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Connected Papers is a remarkable tool that facilitates research exploration by offering a visual representation of connected research papers in one place. It has become increasingly difficult to keep up with the vast amount of research available today. Thus, Connected Papers provides a way for researchers to stay on top of the literature in their field and identify new trends and connections between different research areas. By leveraging network analysis algorithms, the platform constructs an interactive graph where nodes represent individual research papers, and edges indicate their relationships based on shared citations. With this visual graph, researchers can explore topics, authors, and institutions that are most relevant to their research interests. Connected Papers helps eliminate information overload by highlighting only the most important papers and providing a holistic view of the research landscape. Moreover, it promotes collaboration among researchers by facilitating the discovery of new peers and interdisciplinary areas of study. Overall, Connected Papers is a powerful tool that can benefit researchers at any stage of their career by making research exploration more accessible and seamless.
Connected Papers is a platform that lets you explore research papers and their relationships in a visual graph.
You can search for a paper by its title, author, or DOI number using the search bar on the site.
Yes, Connected Papers is completely free to use.
No, at this time you cannot upload your own papers to the platform.
The graph shows links between papers based on citation relationships. The thickness of the lines represents the strength of the relationship.
There is no limit to the number of papers you can explore on the platform.
Yes, you can save your searches as bookmarks within the platform.
The information comes directly from the research papers and their citations, but it's always important to verify information from multiple sources.
No, you can explore any research paper that has been indexed in the platform's database.
Currently, the platform only supports English, but they plan to add support for other languages in the future.
Competitor | Description | Difference |
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Semantic Scholar | A free, AI-powered research tool for scientific literature designed to help you stay up-to-date with the latest research. | Focuses on scientific literature rather than visualizations. Semantic Scholar relies on AI algorithms to process text-based research, while Connected Papers uses visualization tools. |
Microsoft Academic | A free, AI-powered research tool that provides a comprehensive search engine for academic publications and citations. | Focuses on academic publications and citations rather than visualizations. Microsoft Academic uses AI algorithms to process text-based research, while Connected Papers uses visualization tools. |
Google Scholar | A freely accessible web search engine that indexes the full text or metadata of scholarly literature across an array of publishing formats and disciplines. | Focuses on scholarly literature rather than visualizations. Google Scholar uses a text-based search engine to index scholarly literature, while Connected Papers uses visualization tools. |
SciGraph | A Linked Open Data platform that aggregates data from different sources around the web, including Springer Nature, to provide a unique graphical representation of the world of science. | Focuses on linked open data representation rather than visualizations. SciGraph provides a graphical representation for the world of science, but it is not specifically focused on creating visual graphs for research papers. |
CiteSeerX | A scientific literature digital library and search engine that focuses primarily on the literature in computer and information science. | Focuses on scientific literature rather than visualizations. CiteSeerX is a digital library and search engine that mainly focuses on the literature in computer and information science, while Connected Papers uses visualization tools. |
ArXiv | A repository of scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, finance, and statistics. | Focuses on scholarly articles in specific fields rather than visualizations. ArXiv provides access to preprints and published materials in specific fields, while Connected Papers uses visualization tools for any research papers. |
Web of Science | A curated collection of over 20,000 peer-reviewed, high-quality scientific journals, books, and conference proceedings. | Focuses on a curated collection of peer-reviewed research. Web of Science is a research database that indexes scholarly literature from multiple sources, while Connected Papers uses visualization tools for any research papers. |
Dimensions | A research database that indexes scholarly literature from multiple sources, including open access repositories, publishers, and research funders. | Focuses on indexing scholarly literature from multiple sources rather than visualizations. Dimensions is a research database that provides access to scholarly literature, patents, clinical trials, and more, while Connected Papers uses visualization tools to help researchers explore related research papers. |
Scopus | A curated abstract and citation database of peer-reviewed literature, including scientific journals, books, and conference proceedings. | Focuses on indexing and analyzing citations rather than visualizations. Scopus is a research database that focuses on indexing and analyzing citations from multiple sources, while Connected Papers uses visualization tools to help researchers explore related research papers. |
PubMed Central | A free full-text archive of biomedical and life sciences journal literature at the US National Institutes of Health's National Library of Medicine. | Focuses on biomedical and life sciences journal literature rather than visualizations. PubMed Central is a digital library that provides free access to a vast collection of biomedical and life sciences journal literature, while Connected Papers uses visualization tools for any research papers. |
Connected Papers is a powerful online tool that allows researchers and academics to explore scientific papers in a visual graph. It enables users to quickly search for and identify relevant articles, visualize connections between papers, and navigate through complex networks of research articles.
One of the key features of Connected Papers is its ability to generate a visual graph that shows relationships between scientific papers. Users can see visual representations of how papers cite other papers, providing an intuitive way to understand the evolution of ideas across research disciplines.
Connected Papers also offers a range of filtering options that enable users to refine their searches and view papers based on specific criteria. For example, users can filter papers by scholar, keyword, year, and publication venue.
Another feature of Connected Papers is the ability to save and share graphs with others. This feature allows researchers to collaborate with colleagues, share graphs with students, or simply organize their own work in a more accessible way.
Overall, Connected Papers is a valuable tool for anyone interested in exploring scientific papers in a more visual and intuitive way. It provides a powerful set of tools and features that can help researchers and academics to discover new insights and understand the connections between scientific ideas.
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