Google Scholar Flp Calcul

Calculate the First-author Leadership Publication (FLP) Index for any Google Scholar profile with one click.

WHAT IS THE FLP INDEX?
The FLP Index is a bibliometric indicator that quantifies independent research leadership using the formula: N × (F%)²
Where:
N = total publications and
F% = first-authorship proportion (as decimal).

WHY FLP IS NEEDED
Traditional metrics like h-index and total publications fail to detect honorary authorship where researchers are listed as authors despite negligible contributions. Studies show this occurs in 18-51% of publications.

These conventional metrics inadvertently reward unethical ranking practices by:
- Counting all publications equally regardless of authorship position
- Allowing productivity inflation through gift authorships
- Ignoring whether researchers actually lead independent research

The FLP Index prevents unethical ranking by heavily weighting first-authorship through quadratic function, making honorary middle-authorships decrease your score rather than increase it.

KEY FEATURES:
- Automatic Loading: Loads ALL articles from any profile, no manual clicking
- Intelligent Detection: Advanced algorithms detect first authorship across name variations
- Precise Calculations: First-authorship percentage as decimal (0.00-1.00)
- Visual Results: Shows total pubs, first-author count, percentage, and FLP score
- Formula Display: Transparent calculation shown
- Privacy-First: No data collection, all processing happens locally

HOW TO USE:
1. Visit any Google Scholar profile page
2. Click "Calculate FLP Factor" button
3. Wait while extension loads all articles automatically
4. View comprehensive results panel

USE CASES:
- Researchers: Assess your publication profile and research independence
- Hiring Committees: Evaluate candidates beyond h-index and total publications
- Promotion Committees: Distinguish genuine productivity from honorary authorship
- Funding Agencies: Identify researchers with independent investigation capacity
- Research Integrity: Screen for authorship patterns suggesting misconduct

PRIVACY & SECURITY:
✓ No data collection
✓ No external servers
✓ Local browser processing only
✓ Open source on GitHub (https://github.com/Walid-AL-SHAAR/google-scholar-FLP-calculator)