Ayşegül Askan

1.5k total citations
76 papers, 1.0k citations indexed

About

Ayşegül Askan is a scholar working on Civil and Structural Engineering, Geophysics and Artificial Intelligence. According to data from OpenAlex, Ayşegül Askan has authored 76 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Civil and Structural Engineering, 45 papers in Geophysics and 10 papers in Artificial Intelligence. Recurrent topics in Ayşegül Askan's work include Seismic Performance and Analysis (63 papers), Structural Health Monitoring Techniques (40 papers) and earthquake and tectonic studies (29 papers). Ayşegül Askan is often cited by papers focused on Seismic Performance and Analysis (63 papers), Structural Health Monitoring Techniques (40 papers) and earthquake and tectonic studies (29 papers). Ayşegül Askan collaborates with scholars based in Türkiye, United States and Portugal. Ayşegül Askan's co-authors include Shaghayegh Karımzadeh, Murat Altuğ Erberik, Ahmet Yakut, Jacobo Bielak, M. Semih Yücemen, Omar Ghattas, Michael Asten, V. Akçelik, Onur Pekcan and Gerhard‐Wilhelm Weber and has published in prestigious journals such as Geophysical Journal International, Bulletin of the Seismological Society of America and Earthquake Engineering & Structural Dynamics.

In The Last Decade

Ayşegül Askan

74 papers receiving 987 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ayşegül Askan Türkiye 21 754 569 87 77 53 76 1.0k
Chiara Smerzini Italy 19 1.0k 1.4× 750 1.3× 98 1.1× 153 2.0× 121 2.3× 52 1.3k
Fabio Sabetta Italy 15 1.4k 1.8× 843 1.5× 125 1.4× 41 0.5× 99 1.9× 27 1.6k
Christine Goulet United States 17 1.2k 1.6× 706 1.2× 118 1.4× 30 0.4× 57 1.1× 62 1.5k
Maurice S. Power United States 11 1.1k 1.4× 548 1.0× 34 0.4× 64 0.8× 53 1.0× 25 1.2k
Timothy D Ancheta United States 8 1.4k 1.8× 642 1.1× 57 0.7× 34 0.4× 81 1.5× 14 1.4k
Scott J. Brandenberg United States 22 1.6k 2.1× 275 0.5× 53 0.6× 84 1.1× 136 2.6× 135 1.8k
Ronnie Kamai Israel 13 1.5k 2.0× 1.0k 1.8× 90 1.0× 52 0.7× 143 2.7× 29 1.7k
Tadahiro Kishida United Arab Emirates 18 1.8k 2.4× 825 1.4× 73 0.8× 52 0.7× 156 2.9× 56 1.9k
Luis Eduardo Pérez-Rocha Mexico 17 775 1.0× 223 0.4× 28 0.3× 41 0.5× 31 0.6× 37 928
Sanaz Rezaeian United States 17 1.3k 1.8× 977 1.7× 220 2.5× 25 0.3× 83 1.6× 53 1.8k

Countries citing papers authored by Ayşegül Askan

Since Specialization
Citations

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

Fields of papers citing papers by Ayşegül Askan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayşegül Askan

