Automated Author ProfileLung, Rodica
Lung, Rodica
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: 3.4 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The dataset contains index values for BET, and major indices from the USA (NASDAQ, S&P500, DIJA), Western Europe (FTSE100, CAC40, DAX) and Central and Eastern Europe (ATX,BUX, WIG20).
Authors
- Lung, Rodica
The dataset contains index values for BET, and major indices from the USA (NASDAQ, S&P500, DIJA), Western Europe (FTSE100, CAC40, DAX) and Central and Eastern Europe (ATX,BUX, WIG20).
Authors
- Lung, Rodica
Romanian BET index data from May 2010 - February 2025.
Authors
- Lung, Rodica
Romanian BET index data from May 2010 - February 2025.
Authors
- Lung, Rodica
World Bank data on Health Nutrition and Population statistics for 2022, with country income group from 2024, for feature selection. Data is processed to remove and replace missing values. Number of features: 243, number of instances: 216, all numeric.
Authors
- Lung, Rodica
World Bank data on Health Nutrition and Population statistics for 2022, with country income group from 2024, for feature selection. Data is processed to remove and replace missing values. Number of features: 243, number of instances: 216, all numeric.
Authors
- Lung, Rodica
The WorldBank health data set has been compiled by the authors using Health data from the World Bank DataBank (https://data.worldbank.org, accessed May, 2023.) Among others, the DataBank offers country data for a variety of health indicators. We have filtered all health indicators for the Health Nutrition and Population Statistics database, for the year 2021, for all countries. We have eliminated all indicators that have missing values for more than 75% of the countries. The rest of the missing values in the data were replaced with the average value of their Region. Each year, countries are classified by the World Bank into four income categories: High Income, Upper-middle Income, Lower-middle Income, Low Income, and Not classified. Based on this information, we proposed two classes: lower-income countries (46 countries) and upper-income classes (140 countries).
Authors
- Lung, Rodica
The WorldBank health data set has been compiled by the authors using Health data from the World Bank DataBank (https://data.worldbank.org, accessed May, 2023.) Among others, the DataBank offers country data for a variety of health indicators. We have filtered all health indicators for the Health Nutrition and Population Statistics database, for the year 2021, for all countries. We have eliminated all indicators that have missing values for more than 75% of the countries. The rest of the missing values in the data were replaced with the average value of their Region. Each year, countries are classified by the World Bank into four income categories: High Income, Upper-middle Income, Lower-middle Income, Low Income, and Not classified. Based on this information, we proposed two classes: lower-income countries (46 countries) and upper-income classes (140 countries).
Authors
- Lung, Rodica