Collect and analyze publication counts, citations, and h-index metrics.
npx skills add https://github.com/t46/ra-skills --skill research-metrics
Please help me install this Agent Skill. Skill: research-metrics Source: https://github.com/t46/ra-skills/tree/main/skills/research-metrics Command: npx skills add https://github.com/t46/ra-skills --skill research-metrics
研究評価指標を手動で集計・分析するのは時間と労力がかかります。本スキルは論文数・被引用数・h-index などの定量指標を自動収集・分析し、可視化可能なデータに整理します。
指定した研究者名と期間を入力して実行してください。
High-intent search queries and answers about installing and using this skill.
Research impact metrics such as h-index, citation counts, and publication volume are collected and analyzed automatically by specifying researcher names and time periods to generate visualizable data for reporting.
Calculating h-index and i10-index for academic performance involves aggregating publication counts and citation data across individuals or groups, which this process automates to support candidate research assessment and grant applications.
Yes, citation data and research metrics can be analyzed across entire institutions or research groups, providing comparative analytics by field and identifying co-author networks suitable for institutional reporting.
Specifying a time period or research field is optional when collecting research metrics, allowing you to filter academic performance data for specific grant applications or narrow institutional analytics.
Preparing data for institutional analytics and IR evaluation reports requires organizing publication counts, top papers, and co-author networks into visualizable formats, which automated research metrics collection provides for multiple stakeholders.
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