This figure shows the co-authorship network connecting the top 25 collaborators of Ayşegül Askan. A scholar is included among the top collaborators of Ayşegül Askan 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 Ayşegül Askan. Ayşegül Askan 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
1.
Erberik, Murat Altuğ, et al.. (2025). Extreme Characteristics of the Ground Motions Recorded During the 2023 Kahramanmaras Turkiye Earthquakes and Their Effect on Inelastic Seismic Response of RC Frame Buildings. Journal of Earthquake Engineering. 29(16). 3520–3538. 1 indexed citations
2.
Askan, Ayşegül, et al.. (2024). Modeling of kappa factor using multivariate adaptive regression splines: application to the western Türkiye ground motion dataset. Natural Hazards. 120(8). 7817–7844. 1 indexed citations
3.
Ozturk, Alper, Eray Baran, & Ayşegül Askan. (2024). A Numerical Investigation of Longitudinal Track–Bridge Interaction in Simply Supported Precast Concrete Girder Railway Bridges. Practice Periodical on Structural Design and Construction. 29(3). 1 indexed citations
4.
5.
Sandıkkaya, M. Abdullah, et al.. (2024). Engineering attributes of ground motions from February 2023 Türkiye earthquake sequence. Earthquake Spectra. 40(4). 2268–2284. 9 indexed citations
6.
Sandıkkaya, M. Abdullah, et al.. (2024). Local site effects at the selected stations affected by the February 6 2023 Türkiye Earthquake Sequences. Soil Dynamics and Earthquake Engineering. 178. 108454–108454. 11 indexed citations
7.
Sandıkkaya, M. Abdullah, et al.. (2024). February 6, 2023 Türkiye Earthquakes: Ground Motions. Japanese Geotechnical Society Special Publication. 10(11). 282–287. 2 indexed citations
8.
Karımzadeh, Shaghayegh, et al.. (2023). ANN-based ground motion model for Turkey using stochastic simulation of earthquakes. Geophysical Journal International. 236(1). 413–429. 20 indexed citations
9.
Rubino, Bruno, et al.. (2023). Comparison of machine learning tools for damage classification: the case of L’Aquila 2009 earthquake. Natural Hazards. 116(3). 3521–3546. 4 indexed citations
10.
Askan, Ayşegül, et al.. (2022). Predictive kappa ( κ ) models for Turkey: Regional effects and uncertainty analysis. Earthquake Spectra. 38(4). 2479–2499. 10 indexed citations
11.
Askan, Ayşegül, et al.. (2021). An assessment of the 3 February 2002 Cay (Turkey) earthquake (Mw=6.6): Modeling of ground motions and felt intensity distribution. Soil Dynamics and Earthquake Engineering. 150. 106832–106832. 13 indexed citations
12.
Karımzadeh, Shaghayegh, et al.. (2021). Comparison of real and simulated records using ground motion intensity measures. Soil Dynamics and Earthquake Engineering. 147. 106796–106796. 15 indexed citations
13.
Karımzadeh, Shaghayegh, et al.. (2020). Derivation of analytical fragility curves using SDOF models of masonry structures in Erzincan (Turkey). Earthquakes and Structures. 18(2). 249–261. 17 indexed citations
14.
Erberik, Murat Altuğ, et al.. (2018). The effect of structural variability and local site conditions on building fragility functions. Earthquakes and Structures. 14(4). 285–295. 1 indexed citations
15.
Karımzadeh, Shaghayegh & Ayşegül Askan. (2018). Modeling of a historical earthquake in Erzincan, Turkey (Ms~7.8, in 1939) using regional seismological information obtained from a recent event. Acta Geophysica. 66(3). 293–304. 11 indexed citations
16.
Yamanaka, Hiroaki, et al.. (2014). DETERMINATION OF S-WAVE VELOCITY STRUCTURE BY MICROTREMOR ARRAY OBSERVATION IN TEKIRDAG AND ZEYTINBURNU (TURKEY). Çanakkale Onsekiz Mart University AVESIS. 1 indexed citations
17.
18.
Askan, Ayşegül, et al.. (2013). Seismic Intensity Maps for North Anatolian Fault Zone (Turkey) Based on Local Correlations between Instrumental Ground Motion Parameters and Felt Intensity. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
19.
Askan, Ayşegül, et al.. (2011). Hybrid-Empirical Ground Motion Models for Georgia. AGU Fall Meeting Abstracts. 2011.
20.
Askan, Ayşegül, et al.. (2010). Stochastic Strong Ground Motion Simulations on Eastern North Anatolian Fault Zone: A Sensitivity Study. AGUFM. 2010. 1 indexed citations

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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