Discover papers with Semantic Scholar and ResearchDock

At ResearchDock, we are making it easier for researchers to stay up to date with the latest literature. One of the ways we do this is through our integration with Semantic Scholar, an advanced academic search engine that uses artificial intelligence to understand and surface high-quality research papers.

By combining Semantic Scholar with the context of your projects on ResearchDock, we can suggest papers that are directly relevant to the work you are doing. This helps you discover new literature faster and with less effort.

What is Semantic Scholar?

Semantic Scholar is a free academic search tool developed by the Allen Institute for AI. Unlike traditional search engines, Semantic Scholar uses natural language processing and machine learning to understand the meaning behind academic texts. It goes beyond keyword matching by identifying important concepts, methods, and relationships between papers.

Here are some of the key features of Semantic Scholar:

• Citation context: It highlights why a paper is being cited, not just how many times.
• Concept extraction: It automatically identifies the main ideas and methods in a paper.
• Semantic matching: It connects you to papers based on topic similarity, even if they use different language.
• Open access linking: It helps you find free-to-read versions of articles where available.

Semantic Scholar includes over 200 million papers across disciplines including biomedical science, computer science, physics, and social science. It is one of the most comprehensive and intelligent platforms for research discovery available today.

How ResearchDock Uses Semantic Scholar

When you create or update a project on ResearchDock, we use machine learning to identify keywords based on your project title, notes, tasks and previously saved papers. These keywords are then sent to Semantic Scholar, which returns a curated list of research papers that match your topic.

These recommended papers appear in your **Smart Suggestions **feed, a dedicated section of your project workspace where you can review and save articles. The suggestions update as your project evolves, helping you stay aligned with the latest developments in your area of research.

This means you can:

• Save time by avoiding repetitive searches
• Discover new and relevant papers based on your actual work
• Stay current with the literature as your project progresses
• Focus on research rather than information overload

Why This Matters for Researchers

Researchers often spend hours searching for relevant papers across multiple databases. Even with alerts or saved searches, it is easy to miss important publications. With ResearchDock and Semantic Scholar working together, literature discovery becomes automatic and integrated with your workflow.

Instead of switching between tools, everything you need is in one place. The more you use your project space — by adding notes, updating tasks, saving papers, or refining your title — the more accurate and helpful your recommendations will be.

Try It Out

Start a project in ResearchDock and check your Literature Feed. You will see papers tailored to your research focus, pulled from one of the most intelligent academic databases available.

This is just one of the ways we are building research-specific tools to support better workflows and save you time. If you have feedback or suggestions, we would love to hear from you.