Automated Author ProfileChowdhury, Shafiul Azam
University of Texas at Arlington
Chowdhury, Shafiul Azam
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: 5.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
MSR 2022 Data and Tool Showcase Track (https://conf.researchr.org/track/msr-2022/msr-2022-data-showcase) SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNet_Miner) Paper: https://ranger.uta.edu/~csallner/papers/Shrestha22SLNET.pdf The metrics are collected using https://github.com/50417/SLNET_Metrics v2.0: Added database schema Note: SRC_block_type tables houses "block type" and its count per model. For many blocktypes such as MATLAB Function (which are actually built using a Subsystem), Simulink's get_param API returns block type as "Subsystem" instead of MATLAB Function. Thus, "Subsystem" block type include counts both from user created ones and library blocks (which are implemented using Subsystem). Thus To get a precise number for user created Subsystem, refer to "Agg_subsystem_count" in SRC_metric table.
Authors
- Shrestha, Sohil Lal ;
- Chowdhury, Shafiul Azam ;
- Csallner, Christoph
MSR 2022 Data and Tool Showcase Track (https://conf.researchr.org/track/msr-2022/msr-2022-data-showcase) SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNet_Miner) Paper: https://ranger.uta.edu/~csallner/papers/Shrestha22SLNET.pdf The metrics are collected using https://github.com/50417/SLNET_Metrics v2.0: Added database schema Note: SRC_block_type tables houses "block type" and its count per model. For many blocktypes such as MATLAB Function (which are actually built using a Subsystem), Simulink's get_param API returns block type as "Subsystem" instead of MATLAB Function. Thus, "Subsystem" block type include counts both from user created ones and library blocks (which are implemented using Subsystem). Thus To get a precise number for user created Subsystem, refer to "Agg_subsystem_count" in SRC_metric table.
Authors
- Shrestha, Sohil Lal ;
- Chowdhury, Shafiul Azam ;
- Csallner, Christoph