Automated Author ProfileMadnick, Stuart
Madnick, Stuart
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: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Developing cybersecurity norms and global normative cybersecurity behaviors play an increasingly critical role in global cybersecurity governance. This paper takes a longitudinal approach to analyze cybersecurity norms development activities during the period 1997–2020. A total of 206 individual cases were collected, and 233 individual cybersecurity norms were identified and compiled into 25 subject categories. Categorizing the norm subjects alongside the frequency of cases and norms identified each year allowed for a longitudinal view of cyber norm activities and the evolution in developments over these years. This examination enables us to categorize cybersecurity norms, including their dynamic focus and evolution patterns. By studying those viewed as “successful,” we gain guidance regarding the construction of global cybersecurity governance in the digital age.
Authors
- Madnick, Benjamin ;
- Huang, Keman ;
- Madnick, Stuart
Developing cybersecurity norms and global normative cybersecurity behaviors play an increasingly critical role in global cybersecurity governance. This paper takes a longitudinal approach to analyze cybersecurity norms development activities during the period 1997–2020. A total of 206 individual cases were collected, and 233 individual cybersecurity norms were identified and compiled into 25 subject categories. Categorizing the norm subjects alongside the frequency of cases and norms identified each year allowed for a longitudinal view of cyber norm activities and the evolution in developments over these years. This examination enables us to categorize cybersecurity norms, including their dynamic focus and evolution patterns. By studying those viewed as “successful,” we gain guidance regarding the construction of global cybersecurity governance in the digital age.
Authors
- Madnick, Benjamin ;
- Huang, Keman ;
- Madnick, Stuart