UlrichCODJIA/self-citation-analysi: Initial Release

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

Read full text
Authors: Armel CODJIA
DOI: 10.5281/zenodo.18220362
Cited by: 0

Abstract

Self-Citation Analysis Tool v1.0.0 Features 55-year analysis of self-citation patterns (1970-2025) 7 analysis modules with 28 visualizations Stratified sampling with proper statistical weights ARIMA time series forecasting Chunked processing for memory-constrained systems Analysis Modules Temporal trends Career stage analysis Cross-discipline comparison AI era impact Network analysis Regression modeling ML clustering Requirements Python 3.11+ PostgreSQL with OpenAlex data ~15GB RAM recommended Installation See README.md for detailed setup instructions.

Fields of Study & Subjects

scientometrics and bibliometrics research Web visibility and informetrics Psychology Research and Bibliometrics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 January 2026