Automated Author Profile
Çelik, Süleyman

Current S-Index

0.5

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.2

Average Dataset Index per dataset

Total Datasets

Total datasets for this author

Average FAIR Score

42.3%

Average FAIR Score per dataset

Total Citations

Total citations to the author's datasets

Total Mentions

Total mentions of the author's datasets

S-Index Interpretation

The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.

What it means:

A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
It provides a single number to track your research data impact over time

Current S-Index: 0.5 (sum of 2 datasets Dataset Index scores)

More information here.

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

EERI-SSEER Resilience Reconnaissance Data: 20 Months (Version: 2)

Organizational and building recovery from the 2023 Kahramanmaraş, Türkiye Earthquake Sequence

Authors

Mieler, Mike ;
Başbuğ, Burçak ;
Çelik, Süleyman ;
Comfort, Louise ;
Demiryurek, Alpay ;
Hortacsu, Ayse ;
Loos, Sabine ;
Molina Hutt, Carlos ;
Sezen, Halil ;
Sönmez, Egemen ;
Ortiz-Millan, Maggie

0 Citations0 Mentions42% FAIR0.2 Dataset Index

10.17603/ds2-ejb9-kt022025

2023 Kahramanmaraş, Türkiye Earthquake Sequence: Observations of Recovery 20 Months After (Version: 2)

This project refers to reconnaissance data collected from the 2023 Kahramanmaras, Turkiye Earthquake Sequence as part of Earthquake Engineering Research Institute Learning From Earthquakes program (EERI LFE) and Social Science Extreme Events Research (SSEER) Network. Data in this repository covers the engineering and social sciences. A mission was completed in October 2024 (10 months after the earthquakes) to study the reconstruction (engineering) and organizational recovery (social sciences) from these events.For the study of reconstruction, photos from the mission are shared with relevant metadata (such as latitude and longitude). For the study of organizational response to recovery, the interview questionnaire and de-identified notes from interviews are also shared. Data can be reused to inform similar research studies and further analysis.For any questions, please fill out the feedback form to contact the creators.