Comparative Research Analysis

Overview

SciScoper's AI research comparison tool enables students and academic researchers to compare research papers efficiently by extracting and structuring critical elements from each study. It automatically analyzes the full IMRAD structure (Introduction, Methods, Results, and Discussion) and identifies PICO (Population, Intervention, Comparison, Outcome) components where applicable , providing deeper insight into study design and relevance. Users can compare research questions, study methodologies, datasets, results, and conclusions across multiple papers, making it ideal for systematic reviews, meta-analyses, and thesis writing. By automating the comparison of academic articles, SciScoper helps users identify patterns, contradictions, or research gaps that would otherwise take hours of manual reading and synthesis. Whether you are evaluating machine learning models, clinical trials, or engineering experiments, this tool streamlines your research workflow and improves analytical precision.

Key Features

• Extract IMRaD sections from uploaded academic papers
• Identify and compare PICO elements across studies
• Highlight similarities and contradictions in findings
• Generate structured comparison tables with citations
• Export comparison insights to Markdown or CSV

How It Works

1. Upload multiple research papers (PDFs or BibTeX)
2. Choose IMRaD or PICO as your comparison framework
3. View aligned summaries across all uploaded studies
4. Export or cite insights in structured format

Start Comparing Research Papers

Upload your studies and extract aligned summaries in seconds.