Emma Jonson What is a highly influential citations Semantic Scholar?
While many citations are incidental, Semantic Scholar classifies some citations as being “Highly Influential,” allowing scholars to quickly determine which publications to read in depth.
What is a highly influential citations?
An author’s highly influential citation count is simply the sum of the highly influential citations of his or her papers. This metric and its implementation exemplify the potential of AI to overcome information overload in the research literature.
Is Semantic Scholar credible?
Yasser Fakri Mustafa apparently Semantic Scholar is not a reliable platform. So we should perhaps better stay away from it. Dear Yasser Fakri Mustafa , Once having an account, you can add papers.
Is Semantic Scholar better than Google Scholar?
** Semantic Scholar uses natural language processing and machine learning models to power its search engine, giving you (in theory) more relevant search results. On the contrary: it brought up more results, and more relevant results, than Google Scholar.
Is semantic scholar Open Access?
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.
What is my semantic scholar ID?
Clicking the Semantic Scholar Id link will take you to the Wikidata page – https://www.wikidata.org/wiki/Property_talk:P4012 which contains instructions to find one’s Semantic Scholar ID. The Id is a multi-digit number.
What is the most cited article ever?
The most-cited paper in history is a paper by Oliver Lowry describing an assay to measure the concentration of proteins. By 2014 it had accumulated more than 305,000 citations. The 10 most cited papers all had more than 40,000 citations.
Who has highest number of citations?
Michel Foucault has the highest number of citations which was 985524 , h-index of 292 and i10-index which was1641 .
What is meant by semantic scholar?
Different from Google Scholar, Semantic Scholar uses AI to extract meaning from research literature. It helps researchers to explore literature in a new way. You can explore related papers through Topic Pages, Author Pages, and Research Feeds. …
What is the best website for articles?
15 Scholarly search engines every student should bookmark
- Google Scholar. Google Scholar was created as a tool to congregate scholarly literature on the web.
- Google Books.
- Microsoft Academic.
- WorldWideScience.
- Science.gov.
- Wolfram Alpha.
- Refseek.
- Educational Resources Information Center.
Where is semantic scholar located?
Seattle
Semantic Scholar. Allen Institute for Artificial Intelligence (AI2), 2157 North Northlake Way, Suite 110, Seattle, WA 98103; https://www.semanticscholar.org; free.
How do I claim a paper on Semantic scholar?
Now you can edit your author page and manage your papers by claiming your author page. Visit SemanticScholar.org , find your author page, and claim.
How does Semantic Scholar help you cite papers?
Semantic Scholar automatically identifies citing papers for each publication based on the data available in our corpus (note: we index academic papers and not other content such as patents). Because of this, you may notice differences in counts when comparing against other websites.
How is an author’s H-index calculated on Semantic Scholar?
An author’s h-index is calculated using Semantic Scholar’s citation data based on the publications we currently index and only publications and citations that are discoverable on semanticscholar.org are included in Semantic Scholar’s h-index calculation. Because of this, you may notice differences in scores when comparing against other websites.
When did the Semantic Scholar project come out?
Semantic Scholar. Semantic Scholar is a project developed at the Allen Institute for Artificial Intelligence, released in November 2015. It is designed to be a “smart” search service for journal articles. The project uses a combination of machine learning, natural language processing, machine vision to add a layer…
How does a Semantic Scholar use machine learning?
Semantic Scholar uses machine learning techniques to extract meaning and identify connections from within papers, then surfaces these insights to help scholars gain an in-depth understanding quickly.