Automated Author ProfileBisserka Gaydarska
Bisserka Gaydarska
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
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: 1.7 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In the last decade, we have witnessed a second methodological revolution in research into the Trypillia megasites of Ukraine – the largest sites in fourth-millennium BC Europe and possibly the world. However, these methodological advances have not been accompanied by parallel advances in the understanding of the nature and development of the megasites. New data have led to a ‘tipping point’ which leads us to reject the traditional interpretation of megasites as long-term centres permanently occupied by tens of thousands of people. The contention of the alternative approach is the temporary, short-term dwelling of much smaller populations at megasites such as Nebelivka. In this article, the authors present two alternative models for the gradual emergence of the highly structured plan of the Trypillia megasite.
Authors
- Nebbia, Marco ;
- Bisserka Gaydarska ;
- Millard, Andrew ;
- Chapman, John
In the last decade, we have witnessed a second methodological revolution in research into the Trypillia megasites of Ukraine – the largest sites in fourth-millennium BC Europe and possibly the world. However, these methodological advances have not been accompanied by parallel advances in the understanding of the nature and development of the megasites. New data have led to a ‘tipping point’ which leads us to reject the traditional interpretation of megasites as long-term centres permanently occupied by tens of thousands of people. The contention of the alternative approach is the temporary, short-term dwelling of much smaller populations at megasites such as Nebelivka. In this article, the authors present two alternative models for the gradual emergence of the highly structured plan of the Trypillia megasite.
Authors
- Nebbia, Marco ;
- Bisserka Gaydarska ;
- Millard, Andrew ;
- Chapman, John