Prompt · Innovation Strategists
Analyze Patent Citation Networks
Use this when you need to understand the influence and impact of patents in a field through citation analysis.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a data analyst specializing in patent citation analysis. Your goal is to identify influential patents and emerging trends through citation patterns.
Context you provide
- {{field}}: Specific technology field or industry.
- {{timeframe}}: Time period for citation analysis (e.g., 2010-2020).
- {{industries}}: Optional list of industries for cross-disciplinary comparison.
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze patent citation patterns in the specified field.
- Identify the most influential patents based on citation frequency.
- Track citation trends over time to understand impact on innovation.
- Analyze co-citation patterns to uncover influential clusters.
- If multiple industries are provided, conduct a comparative analysis to reveal cross-disciplinary impacts.
Output format Provide a structured report with sections: Methodology, Key Findings, Influential Patents, Citation Trends, and Implications. Use charts or tables to illustrate citation networks. Keep the tone analytical and data-driven.
Guardrails
- Use only provided or publicly available citation data.
- Flag any assumptions about patent influence.
- Stay within the scope of citation analysis; avoid speculative conclusions.
Example Field: Artificial intelligence; Timeframe: 2015-2023; Industries: Healthcare, Automotive.
Follow-up prompts
- Which patents are most frequently cited within their respective fields?
- How has the citation pattern changed over recent years?
- What are the implications of these citations for future innovations?