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What is NNScholar?

NNScholar is an innovative AI-powered academic research tool designed specifically for graduate students, professors, and research teams. This web-based platform allows users to efficiently find and screen scholarly literature, manage their paper collections, read PDFs, respond to queries, translate text, organize evidence, and plan their research effectively. Users can delve into academic databases, filter and save relevant papers, arrange references and PDFs, and examine notes derived from their sources. Additionally, the platform features document-writing tools that facilitate the drafting or refining of manuscripts and DOCX files, ensuring alignment with journal formatting standards, providing feedback on drafts, and maintaining accurate citations and consistency throughout. Moreover, specialized research agents, advanced skills, browser functionalities, and optional plugins streamline workflows for study design, data analysis, and journal submission preparations. New users can benefit from an initial set of free credits upon sign-up, while premium plans offer more extensive access through additional usage credits. Although desktop applications for macOS and Windows are currently unavailable, the browser-based interface provides immediate and efficient functionality for researchers. As the landscape of academic research evolves, it is anticipated that this platform will continue to adjust and enhance its features to meet the changing needs of its users while fostering a more productive research environment.

What is Connected Papers?

Connected Papers serves as a groundbreaking visual tool designed to assist researchers and applied scientists in exploring and understanding academic literature pertinent to their fields of interest. By inputting a "seed paper," users can generate a visual graph that displays associated papers, leveraging a similarity metric derived from co-citation and bibliographic coupling analysis. This approach allows users to identify important literature that may not have direct citations linking it to their initial work. The resulting graph provides an intuitive visual depiction of the research landscape, underscoring pivotal studies and indicating potential avenues for further exploration. Through its objective of streamlining the literature review process, Connected Papers aims to enhance efficiency and comprehensiveness for researchers, ultimately leading to a more profound comprehension of their disciplines. Additionally, this tool promotes a holistic perspective on research by uncovering unexpected connections between diverse studies, enriching the overall academic dialogue. By fostering these connections, Connected Papers not only aids in literature discovery but also inspires new ideas and collaborations among scholars.

Media

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Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$3 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

武汉衔光智能科技有限公司

Company Location

China

Company Website

www.nnscholar.com

Company Facts

Organization Name

Connected Papers

Date Founded

2020

Company Location

United States

Company Website

www.connectedpapers.com

Categories and Features

Academic Research

Not specified

AI Research Tools

Not specified

Categories and Features

Academic Research

Not specified

AI Research Tools

Not specified

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