Simulated ESI Index And Heatmap
The simulated ESI index helps users discover authors, institutions, and subject directions that are close to a Top 1% threshold within the current local dataset. It is a local analytical model and is not the official Clarivate ESI ranking.
Data Requirements
- Continuous WoS or SCI records, preferably covering around ten years or more.
- Publication year, citation count, document type, subject category, institution, and author fields.
- ESI subject mapping from WoS subject categories to ESI classes.
- Cleaned author and institution names.
Calculation Scope
The model ranks authors or institutions within the current dataset, selected years, selected subject classes, and current merge rules. The ranking percentage indicates relative position in that local pool.
Use the result to find:
- Subjects close to a simulated Top 1% threshold.
- Authors or institutions with near-threshold performance.
- Gaps between a candidate and the local boundary.
- High-cited papers that may explain the gap.
Entries And Outputs
| Entry | Object | Output |
|---|---|---|
Index -> Author Simulated ESI Index |
Authors | Excel indicator table |
Index -> Institution Simulated ESI Index |
Institutions | Excel indicator table |
| Author table right-click heatmap | Authors | Heatmap, Excel, SVG |
| Institution table right-click heatmap | Institutions | Heatmap, Excel, SVG |
Interpretation
A ranking percentage at or below 1% means the object is already very strong in the local pool. A value slightly above 1% can indicate a near-threshold object worth tracking. Always check the paper count, citation count, subject mapping, and merge quality before using the result in formal decisions.
Interface Screenshots
The screenshots below are retained to verify menu entries, parameter settings, result views, and export locations.
