A web application for analyzing self-citation patterns in academic research using the Semantic Scholar API.

• Self-Citation Analysis: Analyze self-citation patterns for academic authors
• Multiple Author Support: Combine multiple Semantic Scholar author IDs for the same author
• Accurate H-index Calculation: H-index is computed from scratch when multiple author IDs are provided, ensuring accurate representation of academic impact
• Two Detection Methods:
  • Method 1: Target author appears in citing paper
  • Method 2: Author overlap between cited and citing papers
• Comprehensive Metrics: H-index, citation rates, and detailed paper analysis
• Data Export: Download analysis results as JSON
• Progress Tracking: Real-time progress updates during analysis
• Error Handling: Robust error handling with retry logic for API rate limits
• API Key Support: Optional Semantic Scholar API key for enhanced rate limits and comprehensive analysis

1. Enter Author ID(s):

   • Enter a single Semantic Scholar author ID (e.g., 2262347)
   • Or enter multiple author IDs separated by commas (e.g., 2262347, 1234567, 8901234)

2. API Key (Optional):

   • Enter your Semantic Scholar API key for enhanced rate limits and more comprehensive analysis
   • Get your API key at Semantic Scholar API
   • Providing an API key increases rate limits and allows for more thorough data retrieval

3. Multiple Author IDs:

   • Useful when Semantic Scholar has split an author's profile into multiple IDs
   • The system will combine all papers from the specified author IDs
   • Self-citation detection works across all combined profiles

4. View Results:

   • Author profile with combined metrics
   • Self-citation analysis with two detection methods
   • Detailed paper list with citation breakdown
   • Download complete analysis data

Using a Semantic Scholar API key provides several advantages:

• Higher Rate Limits: Increased API call limits for faster and more comprehensive analysis
• More Complete Data: Access to additional fields and metadata not available in public API
• Better Reliability: Reduced likelihood of rate limiting during large analyses
• Enhanced Features: Access to premium API features for more detailed analysis

To get your API key:

1. Visit Semantic Scholar API
2. Sign up for a free account
3. Generate your API key
4. Enter it in the application for enhanced functionality

Semantic Scholar sometimes splits a single author's publications across multiple author IDs due to:

• Name variations
• Different institutional affiliations
• Data inconsistencies

This feature allows you to combine these split profiles for a complete analysis of an author's self-citation patterns.

Important Note: When multiple author IDs are provided, the H-index is recalculated from scratch based on the combined list of papers. This ensures the H-index accurately reflects the author's academic impact across all their publications, rather than simply taking the maximum of individual H-indices.

• Fixed: H-index calculation when multiple author IDs are provided
• Before: Used the maximum of individual H-indices from Semantic Scholar API
• After: Computes H-index from scratch based on the combined list of papers
• Impact: More accurate representation of academic impact across all publications

• API Reliability: Enhanced error handling with exponential backoff for rate limits
• Progress Tracking: Real-time progress updates during analysis
• Performance: Optimized batch processing with configurable delays
• Logging: Comprehensive logging for debugging and monitoring

URL: https://lovable.dev/projects/d44cfdfe-f0cf-41de-ac58-182821ca8ec2

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This project is built with:

• Frontend: Vite, TypeScript, React
• UI Components: shadcn-ui, Tailwind CSS
• API Integration: Semantic Scholar API with exponential backoff retry logic
• Data Processing: Custom algorithms for self-citation detection and H-index calculation

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