Table of contents
Comprehensive Database
Semantic Scholar has a vast database of scholarly articles, offering users access to a wide range of scientific papers across numerous disciplines.
Advanced AI Tools
The platform uses artificial intelligence to help users find relevant research quickly and efficiently, offering features like citation graph analysis and influential citation identification.
Free Access
Semantic Scholar provides free access to its search engine and research paper database, making it accessible to a broad audience without subscription fees.
User-Friendly Interface
The interface of Semantic Scholar is designed to be intuitive and easy to navigate, allowing users to search and access articles with minimal friction.
Related Paper Recommendations
Semantic Scholar suggests related papers based on the user's search queries and interests, potentially uncovering new and relevant research.
We have collected here some useful links to help you find out if SemanticScholar is good.
Check the traffic stats of SemanticScholar on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of SemanticScholar on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of SemanticScholar's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of SemanticScholar on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about SemanticScholar on Reddit. This can help you find out how popualr the product is and what people think about it.
Hi everyone, I have been playing with a few new AI tools for literature reviews that you might like: - Seamless https://seaml.es/ - Semantic Scholar https://semanticscholar.org - Epsilon https://epsilon.ai/ I hope you find them useful. Source: almost 2 years ago
I rely mostly on Microsoft Academic Search. I find an article I need and then usually Google the exact title followed by filetype:pdf. For example: "Toward creating a fairer ranking in search engine results" filetype:pdf. Other services that are helpful from a discovery standpoint include ResearchGate, Academia.edu, and semanticscholar.org. Source: about 4 years ago
Hello! Check out our Research Feeds beta on semanticscholar.org, based in part on the arxiv-sanity.com work. From any paper you can select "Research Feed" to start a feed. Source: over 4 years ago
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Is SemanticScholar good? This is an informative page that will help you find out. Moreover, you can review and discuss SemanticScholar here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
