Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Wave Browser Reviews & Ratings
    4.9 out of 5 stars 52 Ratings
    Company Website for Wave Browser
  • TE Recruit Reviews & Ratings
    4.6 out of 5 stars 640 Ratings
    Company Website for TE Recruit
  • SCIKIQ Reviews & Ratings
    4.6 out of 5 stars 14 Ratings
    Company Website for SCIKIQ
  • D&B Finance Analytics Reviews & Ratings
    4.2 out of 5 stars 802 Ratings
    Company Website for D&B Finance Analytics
  • Kinderpedia Reviews & Ratings
    4.8 out of 5 stars 322 Ratings
    Company Website for Kinderpedia
  • CharityTracker Reviews & Ratings
    4.5 out of 5 stars 1,429 Ratings
    Company Website for CharityTracker
  • VKS Reviews & Ratings
    4.5 out of 5 stars 26 Ratings
    Company Website for VKS
  • AnalyticsCreator Reviews & Ratings
    4.6 out of 5 stars 46 Ratings
    Company Website for AnalyticsCreator
  • Google Cloud Speech-to-Text Reviews & Ratings
    4.5 out of 5 stars 446 Ratings
    Company Website for Google Cloud Speech-to-Text
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET

What is Semantic Scholar?

Semantic Scholar provides an array of complimentary, AI-powered tools designed for effective search and discovery, complemented by open resources specifically created for the global research community. This platform empowers researchers to swiftly understand the core concepts of scholarly papers, as our technology adeptly extracts meaning and highlights connections within the text, thus offering insights that enhance research discovery and understanding. Our goal to harness AI in creative ways is fueled by a commitment to instigating meaningful change. By tackling challenges through the lens of AI, we not only assist our community but also elevate the quality of our AI research by rooting it in real-world applications. We are firm believers that scientific knowledge should be available to everyone, and we recognize that current systems often favor certain groups of researchers over others. As a non-profit organization, we carefully evaluate the implications of our choices and actively seek avenues that promote a more equitable academic environment. Collaboration stands as a fundamental principle for us; we purposefully partner with our colleagues, knowing that collective efforts not only enhance our initiatives but also improve the quality of the results we produce. In nurturing such collaboration, we aspire to cultivate a more inclusive atmosphere that serves the interests of all researchers, ensuring that diverse voices are heard and valued in the academic discourse.

What is JabRef?

Founded in 2003, JabRef has emerged as an essential resource for countless scholars and students engaged in academic research. Our core mission is to promote the advancement of knowledge and improve the quality of scientific inquiry. We advocate strongly for open access to information, as we believe that modern science flourishes in a transparent environment. This dedication motivates us to create JabRef as a free and open-source software, employing a user-friendly text-based file format that prevents vendor lock-in. Users can easily access detailed bibliographic information through identifiers like ISBN, DOI, PubMed-ID, and arXiv-ID. Moreover, bibliographic entries can be enriched by linking them with reputable online databases such as Google Scholar, Springer, or MathSciNet. JabRef also includes functionality to automatically rename and move related files based on user-defined criteria. In addition, it provides options for customizing and adding new metadata fields or types of references. Users can efficiently categorize their articles using keywords, tags, search terms, or personal classifications, all while enjoying native support for BibTeX and BibLaTeX, which are perfect for text-based typesetting systems like LaTeX and Markdown. Ultimately, JabRef's powerful features enable users to optimize their research processes, making it a valuable asset for anyone in the academic field.

Media

Media

Integrations Supported

CiteDash
Logically.app

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Semantic Scholar

Company Location

United States

Company Website

www.semanticscholar.org

Company Facts

Organization Name

JabRef

Date Founded

2003

Company Location

Germany

Company Website

www.jabref.org

Categories and Features

Academic Research

Not specified

Categories and Features

Academic Research

Not specified

Reference Management

Not specified

Popular Alternatives

Liner Reviews & Ratings

Liner

1.6 out of 5 stars

Popular Alternatives

Scraiber Reviews & Ratings

Scraiber

Scraiber GmbH
Referencer Reviews & Ratings

Referencer

Launchpad