Papers Search

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Semantic Scholar

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Eagerly awaited by researchers for years, concrete examples of artificial intelligence–enabled search engines are beginning to emerge. Founded by the nonprofit Allen Institute for Artificial Intelligence, or AI2, Semantic Scholar began as a search engine for computer science, geoscience, and neuroscience in 2015. In response to researchers’ inability to keep pace with reading all of the publications in their disciplines, the purpose of the project is automated learning from text in order to overcome information overload. Our mission is to accelerate scientific breakthroughs using AI. Our Research team studies information overload and develops AI tools to overcome it. And our Product and Engineering teams deliver these unique AI-driven features at scale to millions of scholars each month.

Semantic Scholar is and always will be open and free for all to use. In addition to the search and discovery tools available at semanticscholar.org, we provide the Semantic Scholar API and Open Research Corpus as free services to the research community.

Connected Papers

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Connected Papers is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work.

How does it work? To create each graph, we analyze an order of ~50,000 papers and select the few dozen with the strongest connections to the origin paper. In the graph, papers are arranged according to their similarity. That means that even papers that do not directly cite each other can be strongly connected and very closely positioned. Connected Papers is not a citation tree.

Our similarity metric is based on the concepts of Co-citation and Bibliographic Coupling. According to this measure, two papers that have highly overlapping citations and references are presumed to have a higher chance of treating a related subject matter. Our algorithm then builds a Force Directed Graph to distribute the papers in a way that visually clusters similar papers together and pushes less similar papers away from each other. Upon node selection we highlight the shortest path from each node to the origin paper in similarity space. Our database is connected to the Semantic Scholar Paper Corpus (licensed under ODC-BY). Their team has done an amazing job of compiling hundreds of millions of published papers across many scientific fields.

Scite.ai

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  • Scite.ai ... explore connected papers in a visual graph - search powered by Semantic Scholar

Dimensions

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  • Dimensions ... the world’s largest linked research information dataset - linked research data from idea to impact

Zotero

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  • Zotero ... a free open-source reference manager

Zotero is the only software that automatically senses research on the web. Need an article from JSTOR or a preprint from arXiv.org? A news story from the New York Times or a book from a library? Zotero has you covered, everywhere.

Organization Tools & Methods

Zettelkasten ('slip box')


Zettelkasten is a collection of notes on paper slips with a special twist: It is a hypertext that he could navigate the drawer cabinet containing all the paper slips with a reasonable amount of time and energy.