, Architecture and Geophysics, having authored 18 papers that have together received 349 indexed citations. Recurring topics across this work include Seismic Performance and Analysis (14 papers), Structural Health Monitoring Techniques (10 papers) and earthquake and tectonic studies (5 papers). The work is most often cited by research in Civil and Structural Engineering (304 citations), Geophysics (76 citations) and Building and Construction (55 citations). Mayssa Dabaghi has collaborated with scholars based in Lebanon, United States and Italy. Frequent co-authors include Armen Der Kiureghian, Farzin Zareian, Jawad Fayaz, George Saad, Farook Hamzeh, Rabih A. Jabr, Marco Broccardo, Jonathan P. Stewart, Salah Sadek and Paolo Zimmaro. Their work appears in journals such as Journal of Cleaner Production, Bulletin of the Seismological Society of America 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.