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What is ScholarIQ?

ScholarIQ is an innovative online research assistant powered by AI, aimed at simplifying the exploration and examination of scientific literature. It enables researchers to pose inquiries, retrieve documents from a variety of databases like OpenAlex, ORCID, and PubMed, and even import their own search results and source materials. The platform assesses articles according to defined review standards, boosts citation-based exploration through snowballing methods, and supports users in efficiently sifting through records, emphasizing relevant excerpts, and extracting needed information from uploaded files. In addition, it offers responses and suggested values that correspond to their respective citations, ensuring that reviewers retain control over decisions related to inclusion, bias assessments, and final conclusions. ScholarIQ diligently records the identities of reviewers, the justifications for their decisions, and pertinent excerpts to guarantee transparency and accountability within the review process. The tool also includes a public research metadata atlas that links various papers, researchers, journals, institutions, and topics, thereby promoting a more integrated research landscape. This comprehensive platform serves as an essential resource for both independent researchers and review teams engaged in extensive literature searches, evidence screening, and the implementation of systematic reviews, ultimately streamlining the research journey and enhancing its reliability and effectiveness. By improving collaboration and resource sharing, ScholarIQ plays a crucial role in advancing research endeavors across various scientific disciplines.

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

Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$29/month
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

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

ScholarIQ

Date Founded

2002

Company Location

United States

Company Website

scholariq.org

Company Facts

Organization Name

Connected Papers

Date Founded

2020

Company Location

United States

Company Website

www.connectedpapers.com

Categories and Features

AI Research Tools

Not specified

Categories and Features

Academic Research

Not specified

AI Research Tools

Not specified

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