Get Free Access to 200+ Million Papers with AI-Powered Insights
Search, cite, and import research papers, journal articles, and studies directly into your ATLAS.ti workspace. With Paper Search 2.0, you can enter your research question, receive tailored AI summaries, and seamlessly integrate findings into your projects β all within ATLAS.ti Web.
- Streamline Your Literature Review Process
- Accelerate Your Research with AI-Power
- Paper Search 2.0 Enhanced by ATLAS.ti AI Lab
- One Workflow to Simplify Literature Reviews
- Future Developments
Streamline Your Literature Review Process
Accelerate Your Research with AI-Power
Paper Search 2.0 harnesses cutting-edge AI technology to streamline your research workflow. Quickly assess paper relevance without reading entire documents. Simply input your research question, and let our tool do the heavy lifting:
π Search and Import: Access and explore over 200 million scientific resources from Semantic Scholar.
π Streamlined Search: Efficiently find and import relevant scientific resources with our streamlined search.
π Focused AI-Summaries: Provides concise summaries of the top 5 papers, highlighting content specifically addressing your research question.
ποΈ Direct Citation: Easily cite imported documents within your ATLAS.ti projects.
π οΈ Integrated Workflow: Conduct your entire literature review process within a single platform.
π§ AI-Powered Understanding: Utilizes advanced Natural Language Processing to truly comprehend your research needs.
Please note: ATLAS.ti's Paper Search 2.0 is currently in Beta. We are actively collecting feedback to enhance its performance. Based on user input, some functionalities may change. Thank you for helping us improve!
Paper Search 2.0 Enhanced by ATLAS.ti AI Lab
At the heart of Paper Search 2.0 lies the exceptional work of the ATLAS.ti AI Lab team. Our experts have meticulously fine-tuned OpenAI models to deliver unparalleled search precision and contextual insights tailored to your research needs.
How It Works:
When you input your research question, the ATLAS.ti AI interprets and refines it, generating relevant keywords to search through Semantic Scholarβs extensive academic database. The AI then identifies the most pertinent papers, summarizes and contextualizes the findings, and delivers concise, actionable insights.
This seamless process highlights the pivotal role of ATLAS.ti AI in transforming raw data into valuable knowledge. Thanks to the innovative efforts of the ATLAS.ti AI Lab, Paper Search 2.0 doesn't just find papers β it finds the right papers, providing you with key insights directly applicable to your research.
One Workflow to Simplify Literature Reviews
Discover how ATLAS.ti Web enables you to complete your entire literature review from A to Z using a suite of AI tools and qualitative data analysis features. By offering targeted summaries, Paper Search 2.0 saves you countless hours that would otherwise be spent reading entire documents. Accelerate your literature review and move forward with your research more efficiently.
Future Developments
We're committed to continuous improvement. Here's a glimpse of what's coming next:
π Expanding Databases: Beyond Semantic Scholar, we'll include more major academic databases.
ποΈ Enhanced Filtering Options: More refined search capabilities to narrow down results.
π€ Advanced AI Features: Further integration of AI to uncover deeper insights within papers.
